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Government Tender & RFP AI Qualification Monitor

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Government Tender & RFP AI Qualification Monitor

Government Tender & RFP AI Qualification Monitor

Aggregates government tenders and RFPs from official portals (currently US SAM.gov and EU simulation), applies AI-driven bid/no-bid qualification score, and provides normalized output with real-time webhook notification support. Facilitates efficient bid decision making by procurement professionals.

Pricing

from $50.00 / 1,000 results

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Developer

Taku Anan

Taku Anan

Maintained by Community

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2

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1

Monthly active users

11 days ago

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Aggregates and normalizes government tenders and RFPs from multiple official portals with AI-driven qualification scoring for efficient bid/no-bid decisions.

Features

  • Multi-region tender aggregation (currently US SAM.gov and simulated EU tenders).
  • Keyword and contract value filtering.
  • AI-driven bid/no-bid scoring (stub implementation).
  • Normalized output conforming to a unified schema.
  • Supports real-time webhook notifications.

Usage

Input schema

  • regions: List of country codes or trade blocs (e.g. ["US", "EU"]).
  • keywords: List of keywords or CPV/NAICS codes to filter tenders.
  • contract_value_band: Object with optional min and max contract values.
  • notification_webhook: Optional URL to receive JSON payload of tenders.
  • scrape_frequency: String indicating frequency (e.g. daily, currently informational).

Example input

{
"regions": ["US", "EU"],
"keywords": ["IT services", "infrastructure"],
"contract_value_band": {"min": 50000},
"scrape_frequency": "daily"
}

Output

JSON items pushed to dataset conforming to the standardized tender schema. Also optionally pushed to webhook.

Development

  • Requires Python 3.11.
  • Install dependencies: pip install -r requirements.txt
  • Run locally: python -m src.__main__

Notes

  • AI bid/no-bid scoring is currently a placeholder with stub values.
  • US tender fetching simulates an API call to SAM.gov endpoint; replace with real API if available.
  • EU tenders are simulated for demonstration.
  • Designed for extensibility with additional adapters/plugins.

License

MIT