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RFP & Tender Fit Monitor — Bid/No-Bid Scoring & Alerts icon

TED EU IT Tender Alerts with Bid Fit Scoring

New EU IT and cybersecurity tenders on TED, filtered by CPV 72000000 and scored against your firm so you see which are worth bidding.

Run this use case nowRun on Apify →

How it works

  1. 1
    Open it on Apify

    Hit Run on Apify — it opens the tool in the cloud, no install.

  2. 2
    Set the inputs

    Adjust sources, keywords, cpvCodes (sensible defaults are pre-filled).

  3. 3
    Click Run

    The tool runs on Apify’s cloud and collects the data for you.

  4. 4
    Export the results

    Download as JSON, CSV or Excel, or pipe straight into your app, Google Sheets, or an AI agent.

Inputs

FieldWhat it doesType
sourcesWhich official procurement feeds to check. Valid values: TED (EU), UK_FTS (UK Find a Tender), SAM_GOV (US). TED and UK_FTS are keyless; SAM_GOV needs a free SAM.gov API key in 'samApiKey' — if omitted, that source is skipped with a clear message. Unknown values are ignored.array
keywordsFree-text terms describing the work you do (matched against notice title/description). Used to filter TED/UK and to inform fit scoring.array
cpvCodesCommon Procurement Vocabulary codes to match (e.g. 72000000 = IT services). Filters TED server-side and UK client-side. Leave empty to rely on keywords.array
naicsCodesNorth American Industry Classification codes for SAM.gov (e.g. 541512 = Computer Systems Design). One query per code (max 3 used) to respect SAM.gov rate limits.array
vendorProfileYour firm's profile — this is what each tender is scored AGAINST. capabilities/certifications are arrays of strings; eligibleRegions is country codes (e.g. GB, US, PL) or empty for no region restriction; min/maxContractValue are numbers or null; smallBusiness is true/false.object
generateFitScoreRun the bid/no-bid fit engine on each new tender. This is the product — leave on.boolean
useLlmIf on AND an Anthropic API key is configured (ANTHROPIC_API_KEY env var), enrich fit scoring with an LLM for messier notice text. Off = fast, free, deterministic rules engine. Only NEW/CHANGED tenders are ever scored.boolean
llmModelCheapest capable model is the default. Only NEW tenders are scored, so cost stays well under the per-score charge.string
onlyNewSinceLastRunEmit only tenders that are new or changed versus the previous scheduled run (deltas, not dumps). Turn off to re-emit the full current window every run.boolean
lookbackDaysHow far back to fetch each run. The state store dedupes, so a generous window safely catches late-indexed notices.integer
maxResultsPerSourceCap on notices fetched per source per run. Set this comfortably above the number of notices your keyword/CPV filter typically yields in the look-back window, so the full window is captured each run. A cap far below the window's volume can surface a different subset run-to-run (TED has no stable tiebreaker among same-day notices) — fine for niche filters, but raise it for very broad ones.integer
weeklyDigestWrite a fit-ranked HTML + Markdown digest to the Key-Value Store (keys DIGEST.html / DIGEST.md) — the artifact a bid team reads.boolean
webhookUrlIf set, POST a compact JSON run summary here when the run finishes (e.g. a webhook.site URL, Slack/Make/Zapier inbound hook).string
samApiKeyFree public API key from a personal SAM.gov account (Account Details -> Public API Key). Required only if SAM_GOV is in 'sources'. Stored as a secret.string
fetchSamDescriptionsSAM.gov descriptions require a second API call each and a personal key allows only ~10 calls/day. Leave OFF unless you have a higher-quota key.boolean
stateStoreNameNamed Key-Value Store that holds the monitor's per-source snapshot across scheduled runs (this is what makes onlyNewSinceLastRun work). Leave as default unless you run several independent monitors and want isolated state.string

What you get

A structured dataset — each result includes fields like:

buyerclassificationcountrydeadlinefitidis_changedis_newpublishedrequirements_textsourcesummarytitleurl

Export every run as JSON, CSV or Excel, or send it to your app, a database, Google Sheets, or an AI agent.

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