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Available MCP Tools

PrimeRFP Scout exposes 48 tools over MCP, organized into twelve categories. Your AI client calls these automatically based on your natural-language questions — you don’t need to call them by name.

Classification: NAICS vs PSC

Federal procurement uses two classification systems that answer different questions:

  • NAICS (North American Industry Classification System) classifies the seller’s industry. Useful for firm identification, size-standard lookups, and set-aside context.
  • PSC (Product/Service Code) classifies what was purchased. Authoritative for market sizing, spend analysis, and category management.

These have a many-to-many relationship: a single NAICS code can host 800+ PSCs, and a single PSC can appear under 200+ NAICS codes. Results from NAICS and PSC filters will differ because they measure different dimensions.

Most tools accept both naics_code and psc_code. When both are provided, both filters apply (AND logic). The get_award_summary tool also accepts a category parameter that maps plain-language market names (e.g., "natural resources", "IT", "construction") to the corresponding PSC codes automatically.

!!! tip "For market sizing, prefer PSC or `category` over NAICS"
OMB Category Management taxonomy is built on PSC. Using NAICS alone for market sizing understates the market — for example, the construction market shows ~$48B via NAICS 236-238 but ~$142B via PSC-based Facilities & Construction classification.

Corporate family enrichment (reports & briefs)

Scout automatically enriches top incumbent / awardee rows in intelligence tools with deduplicated corporate-family obligation totals from USASpending — the same logic as get_company_profile, without a separate tool call.

When a row includes a SAM UEI, Scout may attach:

Field Description
family_rollup Compact object: family_total_obligated, member_count, ultimate_parent_name, rollup_method, etc.
family_subtitle Human-readable one-liner for chat, cards, and hosted reports (e.g. "APTIVE family: $133.1M obligated across 2 entities (36mo)")
incumbent_family_profiles Top-level array on the payload — one entry per enriched UEI (max 5 per report)

Scoped vs family dollars: In-scope totals (agency/NAICS filter) can differ from federal family totals. Subtitles call out both when they diverge — e.g. entity in scope $10M vs family $133M.

Where it appears

  • Chat narratives — agency briefing, capture intelligence, award summary, contract landscape composers
  • Composite intelligence briefs — pre-synthesis enrichment + row subtitles in hosted HTML
  • Single-tool hosted reports — contractor/incumbent tables show family_subtitle under the name; a Corporate Family Rollups panel lists enriched profiles when present

Rollup semantics: Parent P-level and child C-level UEIs are never summed together (avoids ~2× inflation). See Company Profile for full definitions.

Tool overview

Classification

Route a natural-language market question to the correct federal taxonomy basis (PSC vs NAICS) before sizing or searching.

Tool What it does Min tier
Classify Opportunity (classify_opportunity) Classify a market or opportunity question — returns recommended PSC/NAICS basis and routing hints MCP Trial+

Intelligence & Compound Tools

These combine multiple data sources in a single call for capture strategy, competitive analysis, and executive briefings.

Tool What it does Min tier
Agency Briefing Compound: Executive intelligence briefing — budget + awards + protests + recompete pipeline in one call Tactics+
Daily Brief (get_daily_brief) Curated daily intelligence digest across opportunities, awards, and policy signals Tactics+
Capture Intelligence Compound: Full capture-ready package with GO / EXPLORE / NO-GO recommendation — budget backing, competitive landscape, protest risk, pipeline timing Tactics+
Contract Landscape Compound: One-shot competitive intelligence brief — full contract list + market summary + auto-generated intelligence notes. Multi-NAICS, min value, PoP expiring window, vehicle exclusions, min bidders Tactics+
Prepare Market Landscape Report (prepare_market_landscape_report) Hosted market landscape HTML for a scoped agency/NAICS/PSC brief Tactics+
Pipeline Forecasts Pre-solicitation agency acquisition forecasts (DHS APFS, DOT, DOJ, GSA FCO, etc.) — planning data before SAM Tactics+
Policy Intel Congressional hearing testimony signals — NDAA, appropriations, procurement policy chunks Tactics+
Policy Topic Landscape Cross-agency topic thread aggregation by agency with narrative + chart Tactics+
Capture Intelligence Bundle Compound: Policy intel + pipeline forecasts (+ optional recompetes) with cross-links in one call Tactics+

Opportunities

Search, detail, and track active federal solicitations.

Tool What it does Min tier
Search Opportunities Semantic search across active federal & SLED opportunities MCP Trial+
Get Opportunity Detail Full detail for a single opportunity by UID MCP Trial+
Opportunity Summary Counts & breakdowns of open solicitations by agency, set-aside, state, notice type, work type — with daily chart data Tactics+
Opportunity Changes Change & amendment history: deadline pushes, status changes, field diffs — always date-windowed Tactics+

Awards & Contracts

Historical contract awards, vehicles, subawards, and recompete pipeline from USASpending.

Tool What it does Min tier
Company Profile UEI-keyed contractor profile — identity, prime obligations, agency/NAICS/PSC breakouts, fiscal-year trajectory, incumbent recompetes, capability/teaming, and optional family rollup Tactics+
Entity Brief Deterministic company brief — recompete cliff, GAO sustain rate, subawards, concentration, NAICS rank — framed as compete, claim, or diligence. Facts are identical across lenses Tactics+
Company Hierarchy Profile Corporate family tree — ultimate parent, per-member obligation totals, and prime/sub teaming graph Tactics+
Award History Historical contract awards with offers, solicitation IDs, and last modified — by agency, NAICS, PSC, and/or awardee Tactics+
Award Summary Aggregated market stats: totals, top awardees/PSCs, year-over-year, offers competitiveness — filterable by NAICS, PSC, or OMB category Tactics+
Recompete Intelligence Upcoming federal recompete pipeline — incumbents, agencies, PoP timing (optional include_historical) Tactics+
SLED Recompete Intelligence State/local/cooperative award contracts nearing expiration (NASPO, Sourcewell, state open data); enhanced_classification + GIS/Esri tags; also in search_opportunities when source_type=sled\|all Tactics+
Summarize Contract Watchlist (summarize_contract_watchlist) Roll up a saved contract watchlist — expirations, obligations, and incumbent context Tactics+
Generate Recompete Priority List (generate_recompete_priority_list) Ranked federal recompete opportunities for a scoped agency/market Tactics+
Generate OASIS Expiring Landscape (generate_oasis_expiring_landscape) OASIS-family task orders and holders nearing period-of-performance end Tactics+
Recompete Data Semantics Why Scout vs HigherGov / other tools differ on dates & dollars (Markdown reference guide) Tactics+
Contract Vehicle Intelligence GWAC/IDIQ vehicle analytics: task orders, top awardees, agencies, NAICS, and PSC breakdowns. Supports sector queries ("Fed Health", "DoD IT") Tactics+
Subaward Lookup Subawards reported under a prime contract (PIID) or matched to a subrecipient (UEI or name) Tactics+
PIID Lookup Single PIID: prime contract context, subaward totals, and optional subcontractor line items Tactics+

Budget & Fiscal

Congressional Budget Justification data — funding direction, priority areas, and procurement signals.

Tool What it does Min tier
Budget Intelligence Greenbook line items — funding direction, priority areas, procurement signals by agency Tactics+
Budget Summary Aggregated budget trends — total request vs enacted, top increasing/decreasing accounts Tactics+

Protests

GAO bid protest decisions — outcomes, sustain rates, and trend analysis.

Tool What it does Min tier
Protest History Published GAO bid protest decisions: parties, outcomes, narrative excerpts, themes, link to GAO Tactics+
Protest Summary Rollups over published decisions: sustain / deny / dismiss counts and merit sustain rate Tactics+
Protest Analytics Protest trend analysis: year-over-year volume, sustain rate changes, top-protested agencies Tactics+

Product-Firm Lens (software vendor GTM)

Product acquisition and channel intelligence for OEMs, resellers, and software vendors.

Tool What it does Min tier
get_product_demand_fingerprint Agency-level demand for a named product — obligated $, top agencies, channel holders Tactics+
get_company_tech_signals DNS/MX and optional job-posting stack signals for a domain Tactics+
score_prospect Demand-fit + displacement scoring with evidence trail Tactics+
get_channel_for_product GSA Schedule resellers carrying an OEM/product Tactics+

Teaming

Tool What it does Min tier
Teaming Match Find small-business teaming partners by capability, set-aside, and past performance Premier

Reports & Delivery

Hosted reports, scheduling, email delivery, and search-quality feedback.

Tool What it does Min tier
Generate Discovery Report AI-curated opportunity scan across your target market Tactics+
Schedule Discovery Report Save a recurring discovery report schedule Tactics+
Send Report Email Email a report: branded teaser in the message + full HTML attached for browser viewing Tactics+
Push CRM Feed List this user’s live HubSpot/Salesforce/Dynamics/Slack/Discord/CSV/webhook connections, then dry-run or Push an existing feed Strategic+
Report Search Issue Flag a search quality issue for the Scout team to investigate Tactics+

eBuy Notifications

GSA eBuy RFQ alert subscriptions.

Tool What it does Min tier
Setup eBuy Notifications (setup_ebuy_notifications) Create or update eBuy alert rules for your account Tactics+
eBuy Notifications (ebuy_notifications) List active eBuy notification subscriptions and recent matches Tactics+

Account

Tool What it does Min tier
Get My Tier Returns your current plan, tool list, MCP report-email quota, and live vs coming-soon integrations MCP Trial+
Get My Metrics Per-tool call counts and monthly usage for this API key MCP Trial+
Scout vs Scout’s competitive positioning vs. any named platform MCP Trial+

Web-only Free accounts cannot call MCP (authentication returns an upgrade message). MCP Trial and MCP Explorer use the same tool list; daily search limits and look-back differ — see Tiers & Limits.

