Trading and investing

Prediction Market Data

Kalshi exchange mechanics — RSA-PSS auth, order schema, YES/NO orderbook convention, WebSocket, and endpoint surface. Market-type-agnostic shared layer for all Kalshi skills. Trading analysis or dry-run only; live data and broker access require separately available host tools.

Works with the context you provideVersion 1.0.0

Prediction Market Data

First read and apply `references/chiefos-runtime.md`. Choose the source method below that matches the requested outcome and available evidence; do not execute every alternate provider path.

agiprolabs: kalshi-api

Load `references/agiprolabs/kalshi-api/SKILL.md` for the complete method, required inputs, ordered decisions, and output contract. Resolve its local resources beneath the same directory.

agiprolabs: polymarket-api

Load `references/agiprolabs/polymarket-api/SKILL.md` for the complete method, required inputs, ordered decisions, and output contract. Resolve its local resources beneath the same directory.

Alternate source routing

Additional methods: polymarket-api. Use the applicable source for its provider and output, retaining the same canonical ChiefOS identity. For a source-specific request, load that source method before answering.

For upstream sibling names, resolve the canonical skill and source entrypoint with `references/source-routing.json`. Load sibling resources from that canonical skill; do not assume the original directory name is independently installed.