I built this because tracking AI regulation by hand stopped being possible. The EU's Digital Omnibus just reshuffled the AI Act, and it's easy to confuse the headline with what's actually in force — e.g. the Article 50 transparency duties still land on 2 August 2026 even after the reshuffle.
What it is: one API covering AI law across 50 US states + DC + federal + EU + other jurisdictions, refreshed daily. Each record carries provenance and an official source URL. The interpreted layer (obligations, penalties, effective dates) is human-audited and sourced — not LLM-generated — because a hallucinated compliance deadline is worse than no answer.
There's also an MCP connector (24 tools) so you can query laws, obligations, penalties and deadlines directly inside Claude, ChatGPT or your own agent.
You can try it without a card: grab a free API key at ai-law-tracker.com/developers#get-key, or see the live Omnibus breakdown at ai-law-tracker.com/omnibus.
Two things I'd genuinely like feedback on:
1. The accuracy model — every record is checkable via a public accuracy ledger, and there's a bug bounty for wrong data. Does that go far enough to trust it under your product?
2. The MCP tool design — are 24 tools too granular, or is that the right shape for an agent to reason over regulation?
Happy to answer anything about the data pipeline or how records are verified.
What it is: one API covering AI law across 50 US states + DC + federal + EU + other jurisdictions, refreshed daily. Each record carries provenance and an official source URL. The interpreted layer (obligations, penalties, effective dates) is human-audited and sourced — not LLM-generated — because a hallucinated compliance deadline is worse than no answer.
There's also an MCP connector (24 tools) so you can query laws, obligations, penalties and deadlines directly inside Claude, ChatGPT or your own agent.
You can try it without a card: grab a free API key at ai-law-tracker.com/developers#get-key, or see the live Omnibus breakdown at ai-law-tracker.com/omnibus.
Two things I'd genuinely like feedback on: 1. The accuracy model — every record is checkable via a public accuracy ledger, and there's a bug bounty for wrong data. Does that go far enough to trust it under your product? 2. The MCP tool design — are 24 tools too granular, or is that the right shape for an agent to reason over regulation?
Happy to answer anything about the data pipeline or how records are verified.