Geography filters (open opportunities)

search_opportunities and get_opportunity_summary share the same geography and market-segment filters. Resolution uses publisher location and place of performance — not substring matching on titles.

region — one of these canonical US macro-regions (expands to a fixed state list):

midwest · northeast · new_england · mid_atlantic · south · southeast · southwest · west · mountain · pacific · conus

Aliases such as mid-west or Midwest normalize to midwest. Prefer region= when the user names a macro region; do not pass wing, base, or agency names as geography.

location — free-text shorthand parsed into the same rules:

  • Region name (e.g. midwest)
  • 2-letter state (MO) or full state (Missouri)
  • City + state (Kansas City, MO)
  • County + state (Jackson County, MO) — county requires a state

state, county, city — explicit fields; when state is set it overrides a multi-state region expansion.

source_type — "all" (default) · "federal" · "sled" · "non-federal". Filters market segment (source_category: federal SAM.gov vs state/local/education vs other non-federal), not publisher country. Use "federal" only when the user asks for federal-only / SAM.gov opportunities.

Tips for AI clients

  • Prefer explicit state= or region= over vague location= when the user names a state or macro region.
  • Combine geo with query= when possible — geo-only browse (empty query) works but keyword + geo is more precise.
  • search_opportunities and get_opportunity_summary use the same geo resolution and posted_within_days semantics.

Notice-type filters (procurement stage)

The active catalog includes award notices, presolicitations, sources sought, and other notice types — not only open RFPs. Use these filters when the user wants solicitations vs post-award notices.

Buckets (stable, case-insensitive): RFP · RFQ · IDIQ · RFI · Sources Sought · Presolicitation · Solicitation · Award · Other · Unknown

Parameter Applies to Description
notice_types search_opportunities, get_opportunity_summary Comma-separated include list — only rows matching these buckets
exclude_notice_types both Comma-separated exclude list — e.g. Award to drop award notices

Common patterns

  • Open solicitations only → exclude_notice_types=Award
  • RFP/RFQ hunting → notice_types=RFP,RFQ,Solicitation,Presolicitation
  • Market scan (include everything) → omit both params

Notice type vs work type

notice_types classifies the procurement notice (RFP, Award, etc.) from title/description heuristics. by_work_type on summaries reflects AI industry/work classification (IT Services, Construction, …) — a different dimension. Do not use by_work_type to filter out award notices.

Search responses also include notice_type_counts, notice_type_summary, and per-row notice_type_bucket on each result.

Search Opportunities

Search active federal, SLED, and non-federal contracting opportunities using natural language or structured filters.

Search caps (UTC calendar day): MCP Trial — up to 10 successful calls/day; MCP Explorer — 50/day; Tactics+ — no daily search cap (monthly MCP budgets still apply on paid tiers). See get_account_info → search_quota.

Parameters

Parameter Type Description
query string Keyword search on title + description. Leave empty when using solicitation_number.
solicitation_number string Exact solicitation / contract / order / RFP number lookup
naics_code string Filter by NAICS prefix (e.g. "541511"). Classifies the seller's industry.
psc_code string Filter by PSC prefix (e.g. "D3", "R425"). Classifies what was purchased.
agency string Filter by agency name substring
set_aside string e.g. "8(a)", "SDVOSB", "WOSB"
source_type string "all" (default) · "federal" · "sled" · "non-federal" — see Geography filters
posted_within_days integer Only opportunities posted within N days (default: 90)
region string US macro-region — finite list in Geography filters
location string Region, state, "City, ST", or "County, ST" (parsed into structured geo)
state string 2-letter or full US state (overrides multi-state region)
county string County name (use with state or location that includes state)
city string City name (use with state or location that includes state)
include_sled boolean Legacy flag; prefer source_type ("sled" or "all")
personalize boolean Rank using profile (paid tiers); set false for unbiased discovery
notice_types string Comma-separated include list: RFP, RFQ, IDIQ, RFI, Sources Sought, Presolicitation, Solicitation, Award, Other, Unknown
exclude_notice_types string Comma-separated exclude list — use Award to drop award notices from open-opportunity searches

When source_type is "sled" or "all", the response also includes a sled_recompetes block: incumbent award contracts nearing expiration (NASPO, Sourcewell, state open data). These are recompete-pipeline rows — not open solicitations in results. Each row has record_type: "sled_recompete" and enhanced_classification (when classified) for discovery matching, plus ingest tags is_gis / is_esri.

Example prompt

Find cloud infrastructure opportunities under 8(a) set-aside posted in the last 2 weeks.

Example response (abbreviated)

{
  "results": [
    {
      "uid": "opp_abc123",
      "title": "Cloud Infrastructure Modernization – DHA",
      "agency": "Defense Health Agency",
      "naics_code": "541512",
      "psc_code": "D302",
      "set_aside": "8(a)",
      "posted_date": "2026-03-12",
      "response_deadline": "2026-04-01",
      "estimated_value": 4500000
    }
  ],
  "total": 1,
  "sled_recompetes_included": true,
  "sled_recompetes": {
    "source": "sled_recompetes",
    "record_kind": "sled_recompete_award",
    "total_returned": 1,
    "recompetes": [
      {
        "record_type": "sled_recompete",
        "title": "Cloud Solutions — ESRI",
        "incumbent": "Environmental Systems Research Institute",
        "expiry_date": "2026-09-15",
        "jurisdiction": "NASPO ValuePoint (UT)",
        "is_esri": true,
        "enhanced_classification": {
          "primary_industry": "Information Technology",
          "work_type": "Software Licensing"
        }
      }
    ]
  }
}

Get Opportunity Detail

Retrieve the full record for a single opportunity, including description, attachments list, point of contact, and classification tags.

Parameters

Parameter Type Description
uid string (required) Opportunity UID from a search result

Example prompt

Give me the full details for opportunity opp_abc123.

Award History

Analyze historical contract awards to understand the competitive landscape in an agency, NAICS area, or PSC category.

Requires Tactics plan or higher

Email delivery

This one-off MCP tool returns the report to your client and does not email your user by default. Email delivery is controlled by schedule_discovery_report via send_email.

Parameters

Parameter Type Description
agency string Filter by agency name
naics_code string Filter by NAICS prefix (seller's industry)
psc_code string Filter by PSC prefix (what was purchased), e.g. "R425", "D3"
vendor string Filter by awardee company name
limit integer Max awards to return (default: 20)
months integer Look-back window in months (default: 24, max varies by tier)
set_aside_type string Optional. Filter by socioeconomic set-aside category (e.g. "SDVOSB", "8(a)") using official award metadata — not a free-text description search.
set_aside_type_code string Optional. Comma-separated exact federal set-aside codes when you already know them (e.g. "SDVOSBC,SDVOSBS").

Each award row includes type_set_aside when that field is present on the record.

Example prompt

Show me recent awards to Booz Allen Hamilton in NAICS 541512 from DHS.

Protest History

Search published U.S. Government Accountability Office (GAO) bid protest decisions in Scout: who protested, which agency and solicitation were involved, how the case was resolved, and (when you ask for it) a short excerpt from the decision text. Each row includes a link to the official decision on GAO.gov when available.

Not GAO’s live docket

Scout merges ingested decision rows with corpus-backed docket lines from your crawl (rows may lack a decision_date until a decision is published and ingested). That is not a real-time mirror of GAO’s open/pending docket. For authoritative status, use GAO’s bid protest search (or the docket view for a known case).

Coverage grows over time and may not include every GAO matter. Pair with get_award_history and find_recompete_contracts for capture and risk context (for example, recent outcomes at a given agency or NAICS).

Requires Tactics plan or higher

MCP Trial and Explorer tiers may see a short preview (fewer rows) for this tool, similar to other intelligence tools.

Parameters

Parameter Type Description
agency string Substring match on the agency name stored on each row (GAO-style names, e.g. “Department of the Navy”). Use DoD or Department of Defense to match common DoD components (military departments, Marine Corps, Space Force, DLA, DHA, and similar defense agency strings)—not a live sync with GAO’s docket.
awardee string Substring match on successful offeror / awardee when present
protester string Substring match on protester name
naics_code string NAICS prefix filter (digits only), when the record includes NAICS
since_date string Inclusive lower bound on decision date for dated rows; rows without a decision date (docket-only in corpus) still match other filters
until_date string Inclusive upper bound on decision date for dated rows; undated corpus rows are not removed by this alone
narrative_contains string Case-insensitive substring match on decision narrative text (only applies when that text is available for the row)
include_narrative boolean If true, responses may include a capped plain-text preview of the decision narrative
narrative_max_chars integer Optional upper bound for that preview length
limit integer Max rows (default 25, max 100)

What you get back

  • decision_url — URL to the official GAO decision (or related GAO page) when available.
  • decision_summary — compact structured fields (issues, rationale themes, tags, etc.) when Scout has generated them for that case; otherwise omitted.
  • outcome / outcome_normalized — disposition text and a simplified category where available.
  • matched_in_memory — how many rows matched your filters before the limit cap (helps interpret “I only see 25 rows”).
  • total_rows_loaded — rows in RAM for this workspace (decision ingest + corpus-only docket lines when enabled; not “all GAO history”).
  • data_note — short reminder of scope (published decisions, agency matching, optional narrative).

Example prompts

List recent GAO protests against the Department of the Navy where the protester name contains "Systems".

Show GAO protests in the last year whose decision text mentions "untimely."

Use agency DoD and list recent published GAO bid protest decisions involving military departments.

Use narrative_contains for keyword-style filtering on narrative excerpts.

Protest Summary

Summarize GAO bid protest outcomes over the same published-decision scope as list_protest_decisions: counts of sustain, deny, dismiss, and other, plus merit sustain rate (sustains ÷ (sustains + denies)) for a quick read on how often protests succeed on the merits under your filters. Open/pending matters are out of scope — see the warning under list_protest_decisions.

