Ground your RAG app or AI agent in real AI law

The problem

• LLM training data on AI law is stale and can’t cite a statute URL.
• You want each answer grounded in a verifiable primary source, not a hallucination.
• Your vector index drifts out of date the moment a bill moves.

How AI Law Tracker helps

• Bulk-load the corpus via paginated /v1/laws, each record carrying an official_url to the primary .gov source for grounded citations.
• Hand your agent the OpenAPI 3.1 spec at /v1/openapi.json so it can tool-call the API directly (search, filter, look up a record).
• Poll /v1/changes on a cursor to re-embed only what changed — your index stays fresh without a full rebuild.

curl "https://ai-law-tracker.com/api/v1/laws?limit=100&offset=0&sort=updated_at&order=desc" \
  -H "X-API-Key: alt_developer_…"

{
  "api_version": "v1",
  "data": [
    {
      "id": "5f9c2b0a-1e34-4d21-9a77-0c1b2d3e4f56",
      "scope": "state",
      "jurisdiction": { "slug": "colorado", "name": "Colorado", "abbr": "CO" },
      "identifier": "SB 24-205",
      "title": "Consumer Protections for Artificial Intelligence",
      "summary": "Requires developers and deployers of high-risk AI systems to use reasonable care to avoid algorithmic discrimination…",
      "official_url": "https://leg.colorado.gov/bills/sb24-205",
      "updated_at": "2026-07-05T14:02:11Z",
      "attribution": "Data by AI Law Tracker (CC BY 4.0) — https://ai-law-tracker.com"
    }
  ],
  "meta": { "total": 564, "count": 100, "limit": 100, "offset": 0 }
}