> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.milliseconds.ai/capabilities/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.milliseconds.ai/_mcp/server.

# Capabilities

## Docs

- [All capabilities](https://docs.milliseconds.ai/capabilities/overview.md): Eight typed decisions over text, the question each one answers, and how fast it returns.
- [Yes / no](https://docs.milliseconds.ai/capabilities/yes-no.md): Score one statement, or up to 32 statements, against a text and get a boolean with a probability.
- [Classify](https://docs.milliseconds.ai/capabilities/classify.md): Pick one label from a list, with a probability for every label.
- [Classify tree](https://docs.milliseconds.ai/capabilities/classify-tree.md): Walk a nested label tree in one call and get the path, the compound numbers, and every level.
- [Rate](https://docs.milliseconds.ai/capabilities/rate.md): Place text on an ordered scale and get a weighted score, a level and a confidence.
- [Answer](https://docs.milliseconds.ai/capabilities/answer.md): Ask a question and get back the span of the text that answers it, with character offsets.
- [Extract](https://docs.milliseconds.ai/capabilities/extract.md): Send a JSON Schema and get a typed object back, with null for every field the text does not carry.
- [Entities](https://docs.milliseconds.ai/capabilities/entities.md): Find every span of every type you name, with character offsets you can slice.
- [Verify](https://docs.milliseconds.ai/capabilities/verify.md): Check a value you already hold against the text, and see what the text actually says.
- [Batching](https://docs.milliseconds.ai/capabilities/batching.md): Send up to 32 texts, statements or questions in one call and read the results back in input order.