5 new public-data tools for AI agents: SBIR topics, SEC comps, clinical trials, page diffs and a free prompt-injection scanner

Disclosure: I build these tools, and I used AI to help write them and this post.

Five more Panda Federation tools went public on the Apify Store tonight, and they're now in the open-source MCP server too (v1.3.0, 23 tools). Each one reads an official or open source, charges per result (one is free), and returns JSON with a one-line agentSummary per row plus Excel/CSV.

Searches that find nothing aren't charged per result.

uvx panda-federation-tools Enter fullscreen mode Exit fullscreen mode Add that as a stdio MCP server with your APIFY_TOKEN (setup for Claude, Cursor and VS Code is in the README ). Then ask things like:

Every call is schema-checked before it runs and has a hard spending cap ( run_max_charge_usd, default $0.50).

from apify_client import ApifyClient client = ApifyClient ( " YOUR_APIFY_TOKEN " ) run = client. actor ( " pandadad0214/sbir-sttr-topic-radar " ). call ( run_input = { " keywords ": " autonomous ", " maxResults ": 10 } ) for topic in client. dataset ( run [ " defaultDatasetId " ]). iterate_items (): print ( topic [ " agentSummary " ]) Enter fullscreen mode Exit fullscreen mode The SEC tool needs a contactEmail, because SEC's fair-access rules ask every client to identify itself. It's only sent to SEC.

Four more (IRS nonprofit lists, Federal Register monitor, FDA/CPSC recalls and a bulk VIN decoder) are built and go public over the next day or two. Repo: pandadad0214/panda-federation-tools.