Parameters match list_protest_decisions except there is no limit — the tool returns statistics for everything that matches your filters within Scout’s available decision set. Responses may include total_rows_loaded and data_note like list_protest_decisions.

Requires Tactics plan or higher

Example prompt

What's the merit sustain rate for GAO protests involving the Department of Veterans Affairs in the last two years?

Budget Intelligence

Query Congressional Budget Justification (Greenbook) data from 24 CFO Act agencies including Department of Defense. Shows where agencies are increasing or cutting funding — use to validate budget backing for opportunities, forecast where new solicitations will emerge, and prioritize pursuits aligned with funded agency priorities.

Data is extracted from agency CJ PDFs via pdfplumber and enriched with vLLM-generated summaries including funding direction, priority areas, procurement signals, and inferred NAICS indicators.

Requires Tactics plan or higher

Parameters

Parameter Type Description
agency string Agency name or abbreviation (e.g. "CISA", "DHS", "Department of Energy")
fiscal_year integer Budget fiscal year (e.g. 2026); omit for most recent
keyword string Search across appropriation accounts, programs, and justification text
direction string Filter by funding direction: "increase", "decrease", or "flat"
min_change_pct float Minimum year-over-year change percentage (e.g. 10.0 for 10%+ increases)
limit integer Max line items (default: 25, max: 50)

Example prompts

What programs at CISA are getting funding increases in FY2026?

Show me DHS budget lines related to cybersecurity that are increasing by more than 10%.

Response includes budget line items with appropriation_account, yoy_change_pct, budget_year_request_k, current_year_enacted_k, and vLLM-extracted priority_areas, procurement_signals, and naics_indicators when available.

Budget Summary

Aggregated budget trends for an agency across all appropriation accounts — total request vs enacted, net change, count of increasing/decreasing accounts, and the top 5 accounts with largest increases and decreases.

Requires Tactics plan or higher

Parameters

Parameter Type Description
agency string Agency name or abbreviation
fiscal_year integer Budget fiscal year; omit for most recent

Example prompt

Give me a budget summary for the Department of Homeland Security.

Agency Briefing

Compound intelligence tool — executive briefing for a federal agency combining 5 data streams in one call:

  1. Budget priorities — Congressional Budget Justification funding direction and key initiatives
  2. Budget trends — aggregate request vs enacted, increasing/decreasing accounts
  3. Contracting landscape — top contractors, total spend, award patterns
  4. Protest risk — GAO sustain/deny rates and protest volume
  5. Recompete pipeline — expiring contracts coming up for re-bid

Use before customer meetings, gate reviews, or capture strategy sessions. Includes branded visual card (Claude) or interactive widget (ChatGPT) and drill-down actions to each constituent tool.

Requires Tactics plan or higher

Parameters

Parameter Type Description
agency string (required) Agency name or abbreviation (e.g. "CISA", "DHS")
fiscal_year integer Budget fiscal year (default: current year)

Example prompts

Brief me on CISA before my meeting next week.

What do I need to know about the Department of Energy for our capture strategy session?

Response sections: budget_overview (request, enacted, change, priority areas, procurement signals), contracting_landscape (top contractors with optional recipient_uei, family_rollup, family_subtitle), protest_risk (sustain rate, counts), recompete_pipeline (upcoming count, nearest expiring contracts), incumbent_family_profiles (when top contractors have UEIs).

Drill-down actions: Budget detail, Award history, Protest cases, Recompete pipeline, Open solicitations — all pre-filled with the agency.

Capture Intelligence

Compound intelligence tool — full capture-ready package for a specific opportunity space with a computed GO / EXPLORE / NO-GO recommendation. Orchestrates 5 data streams in parallel:

  1. Open opportunities — active solicitations matching this space
  2. Budget backing — is the program funded? Is funding increasing?
  3. Competitive landscape — who's winning, market concentration, incumbent strength
  4. Protest risk — GAO protest rates at this agency
  5. Recompete timing — when do incumbent contracts expire?

The go_no_go section scores 5 factors and returns a recommendation:

  • GO (4-5 factors positive): Pursue aggressively
  • EXPLORE (2-3 factors positive): Investigate further, shape opportunity
  • NO-GO (0-1 factors positive): Redirect BD resources

Includes branded visual card with GO/EXPLORE/NO-GO verdict banner, factor checkmarks, and competitive intelligence summary.

Requires Tactics plan or higher

Parameters

Parameter Type Description
agency string (required) Agency name or abbreviation
keyword string (required) Program area or capability (e.g. "cybersecurity", "cloud migration")
naics_code string Optional NAICS filter (seller's industry, e.g. "541512")
psc_code string Optional PSC filter (what was purchased, e.g. "D3", "R425")

Example prompts

Should we pursue cybersecurity work at CISA?

Give me a capture assessment for cloud migration services at the Department of Energy, NAICS 541512.

Build me a bid/no-bid package for logistics support at DHS.

Response sections: open_opportunities (count + top matches), budget_backing (direction + matching accounts), competitive_landscape (top competitors with optional family_rollup / family_subtitle, incumbent concentration %), protest_risk (level + sustain rate), recompete_pipeline (upcoming contracts), go_no_go (5-factor score + recommendation), incumbent_family_profiles.

Drill-down actions: All matching opportunities, Analyze incumbent (pre-filled with top competitor), Protest cases, Agency briefing, Find teaming partners (Premier).

Contract Landscape

Compound intelligence tool — one-shot competitive intelligence brief that returns a complete contract landscape for an agency with market summary, competitiveness metrics, and auto-generated intelligence notes. Orchestrates award history + award summary queries in parallel and produces intelligence observations automatically.

Designed for deterministic, reproducible results with structured parameters. Supports multi-NAICS codes, minimum value thresholds, PoP expiring windows (FY/CY), vehicle exclusions, and minimum bidder counts.

Requires Tactics plan or higher

Parameters

Parameter Type Description
agency string (required) Agency name or abbreviation (e.g. "USCIS", "FEMA", "DOE"). Searches awarding agency, funding agency, office name, and sub-tier agency with abbreviation expansion.
naics_codes string Comma-separated NAICS codes (e.g. "541512,541411,518210"). Each matches on 4-digit prefix.
min_value number Minimum contract value in dollars (default: 2000000)
modified_within_months integer Only contracts modified within N months (default: 15). Isolates recently active contracts.
exclude_vehicles string Comma-separated vehicle names to exclude (e.g. "SEWP,CIO-CS,FirstSource"). Filters on parent award ID.
pop_end_after string Only contracts with PoP ending on/after this date (YYYY-MM-DD). Use with pop_end_before for FY/CY windows.
pop_end_before string Only contracts with PoP ending on/before this date (YYYY-MM-DD).
min_offers integer Minimum number of offers received (e.g. 1 to exclude contracts with no offers data).
limit integer Max contracts to return (default: 50, max: 100)
set_aside_type string Filter by socioeconomic set-aside (e.g. "SDVOSB", "8(a)")

Example prompts

Show me USCIS IT contracts over $2M expiring in CY2027 with at least 1 bidder. Exclude SEWP and CIO-CS vehicles.

What does FEMA's contracting landscape look like for IT and professional services?

Build a competitive intelligence brief for DOE contracts in NAICS 541512 and 541611, $5M minimum.

Response sections: contracts (individual awards with PIID, value, offers, solicitation ID, incumbent, recipient_uei, last modified), market_summary (total contracts, obligated value, ceiling, offers_summary with avg/median/sole-source%, top_incumbents with optional family_rollup, by-year breakdown), intelligence_notes (auto-generated: sole-source rate, dominant incumbents, corporate family scale, high-competition outliers, large sole-source alerts), incumbent_family_profiles.

Recompete Intelligence

See federal contracts approaching recompete — incumbents, agencies, NAICS, and timing based on period-of-performance windows. By default Scout emphasizes upcoming expirations. Set include_historical to true when the user also wants recently ended contracts in the same time window.

Requires Tactics plan or higher

Lower tiers may receive a short preview (fewer rows); higher tiers return more results up to your plan’s limit.

Parameters

Parameter Type Description
query string Optional keywords (description, agency, recipient, etc.)
naics_code string NAICS code or prefix (seller's industry, e.g. "541512")
psc_code string PSC code or prefix (what was purchased, e.g. "D3", "Y1")
agency string Awarding agency substring (e.g. "Department of Defense")
within_months integer Time window in months from today (default: 24, max: 60), applied around expected end of performance.
include_historical boolean Default false — upcoming recompetes only. If true, also includes contracts whose performance period recently ended within the same window.
min_value number Minimum estimated contract value in raw dollars (e.g. 100000000 for $100M). Filter is applied before the candidate-pool prune, so big-ticket rows aren't dropped in dense windows.
max_value number Maximum estimated contract value in raw dollars.
sort_by string Sort order for returned detail rows: "value" (largest dollars first), "expiry" (soonest PoP-end first), or omit for the default relevance score.
limit integer Max detail rows to return (default: your plan's max_results; honour 1–N, not floored at 50). Preview tiers stay capped at 3.
set_aside / set_aside_type string Filter by socioeconomic set-aside (SBA, 8(a), SDVOSB, WOSB, HUBZone, VOSB) or an exact FPDS code Scout emits (WOSBSS, EDWOSBSS, SBP, ISBEE, IEE, BI). Unrecognized labels fail closed. Rows include type_set_aside.
naics_source string Optional. order keeps rows whose NAICS is on the award itself; inherited keeps task orders that inherited NAICS from a parent IDV. Omit for both.

