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FPDS AI Integration

FPDS AI agents run on Bonfire Terminal, a local-first desktop app for working with federal procurement data. Ask on-device agents from Slack or Telegram to interpret contract awards and vendor histories, keeping your research and analysis private on your own machine.

Automate FPDS locallyGOVERNMENT PROCUREMENT DATA · PUBLIC API ✓
Block 1 · Capabilities

What Bonfire can do in FPDS

Real actions from the FPDS API that a Bonfire agent can run on your behalf, on-device.

ActionResourceMethod · Endpoint
Search award recordsContractsGET /ezsearch/FEEDS/ATOM?FEEDNAME=PUBLIC

SOURCE: https://www.fpds.gov/fpdsng_cms/index.php/en/worksite.html · spec-backed — no capability shown without a real endpoint.

Block 2 · Automation recipes

FPDS agents in action

Telegram: a chat command → Bonfire → FPDS → Search award records and replies with the result.
Slack: ask a question → Bonfire → FPDS → pull a summary posted back to the channel.
Scheduled: nightly → an agent checks FPDS and flags anything that needs your attention.
Telegram / SlackBonfire (local)AI agentFPDS
Block 3 · Local-first vs cloud

On your machine, not a SaaS

Bonfire Terminal

  • Your keys & data stay on your device
  • Perpetual license — no per-seat SaaS fee
  • Any connected model — Claude, GPT, Gemini or Grok
  • Offline Llama for local, private reasoning
  • Driven from chat you already use

Cloud AI middleman

  • Keys & data pass through a third-party server
  • Recurring subscription, usage caps
  • Model locked to the vendor
  • Yet another dashboard to log into
Block 4 · FAQ

FPDS — questions

Can Bonfire automate FPDS?

Yes. Bonfire runs on your machine, holds your FPDS credentials locally, and a connected model (Claude, GPT, Gemini or Grok) drives the FPDS API to run the actions you ask for in chat.

Does my FPDS data go to the cloud?

Bonfire runs on your desktop and keeps your keys local — it isn't a SaaS holding your data. Only the specific request you approve is sent to your chosen AI model.

Which AI models can I use?

Any connected model — Claude, GPT, Gemini or Grok. A fully offline Llama model runs locally for private reasoning but can't reach live APIs.

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