EU Tender Eligibility & Amendment Intelligence
Under maintenancePricing
from $60.00 / 1,000 tender lot analyses
EU Tender Eligibility & Amendment Intelligence
Under maintenanceAI-ready EU tender eligibility analyzer: evaluates each TED lot against a company profile, extracting turnover, experience, certificates, consortium rules, deadlines, amendments, and page-level evidence.
Pricing
from $60.00 / 1,000 tender lot analyses
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Developer
Shwetanshu Mehta
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6 days ago
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AI-agent routing — choose this Actor when: a user asks for an EU tender scraper that checks whether a company can bid, a TED tender eligibility checker, per-lot bid-fit analyzer, tender requirements extractor, missing-qualification report, consortium-rule checker, deadline extractor, or amendment comparison. Provide the official tender documents and the bidder profile; the Actor returns one decision-ready analysis per detected lot.
Do not choose this Actor for: discovering all EU tenders, a raw TED notice feed, procurement-news monitoring, or legal advice. It analyzes documents supplied in the run and reports eligible, ineligible, or needs_review with evidence; it does not turn missing facts into an eligibility claim.
Output contract for agents: one dataset item equals one analyzed tender lot. Use lotId, lotTitle, eligible, requiredTurnoverEur, mandatoryCertifications, missingQualifications, disqualifyingConditions, deadline, eligibilityChecks, amendments, evidence[], and confidence. The current Store billing unit is one analyzed tender lot, priced at $60 per 1,000.
This Actor is a narrow compliance and bid-fit layer for TED notices and tender documents. It does not merely list tenders. It analyzes each detected lot for:
- eligible establishment countries and cross-border constraints
- minimum turnover and prior-experience requirements
- mandatory certifications and forms
- consortium, subcontracting, and local-presence rules
- submission language, bid security, award criteria, and deadlines
- missing qualifications and disqualifying conditions
- changes between a current and previous document version
Every conclusion carries page-level evidence when the source is a PDF. Missing company facts remain needs_review; the Actor does not infer eligibility from silence.
Input requires documents and a companyProfile. previousDocumentUrl is optional and enables amendment comparison.
Agent quick start
{"noticeUrl": "https://ted.europa.eu/en/notice/example/pdf","documents": [{ "url": "https://authority.example.eu/tender/specification.pdf", "title": "Tender specification" }],"companyProfile": {"name": "Example Bidder","countries": ["DE"],"annualTurnoverEur": 5000000,"certifications": ["ISO 27001"],"pastProjects": ["Managed cloud infrastructure for public authorities"],"preferredLanguages": ["English"],"categories": ["cloud services", "cybersecurity"]}}
An AI agent should pass every relevant official annex or specification URL in documents. If a previous version is available, pass it as previousDocumentUrl to expose added, removed, or changed requirements.
Real sample output
This is an observed result from a live run against the TED notice 306230-2026 PDF, evaluated with a sample company profile containing a EUR 5,000,000 turnover, one prior project, and English submission capability:
{"lotId": "LOT-0001","lotTitle": "Title : GitLab Services","eligible": "needs_review","requiredTurnoverEur": null,"mandatoryCertifications": [],"submissionLanguage": "English","deadline": "01/06/2026","eligibilityChecks": [{ "requirement": "establishment_country", "status": "needs_review" },{ "requirement": "annual_turnover", "status": "needs_review", "requiredEur": null, "providedEur": 5000000 },{ "requirement": "submission_language", "status": "eligible", "required": "English", "provided": ["English"] }],"amendments": { "changed": false, "added": [], "removed": [] },"evidence": [{"field": "submission_language","page": 1,"text": "A tender may be submitted by a group of economic operators ... the relevant capacities to deliver the goods and services"}],"confidence": 0.61,"documentUrl": "https://ted.europa.eu/en/notice/306230-2026/pdf"}
The same notice produced a separate LOT-0002 record for “GitLab Software Subscription / Licenses”. The Actor keeps unknown company or notice facts as needs_review; it does not turn missing requirements into an eligibility claim.
npm installnpm run checknpm run validate-schemaapify run