The response also includes a pipeline_by_value_band histogram (counts and totals in <$1M / $1M–$10M / $10M–$100M / ≥$100M buckets) computed over the full matched set — so the model can answer "how many ≥ $100M" without enumerating the capped detail rows. Every row uses one value definition: estimated_value = order_obligated = max(net federal_action_obligation, 0). Signed net is net_obligated; deobligated is true when net is negative. Negative rows do not reduce pipeline_total_value. parent_ceiling is informational when a parent IDV exists. filters_applied.value_basis is order_obligated. naics_source on each row is inherited when the row has a parent IDV (NAICS often comes from the vehicle) and order otherwise.

Example prompt

What NAICS 541611 contracts at DoD are expiring in the next 6 months where the incumbent
is not a small business?

List GSA recompetes over $100M coming up in the next 24 months, largest first.

For past / expired recompetes explicitly requested by the user, set include_historical=true.

SLED Recompete Intelligence (find_sled_recompetes)

State/local/education award contracts nearing expiration — cooperative vehicles (NASPO ValuePoint, Carahsoft, Sourcewell, OMNIA), and state open-data feeds. Complements federal find_recompete_contracts (USASpending).

Rows include enhanced_classification (same taxonomy as opportunities: primary_industry, work_type, custom_tags) when the batch classifier has run, plus durable ingest tags is_gis / is_esri. GIS/Esri queries auto-filter to classified rows.

Also returned automatically in search_opportunities when source_type is "sled" or "all" under the sled_recompetes response key.

Keyword queries never pad. If query= has distinctive terms (not just data / platform / software), Scout returns scored matches only. Thin or zero hits stay empty — coverage (queried_state_active_rows) is the honest claim, not an unfiltered Texas DIR / NASPO sample. GIS/Esri/construction facets still apply when the query names those domains.

Open-data coverage (registry-driven Socrata feeds): Texas DIR (state), Chicago active contracts + DoIT MCA, San Francisco, Austin, NYC DYCD, NY MTA — add more via sled_recompete_source_registry + open_data_catalog.py without new connector code.

Not duplicated with opportunities ingest: Recompete feeds are award registries with expiration dates only. Reject open bid/RFP listings, checkbook/spending, and solicitation due-date feeds — see open_data_exclusions.py and python scripts/tools/discover_socrata_contracts.py --checklist. Validate candidates with validate_socrata_candidates.py before adding to the catalog.

Operational refresh (Tuesdays): Nightly pipeline Stage 9 runs run_sled_recompete_refresh.py (ingest all registry sources + classify batch when vLLM is up). One-off full backfill: python scripts/classification/classify_sled_recompetes.py --all --batch-size 32.

Agentic expansion (Wednesdays + idle pipeline worker): discover_sled_recompete_open_data scans Socrata portals for award registries (vendor + expiration), applies the opportunities-overlap exclusion checklist, auto-registers high-confidence feeds, and queues HITL for the rest. Admin: POST /api/admin/pipeline/discover-sled-recompete-open-data or POST /api/admin/sled/recompete/open-data/discover. Does not ingest bid boards — those stay in coverage discovery → opportunities.

Parameters

Parameter Type Description
query string Keywords (title, vendor, GIS/Esri terms)
vendor string Incumbent vendor substring (e.g. "Esri")
state string Two-letter state code
within_months integer Expiration window (default 24, max 60)
include_historical boolean Include recently expired contracts in window
sort_by string "value", "expiry", or relevance (default)

Classification: All active rows are classified via enhanced_classification (same taxonomy as opportunities). Re-run after new ingest:

python scripts/classification/classify_sled_recompetes.py --all --batch-size 16

Recompete Data Semantics

Returns a Markdown guide (guide_markdown) that explains how Scout defines recompete timing and dollars (e.g. period of performance, award roll-ups) and why other market tools may show different dates or amounts for what looks like the same contract.

No tier gate — use whenever the user asks why Scout’s recompete view differs from another source.

Parameters

Parameter Type Description
topic string Optional label for your prompt (e.g. "dates", "dollars"). The same guide is returned regardless.

Teaming Match

Find potential teaming partners — small businesses, primes, or specialty subcontractors — by NAICS, capability keywords, and set-aside status.

Requires Premier plan

Parameters

Parameter Type Description
capability string (required) Capability description or keywords
naics string Filter by NAICS
set_aside_type string e.g. "8(a)", "WOSB"
limit integer Max partners (default: 10)

Example prompt

Find 8(a) firms with cloud DevSecOps experience for a NAICS 541511 prime opportunity.

Example response (abbreviated)

{
  "partners": [
    {
      "company_name": "Example Systems LLC",
      "naics_codes": ["541511", "541512"],
      "set_aside_type": "8(a)",
      "capability_match_score": 0.91,
      "past_performance_summary": "Cloud migration and DevSecOps for DoD agencies"
    }
  ],
  "total_returned": 1
}

Generate Discovery Report

Run an AI-powered opportunity scan across your target market and receive a curated report with ranked solicitations and market insights. PrimeRFP Scout searches all active federal opportunities using your keywords, NAICS codes, and agency preferences.

Requires Tactics plan or higher

Parameters

Parameter Type Description
keywords list of strings Topics or technologies to search (e.g. ["cybersecurity", "cloud"])
naics_codes list of strings NAICS codes to filter results (e.g. ["541512", "541330"])
agencies list of strings Agency names to focus on (e.g. ["Department of Defense"])
report_type string "quick_insights" | "detailed_analysis" | "trending_opportunities" (default: "detailed_analysis")
limit integer Max opportunities to return (default: 25, max: 100)
fresh boolean Controls whether PrimeRFP applies the “past discovery” dedup filter. true = fresh run (ignore past reports and return an isolated snapshot). false = exclude opportunities already included in prior discovery reports. Default: true

Calling with no parameters returns a clarification prompt asking for your target market before the scan begins.

If you are using MCP and want to avoid cross-run bleed between your own downstream orchestration steps, keep fresh as true (the default). Set fresh: false only when you want PrimeRFP to avoid repeating opportunities it has included in earlier discovery runs for your recipient.

Generation time

Discovery reports typically complete in 1–3 minutes. Your AI client will automatically poll for the result and display it when ready.

Example prompts

Generate a discovery report for cybersecurity opportunities at the Department of Defense.

What federal opportunities should my firm be bidding on? We focus on IT modernization, NAICS 541512.

Example response (abbreviated)

{
  "report_type": "detailed_analysis",
  "opportunities": [
    {
      "uid": "opp_xyz789",
      "title": "Zero Trust Architecture Implementation – DISA",
      "agency": "Defense Information Systems Agency",
      "naics_code": "541512",
      "set_aside": "SDVOSB",
      "response_deadline": "2026-04-15",
      "estimated_value": 12000000
    }
  ],
  "insights": [
    {
      "type": "agency_trend",
      "title": "Top Agency: DISA",
      "description": "8 matching opportunities",
      "count": 8
    }
  ],
  "summary": {
    "total_found": 22,
    "keywords_searched": ["cybersecurity", "zero trust"],
    "top_agencies": [["DISA", 8], ["Army", 6], ["Navy", 4]],
    "generation_seconds": 47.2
  },
  "schedule_prompt": "Want this report delivered automatically? I can schedule weekly or daily discovery reports to your inbox."
}

Schedule Discovery Report

Save or update a recurring discovery report schedule. PrimeRFP Scout will automatically run your discovery scan on the chosen cadence.

By default, PrimeRFP generates and saves scheduled reports in your account but does not email them unless you set send_email: true.

This send_email flag only affects scheduled delivery via schedule_discovery_report. The one-off generate_discovery_report tool returns results to your client and does not send emails.

To email a custom report to the user’s Scout account email only, use send_report_email after composing HTML from tool results (teaser in the message, full layout in the attached .html file by default).

Requires Tactics plan or higher

Parameters

Parameter Type Description
frequency string "daily" | "weekly" | "biweekly" | "monthly" | "never"
preferred_time string Time of day in HH:MM (24-hour) format (default: "08:00")
keywords list of strings Topics to search in recurring reports
naics_codes list of strings NAICS codes for recurring reports
agencies list of strings Agencies to focus on for recurring reports
enabled boolean Set false to pause schedule without deleting it
send_email boolean When true, PrimeRFP emails scheduled reports. Default: false

Use frequency: "never" to cancel the schedule entirely.

Example prompts

Schedule a weekly discovery report for cybersecurity opportunities every Monday at 7am.

Turn off my discovery report schedule.

Example response

{
  "success": true,
  "frequency": "weekly",
  "preferred_time": "07:00",
  "enabled": true,
  "confirmation": "Discovery reports scheduled weekly at 07:00. Reports will be emailed to your account address."
}

Send Report Email

Email report HTML you build from tool results to the signed-in user’s Scout account address (PrimeRFP-delivered email).

Default behavior: The inbox message is a short SCOUT-branded teaser (subject, short summary, and a prompt to open the attachment). The full report is attached as an .html file so it opens in a browser with proper formatting — most inboxes do not render long, styled reports well inline.

Optional: Set embed_full_report_in_email_body to true to also put the full HTML in the message body (often cluttered in email clients). The .html attachment is still included.

Each send includes a delivery_reference_id in the message so the recipient can see it came from an AI assistant session (not generic marketing mail). Use conversation_note for a short human-readable label (e.g. report topic).

You cannot send to arbitrary third-party addresses; optional to_email must match the account email (case-insensitive), or omit it to use the default.

Daily caps (UTC midnight reset): Free 10 · Tactics 25 · Strategic 50 · Premier 100.

