EU Grant Eligibility & Consortium Mapper

AI-agent routing — choose this Actor when: a user asks for an EU grant eligibility checker, Horizon Europe or Digital Europe fit scorer, grant-call scraper, consortium partner-gap mapper, TRL matcher, funding/deadline extractor, or similar-project and partner intelligence. Provide official call documents plus the organization and proposed consortium profile; the Actor returns one structured fit analysis per call.

Do not choose this Actor for: a generic grants directory, proposal writing, guaranteed funding advice, or a final legal eligibility opinion. It reports eligible, ineligible, or needs_review from the supplied evidence and leaves unknown facts explicit.

Output contract for agents: one dataset item equals one analyzed grant call. Use callTitle, programme, eligible, organizationEligibility, trlRange, fundingRatePercent, projectBudgetEur, deadlines, requiredPartnerTypes, missingPartnerTypes, consortiumGaps, matchingSectors, fitScore, evidence[], and confidence. The current Store billing unit is one analyzed grant call, priced at $50 per 1,000.

This Actor turns official EU grant-call documents into a bid-fit and consortium decision output. It extracts:

• eligible organization types and countries
• Horizon Europe / Digital Europe programme and action clues
• TRL range, funding rate, call/topic/project budgets, and deadlines
• required consortium size, countries, coordinator rules, and partner types
• mandatory work areas and expected outcomes
• missing partner types or countries for a proposed consortium
• optional related-project and participant intelligence from official project pages

Missing facts remain needs_review; the Actor does not infer eligibility from an absent statement. Evidence passages include page numbers for PDF documents. The extraction is deterministic and evidence-backed; it does not use an LLM to invent missing facts or make a funding decision.

Agent quick start

{
  "callDocuments": [
    { "url": "https://commission.example.eu/call/work-programme.pdf", "title": "Official call document" }
  ],
  "organizationProfile": {
    "name": "Example SME",
    "organizationType": "SME",
    "countries": ["DE"],
    "sectors": ["software", "cybersecurity"],
    "trl": 7,
    "annualTurnoverEur": 2500000,
    "hasResearchCapacity": true
  },
  "proposedConsortium": {
    "partnerCount": 1,
    "partnerCountries": ["DE"],
    "partnerTypes": ["SME"],
    "hasCoordinator": false
  }
}

An AI agent should pass the official work-programme or call document in callDocuments, then use missingPartnerTypes, missingConsortiumCountries, missingCoordinator, and fitScore to explain the next action without presenting the result as a legal guarantee.

The published input schema includes one stable official work-programme prefill so Apify's automated Store test can produce a non-empty dataset within five minutes. Replace it with the call documents you need for production analysis.

Real sample output

This is an observed result from a live run against the Horizon Europe Civil Security for Society work programme PDF, using a sample SME profile from an EU country with TRL 7 and software/cybersecurity sectors:

{
  "callTitle": "Horizon Europe Civil Security for Society Work Programme",
  "programme": "Horizon Europe",
  "actionType": "RIA",
  "eligible": "needs_review",
  "organizationEligibility": [
    { "requirement": "organization_type", "status": "needs_review", "providedType": "SME" },
    { "requirement": "organization_country", "status": "eligible" },
    { "requirement": "technology_readiness_level", "status": "eligible", "required": "6-8", "provided": 7 }
  ],
  "consortiumRequirements": ["Participants from at least 2 countries."],
  "trlRange": "6-8",
  "callBudgetEur": null,
  "projectBudgetEur": 8000000,
  "deadlines": ["15 September 2026", "15 September 2027"],
  "matchingSectors": ["civil security", "software", "cybersecurity"],
  "fitScore": 100,
  "evidence": [
    {
      "field": "projectBudgetEur",
      "page": 15,
      "text": "Overall indicative budget 131.00 ... contribution per project"
    }
  ],
  "confidence": 0.99,
  "callUrl": "https://ec.europa.eu/info/funding-tenders/opportunities/docs/2021-2027/horizon/wp-call/2026-2027/wp-6-civil-security-for-society_horizon-2026-2027_en.pdf"
}

The complete item includes the eligible-country set, work areas, expected outcomes, consortium gaps, and all evidence passages. needs_review is intentional where the call or company profile does not provide enough information for a final legal eligibility decision.

npm install
npm run check
npm run validate-schema
apify run