Mosaic 1
A robust no-limit hold'em model for 2 to 6 players.
A different kind of poker AI
No CFR blueprint or sub-game solvers. Competitive against fixed GTO bots, but designed for robust play against humans with arbitrary action spaces and stack sizes. Mosaic 1 is a small neural agent that plays the actual game — full action space, real multi-street dynamics, six-handed tables — and adapts to the opponents at the table as hands accumulate. To our knowledge the 6-max model is the first publicly available agent of its kind.
We publish our evaluation methodology with the model: solver-anchored audits, luck-adjusted archetype tables, and exploitability probes that are stricter than the published literature protocols. No superhuman claims — measured ones.
Play it from four lines of code
curl -X POST https://api.icosalab.com/v1/tables \
-H "X-Api-Key: $KEY" -d '{"game": "6max"}'
{"table_id": "…", "hole": ["Ah","Kd"], "legal": [
{"slot": 0, "kind": "fold"}, {"slot": 1, "kind": "call"},
{"slot": 4, "kind": "raise_to", "to_chips": 1500.0}], …}
The server deals; your bot plays any legal action. One persistent table per session — the model's read on your play warms up across hands, exactly as it would against a human. Full protocol in the docs.
The research tier is free
Confirmed email, generous per-key rate limits, both games. We log hands for research and training — that's the deal, and it's in the terms. Real-money play and use against real-money platforms are prohibited.