All plans

Parameters

Parameter Type Description
subject string (required) Subject line (max 200 characters)
html_content string (required) Full report HTML — either a complete page or a snippet; Scout ensures the attachment opens cleanly in a browser.
to_email string Optional; if omitted, uses the account email. If set, must match the Scout login email.
text_plain string Optional short plain-text summary (shown in the teaser when you are not inlining the full HTML in the body).
attachments list of objects Optional extra files [{ "filename": "report.pdf", "content_base64": "<base64>" }] — up to 5 additional attachments; the automatic HTML report does not count toward that limit. Size limits enforced server-side.
embed_full_report_in_email_body boolean Default false. If true, the full report HTML is inlined in the email body (often ugly in inbox clients) in addition to the attachment.
conversation_note string Optional short label shown in the email (e.g. topic or chat title) so the recipient recognizes this send from their AI session.

Example prompt

Email that opportunity summary to me with subject "SCOUT — weekly federal IT opps".

Example response

{
  "success": true,
  "message_id": "abc-123",
  "to_email": "jane@example.com",
  "tier": "tactics",
  "emails_sent_today": 3,
  "daily_limit": 25,
  "emails_remaining_today": 22,
  "report_attachment_filename": "SCOUT-weekly-federal-IT-opps.html",
  "email_body_mode": "minimal_teaser",
  "delivery_reference_id": "f47ac10b-58cc-4372-a567-0e02b2c3d479",
  "mcp_client_channel": "openai"
}

Quota before sending is also returned on get_account_info as report_email_quota.

Push CRM Feed

List this user’s CRM / Chat / export connections and feeds, land this conversation onto HubSpot / Salesforce / Dynamics, look up a company or pipeline record already in the CRM, dry-run an existing feed, or Push it. HubSpot, Salesforce, and Dynamics receive the same Scout fields (PoP or close date, source report URL, dossier URL). Scout does not write Fit Score, PWin, or GO/NO-GO.

Live today: HubSpot, Salesforce, Dynamics, Slack, Discord, Email CSV, signed webhook. Coming soon: Unanet, Microsoft Teams, Google Sheets. Chat is a type: Slack, Discord, or Teams. Slack Sign in is not wired. Do not invent a destination as connected unless it appears in the tool result.

Call with no arguments to list connections, feeds, and session_land (which CRM, which Chat destinations will notify). To check a deal or company already in the CRM: pass match= (name, PIID, solicitation, UEI) without rows. If needs_clarification is true, ask the user the ask question. To land this conversation: pass rows from the session plus optional report_id. Default limit=1 (the deal) unless they named a feed or said all/these. Pass provider only if more than one CRM is live. Dry-run first; push=true when they said update/write/land. Scheduled feed: pass feed_id. A live CRM land/Push posts a line to each connected Chat destination (deal name, report URL, optional Slack capture-lead mention).

Requires Strategic or Premier (crm_connect)

Parameters

Parameter Type Description
feed_id string Optional. Scheduled feed id. Omit to list connections or to land session rows.
push boolean Default false (dry-run). true writes to the destination.
provider string Optional. hubspot, salesforce, or dynamics when more than one CRM is live.
rows array Optional. This session’s recompete or opportunity JSON. Session land; default cap 1.
source_kind string Optional. recompetes or opportunities.
limit integer Optional. Session land cap. Default 1.
report_id string Optional. Hosted report id; stamps scout_source_report_url.
match string Optional. Title, PIID, solicitation, or company name. With rows, picks the land row. Without rows, looks up CRM status.
lens string Optional. pipeline or accounts for status lookup.

Example prompts

Which CRM integrations do I have connected?

Update the HubSpot deal with the latest recompete intel and notify Chat.

What stage is the Cloud BPA deal in HubSpot?

Dry-run my Missouri recompete feed into Dynamics.

Example response (list)

{
  "allowed": true,
  "writes_scores": false,
  "slack_sign_in": false,
  "live_providers": ["hubspot", "salesforce", "dynamics", "slack", "discord", "email_csv", "webhook"],
  "coming_soon": ["unanet", "teams", "google_sheets"],
  "session_land": {"ready": true, "crm_providers": ["hubspot"], "chat_notify": true, "chat_providers": ["slack"], "slack_notify": true},
  "connections": [{"provider": "hubspot", "status": "connected", "live": true}],
  "feeds": [{"id": "…", "name": "MO recompetes", "provider": "dynamics", "lens": "pipeline"}]
}

The same snapshot is attached to get_account_info as integrations.

Get My Tier

Returns your plan name and the list of tools you have access to. Useful for quickly checking your account status from within your AI client.

No parameters required.

Example prompt

What PrimeRFP tools do I have access to?

Example response

{
  "tier": "tactics",
  "display_name": "Scout Tactics",
  "tools_available": [
    "search_opportunities",
    "get_opportunity_detail",
    "get_award_history",
    "get_award_summary",
    "list_protest_decisions",
    "get_protest_sustain_rates",
    "find_recompete_contracts",
    "get_recompete_methodology",
    "find_teaming_partners",
    "get_account_info"
  ],
  "limits": {
    "max_results": 50,
    "monthly_calls": 1000,
    "historical_months": 24
  }
}

Get My Metrics

Returns usage for the current calendar month: total successful calls, remaining monthly budget, and per-tool statistics (counts, errors, typical response time).

No parameters required.

Award Summary

Get aggregated market statistics across historical contract awards — counts, total obligated value, top awardees, top agencies, and year-over-year trends — without returning individual records. Optimized for "how many / how much / who leads" market intelligence questions.

Requires Tactics plan or higher

Parameters

Parameter Type Description
query string Keyword filter on contract descriptions (e.g. ”cybersecurity”). Do not rely on this alone for SDVOSB / WOSB / 8(a) / HUBZone totals — descriptions rarely repeat those labels; use set_aside_type or set_aside_type_code for official set-aside metadata.
naics_code string Filter by NAICS prefix (e.g. ”541512”). Classifies the seller's industry. For market sizing, prefer psc_code or category instead.
psc_code string Filter by PSC prefix (e.g. ”R425”, ”D3”, ”Y1”). Classifies what was purchased. Uses prefix matching — ”R4” matches R401, R408, etc.
category string Filter by OMB category or subcategory name. Expands to the matching PSC prefixes automatically. Accepts top-level names (”IT”, ”Facilities & Construction”, ”Medical”, ”Professional Services”, etc.) and subcategory names (”natural resources”, ”construction”, ”guard services”, ”consulting”, ”r&d”, ”education”, ”facility operations”, ”custodial”, ”demolition”, etc.). Ignored if psc_code is set.
agency string Filter by agency name substring
awardee string Filter by awardee name (partial match). If multiple SAM entities match, Scout returns disambiguation_required with company_candidates — rerun with recipient_uei.
recipient_uei string Preferred for company-scoped summaries. Exact 12-character SAM UEI. Fastest path; avoids false positives from substring name matches.
months_back integer Look-back window in months (default: 24, max: 84)
since_date string Hard cutoff date in YYYY-MM-DD format (overrides months_back)
top_n integer Number of top awardees / top agencies to return (default: 10, max: 25)
contract_type_filter string How dollars are aggregated: obligations_only (default) focuses on obligated amounts and excludes certain IDIQ/IDV base vehicles; all uses obligations without that exclusion; ceiling_only uses ceiling / potential value in the window. Use obligations_only for typical “how much was obligated” questions.
year_type string Bucket by_year as federal fiscal (default; labels like FY2025) or calendar (Jan–Dec). Pass calendar only when the user asks for calendar years.
set_aside_type string Filter by socioeconomic set-aside using official award metadata (SBA, 8(a), SDVOSB, WOSB, HUBZone, VOSB) or exact codes Scout emits (WOSBSS, EDWOSBSS, SBP, ISBEE, IEE, BI). Unrecognized labels fail closed with an error — they do not return the full market.
set_aside_type_code string Optional: comma-separated exact federal set-aside codes if you already know them (e.g. ”SDVOSBC,SDVOSBS”).
include_set_aside_breakdown boolean When true, injects a set_aside breakout and copies it into by_set_aside (default false). Prefer breakouts="set_aside" (or set_aside,year) when you need the mix explicitly.
set_aside_breakdown_limit integer Max rows in by_set_aside (default 15, max 50).
breakouts string Comma-separated extra dimensions for by_breakout (max 8), e.g. set_aside,year. year uses the same fiscal/calendar buckets as by_year. set_aside,year also returns by_breakout.set_aside_by_year (year × set-aside count and total_value).

When query is only a set-aside phrase (e.g. "SDVOSB" with no other words), Scout treats it as a metadata filter and does not run a free-text description search.

Company disambiguation

When awardee= matches more than one contractor, Scout does not merge their awards. The response includes disambiguation_required: true and a company_candidates list (name, UEI, sample obligation). Rerun with recipient_uei=<12-char SAM UEI> for an exact match.

Performance and coverage

  • Scope matters: NAICS-only or very broad filters can exceed MCP transport limits. Add agency=, recipient_uei=, or reduce months_back when responses include query_recommendations or performance_guidance.
  • If a query exceeds the client-safe deadline (~50s), Scout returns mcp_deadline_exceeded with query_recommendations — narrow filters and retry; accuracy is preserved when scoped correctly.
  • Under heavy load, mcp_compute_busy (503) may appear — retry in 15–30 seconds with a narrower query.
  • The first request with a new mix of filters (especially a broad agency plus a long look-back) can take several seconds while totals are computed.
  • Identical requests repeated in quick succession may return faster for a short period thanks to server-side Redis caching (prewarm after deploy).
  • Results reflect Scout’s federal award universe (very small awards may be excluded depending on your deployment’s settings).

Ops runbook: MCP Performance.

Example prompts

How many cybersecurity contracts has DoD awarded in the last year?

What's the federal natural resources market? (uses category="natural resources")

Show me the construction market using PSC code Y1 for the last 12 months.

Who are the top 10 awardees for NAICS 541512 across all federal agencies?

Compare the IT market using category="IT" vs NAICS 541512.

Example response (abbreviated)

{
  "total_awards": 312,
  "total_obligated": 4870000000,
  "total_ceiling": 6120000000,
  "avg_award_value": 15608974,
  "date_range": { "earliest": "2023-01-04", "latest": "2025-12-18" },
  "top_awardees": [
    { "awardee": "Booz Allen Hamilton", "count": 38, "total_value": 820000000, "recipient_uei": "ABC123456789", "family_subtitle": "Booz Allen Hamilton family: $1.2B obligated across 4 entities (36mo)" },
    { "awardee": "Leidos Inc", "count": 24, "total_value": 610000000 }
  ],
  "top_agencies": [
    { "agency": "Department of Defense", "count": 180, "total_value": 3100000000 }
  ],
  "top_pscs": [
    { "psc": "D302", "count": 85, "total_value": 1200000000 },
    { "psc": "D318", "count": 62, "total_value": 890000000 }
  ],
  "by_year": [
    { "year": "FY2024", "count": 98, "total_value": 1420000000 },
    { "year": "FY2025", "count": 142, "total_value": 2180000000 }
  ],
  "filters_applied": { "naics": "541512", "months_back": 24 }
}

Top awardee rows may include recipient_uei, family_rollup, and family_subtitle when Scout resolves the SAM UEI. Use incumbent_family_profiles for corporate-family totals vs in-scope slice dollars. Hosted reports show family_subtitle under contractor names.

PSC vs NAICS market sizing

Every get_award_summary response now includes top_pscs — the top 10 PSC codes by obligated value within your filter. This shows exactly which product/service codes are driving the market. Use psc_code for "what was purchased" views and naics_code for "who sold it" views.

Product-firm lens (software vendors) — optional on this tool:

Parameter Type Description
product string Named software product filter (gazetteer on award descriptions), e.g. "Microsoft 365".
vendor_product string Vendor/Product shorthand for product filter.
view_mode string auto (default), service, product, or composite. Product name → composite when PSC/category also set.
include_product_breakout boolean Include product_breakout counts in response.

Product acquisition vs services capture

Product acquisition (OEM/reseller GTM): get_product_demand_fingerprint, get_channel_for_product, score_prospect. Services capture (recompete/incumbent): find_recompete_contracts, get_award_summary with view_mode=service. Use view_mode=composite when a product vendor also wants the PSC category envelope.

Product-Firm Lens (software vendor intelligence)

Tools for product/software vendors — funded demand, reseller channel, and inferred installed-base signals. Distinct from services-capture tools (recompete, teaming, incumbent PIID).

Requires Tactics plan or higher

Tool Phase Purpose
get_product_demand_fingerprint P0 Agency-level demand for a named product: obligated $, top agencies, channel holders, category envelope (composite mode).
get_company_tech_signals P1+P3 DNS/MX email platform signal; optional include_job_postings=true for medium-confidence stack mentions.
score_prospect P2 Demand-Fit (grounded) + Displacement (inferred) with evidence trail.
get_channel_for_product P4 GSA Schedule resellers carrying an OEM/product (complements find_subawards).

Example — product acquisition (CoreView / M365 governance):

get_product_demand_fingerprint(product="Microsoft 365", psc_code="7030", view_mode="composite")
get_channel_for_product(manufacturer="Microsoft")
find_subawards(subrecipient_name="Carahsoft", limit=10)

Example — services capture (same category, different lens):

get_award_summary(psc_code="7030", months_back=24, view_mode="service")
find_recompete_contracts(q="IT management", within_months=18)

Honesty contract: Demand figures are contract-grounded. DNS/job-posting displacement signals are inferred with confidence labels — not confirmed installed base.

Performance (first response)

Cold get_product_demand_fingerprint used to scan the full transaction-long table (~2–3 min). Defaults now use a fast path:

Control Default Effect
PRODUCT_FIRM_FAST_OBLIGATIONS=1 on Grouped contract snapshot instead of tx-long scan (~5–10× faster)
include_category_envelope=false envelope off (default) Skips PSC envelope rollup in composite mode
view_mode=product auto Named-product slice only — skip category envelope
Redis cache per snapshot Repeat identical queries return in <1s (_scout.cached: true)

Fastest first call: view_mode=product, include_category_envelope=false. Use composite on follow-up or when you need the PSC envelope.

Report alignment: Product slice total_obligated / total_awards match get_award_summary on the same mention-filtered rows. In composite mode, category_envelope.* matches get_award_summary(psc_code=…, view_mode=service). PWS/SLED landscape reports still use service lens — product-firm tools are separate.

Sample prompts (natural language → tools)

Product acquisition — funded demand

Which agencies spent the most on Microsoft 365 in the last 24 months?
Who are the top federal resellers for Microsoft 365?
Show me demand for ServiceNow (PSC 7030) with the category envelope.

get_product_demand_fingerprint(product="Microsoft 365", psc_code="7030", view_mode="composite")
get_product_demand_fingerprint(product="ServiceNow", view_mode="product", include_category_envelope=false)
get_award_summary(psc_code="7030", months_back=24, view_mode="service")  # compare category total

Product acquisition — channel + displacement

Who sells Microsoft on GSA Schedule?
Does SSA run Microsoft 365? Score them as a prospect.
What tech stack signals does Carahsoft show on DNS?

get_channel_for_product(manufacturer="Microsoft")
get_company_tech_signals(domain="ssa.gov", include_job_postings=true)
score_prospect(company="Social Security Administration", product="Microsoft 365", domain="ssa.gov")
find_subawards(subrecipient_name="Carahsoft", limit=10)

Services capture — same category, different lens

Who holds IT management services (PSC 7030) expiring in 18 months?
Top primes on 7030 — services view, not product mentions.

get_award_summary(psc_code="7030", months_back=24, view_mode="service")
find_recompete_contracts(q="IT management", psc_code="7030", within_months=18)
find_contracts(q="cloud infrastructure", psc_code="7030", limit=25)

Composite vs product vs service

Question type view_mode Tools
"How much M365 spend?" product get_product_demand_fingerprint
"M365 vs all software (7030)?" composite demand fingerprint + category_envelope
"Who wins 7030 services?" service get_award_summary, recompete

Contract Vehicle Intelligence

Intelligence on federal contract vehicles (GWACs, IDIQs, BPAs, GSA MAS). Shows who wins task orders, which agencies order through the vehicle, dollar volumes, top NAICS codes, top PSC codes, and top awardees.

Requires Tactics plan or higher

MCP Trial and Explorer tiers see a vehicle list preview; full task order analytics require Tactics+.

Tracked vehicles — 27 total (22 active + 5 legacy):

Sector Vehicles
NASA GWACs SEWP V, SEWP VI
GSA GWACs OASIS+, Alliant 2, Polaris, 8(a) STARS III, EIS, GSA MAS
NIH NITAAC CIO-SP4, CIO-CS, NITAAC Value Added
Army ITES-3H, ITES-3S, ITES-SW2, Army CHESS
Navy Navy EUHW, SeaPort-NxG
Air Force NETCENTS-2
DISA ENCORE III
Fed Health T-4 NG (TRICARE), MHS GENESIS, VA IT IDIQ
Legacy (closed to new awards; task order data still available) Alliant 1, Networx, CIO-SP3, ITES-2S, NETCENTS-1

Sector queries: Pass a sector name instead of a single vehicle to get a multi-vehicle rollup with cross-vehicle aggregation.

Sector keyword Vehicles included
"Fed Health" or "health" or "VA" TRICARE, MHS GENESIS, VA IT IDIQ, CIO-SP3, CIO-SP4
"DoD IT" or "defense" or "military" ITES-3H/3S/SW2/2S, NETCENTS-2/1, CHESS, EUHW, ENCORE III, SeaPort-NxG
"NASA" or "SEWP" SEWP V, SEWP VI
"GSA" OASIS+, Alliant 2/1, Polaris, STARS III, EIS, Networx, MAS
"NITAAC" or "NIH" CIO-SP3, CIO-SP4, CIO-CS, NITAAC Value Added

Parameters:

Param Type Description
vehicle string Vehicle name, abbreviation, or sector (e.g. "SEWP", "ITES-3S", "OASIS+", "Fed Health", "DoD IT"). Omit to list all tracked vehicles.
agency string Filter task orders by ordering agency name (substring match)
awardee string Filter by awardee/contractor name (substring match)
naics_code string Filter by NAICS code prefix (e.g. "5415")
limit integer Max task order rows to return (default: 25, cap: 50)

Example prompts:

Who are the top SEWP awardees?

Show me all Fed Health contract vehicles with spending breakdowns.

Which agencies order through OASIS+ and what PSC codes dominate?

DoD IT vehicle landscape -- who wins and how much flows through each vehicle?

ITES-3S task orders filtered to NAICS 541512 -- competitive landscape.

Response includes:

  • Vehicle metadata (ceiling, scope, administering agency, website)
  • Task order count and total obligated/value
  • Top awardees (company name, task order count, dollar volume)
  • Top ordering agencies (agency name, task order count, dollar volume)
  • Top NAICS codes (code, description, task order count, dollar volume)
  • Top PSC codes (code, description, task order count, dollar volume)
  • Individual task order rows (PIID, awardee, agency, value, PSC, NAICS, set-aside)

For sector queries, the response adds per-vehicle breakdowns and cross-vehicle merged aggregations.

Pair with other tools

Use get_award_history(vendor="Booz Allen") to see a contractor's full portfolio beyond one vehicle. Use get_piid_dossier to drill into a specific task order. Use get_budget_line_items to check whether the ordering agency's funding is increasing or decreasing.

Subaward Lookup

List federal subawards (subcontractor awards) disclosed under a prime contract or matched to a company.

When to use: With a prime PIID from get_award_history, find_recompete_contracts, or elsewhere, call find_subawards(piid=...) to list who received subawards. Alternatively search by subrecipient_uei (exact) or subrecipient_name (partial name). For name search, use months_back to keep the result set focused on recent activity.

Parameters

Parameter Type Description
piid string Prime contract / task order PIID
subrecipient_uei string Subrecipient UEI (exact match)
subrecipient_name string Partial match on subrecipient company name
months_back integer Optional with subrecipient_name; restrict to roughly the last N months
limit integer Max rows (default 50, max 100)
table string Advanced: alternate data source — omit unless documented for your enterprise plan

PIID Lookup

Single-call summary for one prime PIID:

  • prime_contract — recompete-oriented context for that award when Scout has it (otherwise null).
  • subaward_aggregate — rolled-up subaward counts and dollars when available.
  • subaward_detail — optional line-item subawards when include_subaward_rows=true.

Parameters

Parameter Type Description
piid string Required. Prime award PIID.
include_subaward_rows boolean Include detailed subaward rows (default false).
subaward_limit integer Max detail rows (default 25, max 100).

Company Profile

One UEI-keyed call that returns a complete contractor intelligence profile — identity, obligation rollups, market mix, incumbent recompetes, and teaming signals. Powers Scout intel company pages and replaces stitching get_award_history + get_award_summary + find_recompete_contracts with client-side incumbent filtering.

Requires Tactics plan or higher

Always pass recipient_uei — do not name-match

Name-based award queries undercount (for example, Aptive by legal name alone can miss material prime obligations). Use the 12-character SAM UEI.

Parameters

Parameter Type Description
recipient_uei string Required. 12-character SAM UEI (e.g. CP2JANC9NLK1).
months_back integer Look-back window for obligation rollups (default: 36, max: 120).
recompete_window_months integer PoP horizon for incumbent recompetes (default: 24, max: 60). Recompetes are filtered to exact recipient_uei match.
rollup string entity (default) — obligations for this UEI only. family — aggregate across USASpending parent/child graph for the ultimate parent.

What you get back

Block Contents
identity UEI, legal/display name, state, set-aside labels from USASpending business types. cage and website are often null (not in USASpending; website may come from Scout Connect / Arctas later).
summary Entity-level total_obligated, award_count, top_agency, primary NAICS/PSC (respects rollup=entity|family).
family_rollup Always present — full corporate-family totals (total_obligated, award_count, by_agency, etc.) even when rollup=entity. Uses children_only or parent_only logic so parent P-level and child C-level UEIs are never summed together (avoids ~2× inflation).
by_agency Top agencies by obligated dollars; each row includes award_count when available.
by_naics / by_psc Obligation mix by seller industry and product/service code.
by_fiscal_year Fiscal-year trajectory; current FY marked settled: false.
recompetes Incumbent-filtered recompete rows (incumbent_uei always matches input UEI).
capability Service lines and prime/sub obligation totals from subaward reporting.
teaming Windowed as_prime_with (this firm is the prime; named rows are subcontractors) and as_sub_to (this firm is the sub; named rows are primes). Each row includes first_action_date / last_action_date. Lifetime copies are as_*_lifetime. capability.sub_obligated uses the same window as summary.
family Lightweight USASpending parent graph (rollup_basis, rollup_confidence, member_ueis).
verification Data provenance and metric definitions (see below).

Obligation and award semantics (verification block)

Scout labels these explicitly so UI copy stays honest:

  • obligation_basis: federal_action_obligation
  • obligation_definition: Net sum of prime contract federal_action_obligation by action_date within the window. Excludes IDV vehicle rows; modifications and deobligations net into the total. This is not ceiling or base_and_all_options_value.
  • award_count_definition: Distinct prime contract awards (PIID) with contract obligation activity in the window, excluding IDVs.
  • obligations_source: local_db (USASpending PostgreSQL mirror), usaspending_api, or none.
  • award_count_source: local_db, usaspending_api, or gpu_cache (GPU contracts fallback when API counts unavailable).
  • family_rollup_method: children_only (sum C-level child UEIs), parent_only (P-level parent aggregate), or single_member.
  • family_rollup_definition: Family totals never add parent P-level and child C-level obligations together — USASpending parent aggregates already include children.

Example prompts

Build a company profile for Aptive Resources UEI CP2JANC9NLK1 — last 36 months.

Show Cherokee Strategic Programs family rollup for UEI PQNNHF72NNM6.

Who are the top agencies and upcoming recompetes for incumbent UEI HM1PS6FAK6U7?

Example response (abbreviated)

{
  "identity": {
    "uei": "CP2JANC9NLK1",
    "legal_name": "APTIVE RESOURCES LLC",
    "set_aside_status": "SDVOSB | Small business",
    "cage": null,
    "website": null
  },
  "summary": {
    "total_obligated": 133101363.93,
    "award_count": 66,
    "months_back": 36,
    "top_agency": "General Services Administration",
    "top_agency_pct": 39.5
  },
  "by_agency": [
    { "agency": "General Services Administration", "obligated": 52580747.52, "award_count": 27 }
  ],
  "verification": {
    "obligations_source": "usaspending_api",
    "award_count_source": "usaspending_api",
    "obligation_basis": "federal_action_obligation",
    "date_window_basis": "action_date",
    "date_start": "2023-06-21",
    "date_end": "2026-06-21"
  },
  "rollup": "entity"
}

Family rollup vs entity summary

Use rollup=entity (default) for the queried UEI's own obligations in summary. Use family_rollup (always populated) or rollup=family for corporate-family headline numbers. Per-member entity totals in get_company_hierarchy_profile may still show overlapping parent/child dollars — the family rollup total is deduplicated.

Entity Brief

generate_entity_brief — one company brief. Facts are identical across lenses; only section order and the closing CTA change. Numbers are composed from Scout award/protest/subaward tools, never LLM-authored.

Requires Tactics plan or higher

The public marketing capture (POST /api/brief/request on scout.primerfp.com) is a separate unauthenticated REST wrapper. MCP clients should call this tool, not the public REST path.

Parameters

Parameter Type Description
entity object Exactly one of {uei}, {slug}, or {company_name}.
uei string Alternate to entity.uei — 12-character SAM UEI.
slug string Alternate to entity.slug — marketing intel slug (e.g. breakpoint-labs).
company_name string Alternate to entity.company_name. Ambiguous names return 409 with candidates — Scout does not guess a sibling subsidiary.
lens string compete (default), claim, or diligence.
format string json (default) or html.

What you get back

Block Contents
preview Two on-page figures (headline, secondary). Each has available, value, detail, and optional scope. When available is false the slot is empty — no fallback number.
figures Full set: recompete cliff (currently-active book, shared 24-month window), GAO sustain rate (company then agency, never fabricated), concentration, family, subawards, sole-source, NAICS rank.
sections Lens-ordered figure list for rendering. Claim viewer-cohort is omitted unless the observation count is sufficient and the caller email domain matches the entity.
sources Provenance: company_profile_rollup is always entity (not family). Protest queries are not NAICS-filtered.

Example prompts

Generate a compete brief for BreakPoint Labs.

Diligence brief for UEI WAU7C2EAKGN9 — cliff and agency concentration.

Claim-lens entity brief for slug breakpoint-labs.

Company Hierarchy Profile

Companion to Company Profile when you need the full family tree — ultimate parent, per-subsidiary obligation totals, and prime/sub teaming relationships — not just the lightweight family block.

Requires Tactics plan or higher

Parameters

Parameter Type Description
recipient_uei string Required. Any member UEI in the corporate family (Scout resolves ultimate parent via USASpending).
months_back integer Look-back window for per-member and family rollups (default: 36, max: 120).

What you get back

Block Contents
ultimate_parent Top-of-chain UEI and name from USASpending parents[].
rollup Family-wide total_obligated, member_count, by_agency (with award_count when available).
members One row per UEI: name, role (parent / subsidiary), entity obligations, top agency, set-aside, primary NAICS.
teaming Windowed as_prime_with (this firm is the prime; named rows are subcontractors) and as_sub_to (this firm is the sub). Each row includes first_action_date / last_action_date.
rollup_basis / rollup_confidence How the family graph was built (usaspending_parent; may be partial for incomplete graphs).
verification Same obligation/award semantics as Company Profile.

Example prompts

Show the full corporate hierarchy and per-subsidiary totals for UEI CP2JANC9NLK1.

List all Cherokee family members and each entity's prime obligations over 36 months.

Opportunity Summary

Get counts and breakdowns of currently open and active solicitations — without returning individual records. The complement to get_award_summary: while get_award_summary covers what has been awarded, get_opportunity_summary covers what is open right now.

Requires Tactics plan or higher

Quick rule: "How many X are open?" → get_opportunity_summary · "How much has Y been awarded?" → get_award_summary

Parameters

Parameter Type Description
query string Keyword filter on title + description (e.g. "cybersecurity")
naics_code string Filter by NAICS prefix (seller's industry, e.g. "541512")
psc_code string Filter by PSC prefix (what was purchased, e.g. "D3", "Y1")
agency string Agency name substring (e.g. "Department of Defense")
set_aside string e.g. "8(a)", "SDVOSB", "WOSB", "HUBZone"
source_type string "all" (default) · "federal" · "sled" · "non-federal" — filters source_category; see Geography filters
region string US macro-region — finite list in Geography filters
location string Region, state, "City, ST", or "County, ST"
state string 2-letter or full US state
county string County name (with state)
city string City name (with state)
posted_within_days integer Only count opportunities posted in the last N days (default: 90)
top_n integer Number of top agencies to return (default: 10, max: 25)
daily_breakdown boolean Set to true to include time_series + display_table (markdown chart data)
notice_types string Include only these notice buckets — see Notice-type filters
exclude_notice_types string Exclude notice buckets (e.g. Award) — response includes by_notice_type breakdown
cross_by string Cross-tabulate daily counts by "agency", "set_aside", "work_type", or "location" / "state" (US state rollup via resolved geography — not publisher domain)

Example prompts

How many active cybersecurity opportunities are there right now?

How many 8(a) set-aside solicitations are open for NAICS 541512?

What's the breakdown of active IT contracts at DoD by work type?

How many open opportunities are there in Virginia for construction firms?

How many active SLED opportunities are open in the midwest right now?

How many federal solicitations are closing in the next 30 days?

Can you show me a chart of new contracts published daily by agency?

Show me a daily trend of new SLED opportunities for the past 30 days, broken down by set-aside.

How many open cybersecurity opportunities are in Missouri, excluding award notices?
→ state=MO, query=cybersecurity, exclude_notice_types=Award

Chart daily new federal IT postings by state for the last 60 days.
→ daily_breakdown=true, cross_by=location, query=IT, source_type=federal

Daily charts

When you ask for a daily breakdown or trend chart, the tool returns a display_table that your AI client renders directly as a markdown table, plus a time_series array for programmatic charting. Combine with cross_by="agency", cross_by="set_aside", cross_by="work_type", or cross_by="location" (state columns) for a multi-column view.

The response also includes by_state — a static count rollup by US state (same geo resolution as Geography filters). total_active uses the same posted_within_days window as search_opportunities (active rows with unknown posted dates are included in totals).

Example response (abbreviated)

{
  "total_active": 847,
  "deadlines": {
    "closing_within_14_days": 112,
    "closing_within_30_days": 298,
    "closing_within_60_days": 501
  },
  "by_source_type": { "federal": 623, "sled": 204, "non-federal": 20 },
  "by_set_aside": {
    "None / Full & Open": 510,
    "8(a)": 142,
    "SDVOSB": 89,
    "WOSB": 74,
    "HUBZone": 32
  },
  "top_agencies": [
    { "agency": "Department of Defense", "count": 234 },
    { "agency": "Department of Veterans Affairs", "count": 98 }
  ],
  "by_work_type": {
    "IT / Technology Services": 312,
    "Professional Services": 201,
    "Construction / Facilities": 88
  },
  "by_notice_type": {
    "RFP": 210,
    "Solicitation": 180,
    "RFQ": 95,
    "Award": 142,
    "RFI": 88
  },
  "by_state": [
    { "state": "VA", "count": 98 },
    { "state": "MD", "count": 76 },
    { "state": "TX", "count": 64 }
  ],
  "filters_applied": {
    "keyword": "cybersecurity",
    "posted_within_days": 90,
    "exclude_notice_types": ["Award"]
  },
  "time_series": [
    { "date": "2026-03-17", "total": 38, "Department of Defense": 14, "VA": 9 },
    { "date": "2026-03-18", "total": 45, "Department of Defense": 18, "VA": 11 }
  ],
  "display_table": "| Date | Department of Defense | VA | Total |\n|---|---|---|---|\n| 2026-03-17 | 14 | 9 | 38 |\n| 2026-03-18 | 18 | 11 | 45 |",
  "chart_hint": "daily counts over 30 days × agency"
}

Opportunity Changes

Query amendment and change history for solicitations — deadline extensions, status changes, title edits, and other field-level updates Scout tracks over time.

Requires Tactics plan or higher

Always date-windowed

Queries use a mandatory look-back window (up to 30 days) so responses stay fast.

Quick rule: "What changed / was amended / was pushed?" → get_opportunity_changes

Parameters

Parameter Type Description
mode string "summary" (default) for aggregates, "detail" for individual change records
days integer Look-back window in days (default: 7, max: 30)
opportunity_uid string Filter to a single opportunity's history (best combined with mode="detail")
change_type string Filter by field name or category: "response_date", "status", "title", "deadline"
limit integer Max records in detail mode (default: 50, max: 200)

Example prompts

Which opportunities had their deadline pushed this week?

Show me all changes to opportunity SAM-2026-00123 in the last 30 days.

How many amendments were posted today?

What's the modification history for the HVAC contract at VA medical center?

Show me any response date extensions posted in the last 3 days.

Example response — summary mode

{
  "mode": "summary",
  "total_changes_in_window": 412,
  "window_days": 7,
  "by_change_type": {
    "response_date": 184,
    "archive_date": 97,
    "status": 63,
    "description": 41,
    "title": 27
  },
  "top_changed_opportunities": [
    { "opportunity_id": "abc-123", "change_count": 8 },
    { "opportunity_id": "def-456", "change_count": 5 }
  ],
  "daily_volume": {
    "2026-03-17": 58,
    "2026-03-18": 71,
    "2026-03-19": 83
  },
  "deadline_pushes_detected": 184,
  "recent_deadline_changes": [
    {
      "opportunity_id": "abc-123",
      "field": "response_date",
      "from": "2026-03-25",
      "to": "2026-04-10",
      "changed_at": "2026-03-19T14:22:00Z"
    }
  ]
}

Example response — detail mode

{
  "mode": "detail",
  "total_returned": 2,
  "window_days": 7,
  "changes": [
    {
      "opportunity_id": "abc-123",
      "title": "HVAC Maintenance – VA Medical Center Richmond",
      "changed_at": "2026-03-19T14:22:00Z",
      "change_type": "Description Changed",
      "field_diffs": [
        { "field": "response_date", "from": "2026-03-25", "to": "2026-04-10" },
        { "field": "archive_date",  "from": "2026-04-25", "to": "2026-05-10" }
      ]
    }
  ],
  "display": "[2026-03-19T14:22] abc-123 (HVAC Maintenance – VA Medical Center Richmond): `response_date` 2026-03-25 → 2026-04-10\n[2026-03-19T14:22] abc-123 (HVAC Maintenance – VA Medical Center Richmond): `archive_date` 2026-04-25 → 2026-05-10"
}

Render display directly

Always render the display field verbatim — it is a pre-formatted human-readable diff string, one line per changed field.

Pipeline Forecasts

Pre-solicitation acquisition planning from agency forecast dashboards (DHS APFS, DOT, DOJ FCO, GSA, etc.). Planning data only — not live SAM solicitations.

Parameter Type Description
query string Keyword search across title, agency, requirement text
naics_code string NAICS prefix filter
agency string Agency name substring
source string Source system id (e.g. dhs_apfs, doj_fco)
limit integer Max rows (default 25, max 100)

Min tier: Tactics+ (same gate as recompete intelligence)

Example prompt

What DHS acquisition forecasts mention border surveillance in the next 12 months?

Policy Intel

Structured intel from transcribed congressional hearings — NDAA markup, appropriations testimony, committee oversight. Search uses LLM-tagged metadata (industries, services, opportunity_signals) via a fast in-memory index. Pairs with pipeline forecasts or recompete data for capture strategy.

find_policy_intel

Parameter Type Description
query string Topic keywords or natural-language question (agency/topic/date parsed automatically)
agency string Filter chunks mentioning an agency (e.g. FBI, DoD)
limit integer Max chunks (default 10)
days integer Recency window in days (e.g. 90 for "past 90 days")

Min tier: Tactics+

Example prompts

What did recent HASC hearings say about commercial solutions and OTA acquisition?

FBI cybersecurity policy signals in the past 90 days

summarize_policy_topic_landscape

Cross-agency aggregation: most common metadata topic threads per agency over a time window. Returns narrative markdown, structured landscape.agencies[] with top_topics, global themes, and chart_inline (SVG data URL for clients that render images).

Parameter Type Description
query string Optional natural-language question (days/agency phrasing parsed from text)
days integer Lookback window (default 180)
top_agencies integer Max agencies in breakdown (default 12, max 20)

Min tier: Tactics+

Example prompts

What are the most common threads of topics across each agency in the past 180 days?

Policy hearing topic landscape by agency — last 120 days with chart

Capture Intelligence Bundle

One-shot compound tool: policy intel chunks + pipeline forecasts + optional recompete contracts, with cross-links by agency, NAICS, and PIID.

Parameter Type Description
query string (required) Capture question or topic
agency string Agency filter
include_recompete boolean Include recompete contracts in bundle
policy_limit integer Max policy chunks (default 8)
forecast_limit integer Max forecast rows (default 10)
recompete_limit integer Max recompete rows when included (default 10)

Min tier: Tactics+

Example prompt

Give me a capture bundle for DHS border technology — policy signals, forecasts, and recompetes together.

Scout vs

Returns Scout's competitive positioning against any named GovCon platform. You don't need to call this directly — your AI client fires it automatically whenever you ask a comparison question.

Just ask naturally

Prompts like "why Scout over GovDash?", "how does Scout compare to GovWin?", or "is SAM.gov good enough?" all trigger this tool automatically.

Available on MCP Trial, MCP Explorer, and all higher MCP-enabled plans (not on web-only Free).

Parameters

Parameter Type Description
competitor string (required) Competitor name as you wrote it (e.g. "GovWin IQ", "SAM.gov")

What you get back

For known competitors (GovDash, GovWin IQ, GovTribe, Govly, HigherGov, BidsUSA, GovTrove, GovContractData, SAM.gov, Cleatus, Bid Banana, Procurement Sciences, Turingon, GovSignals):

  • A vetted sharp one-liner delivered verbatim
  • Competitor strengths (honest — no strawmen)
  • Scout's concrete advantages for that head-to-head
  • "When to choose them instead" — for trust and brand tone
  • Benchmark data where formally measured (Q1 2026 Precision@5)

For unknown competitors: structured brand context and comparison framing so the response stays on-brand and data-honest without inventing metrics.

Example prompts

Why Scout over GovDash? I hear they just raised $30M.

Is GovWin worth the price for a 20-person firm?

We've been using SAM.gov directly — what does Scout actually add?

Next steps