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`outlit_get_timeline`\n- `outlit_list_facts`\n- `outlit_get_fact`\n- `outlit_get_source`\n- `outlit_list_sources`\n- `outlit_search_customer_context`\n\nSQL and the other Pi-supported Platform capabilities are available from `@outlit/tools`, but the default Pi policy intentionally stays focused on customer intelligence. A custom Pi extension can opt into every Pi-supported tool with `piToolNames`, including customer relationship and Attention reads, customer ownership and access actions, product-facing Feature list, create, archive, and customer-usage tools, plus safe integration setup, destination, activation, workspace-settings actions, and `outlit_submit_feedback` product feedback intake. The default and analytical policies remain unchanged.\n\nFor analytical agents that need cohorts, usage trends, revenue filters, activation gaps, or aggregate checks, import `analyticalToolNames`. It combines the default customer intelligence tools with `outlit_schema` and `outlit_query` without exposing every customer tool:\n\n```ts\nimport { analyticalToolNames, createOutlitPiExtension } from \"@outlit/pi\"\n\nexport default createOutlitPiExtension({\n  toolNames: analyticalToolNames,\n})\n```\n\n## Skill\n\nThis package also ships an `outlit` Pi skill. Pi loads the skill when you install `@outlit/pi` as a Pi package:\n\n```bash\npi install npm:@outlit/pi\n```\n\nThe skill gives the model generic guidance for choosing between customer records, users, timelines, facts, search, sources, and SQL when SQL tools are enabled. It does not add CLI or MCP instructions; it assumes the Outlit tools registered by this package are the available interface.\n\nThe facts tool supports `factTypes` filters for narrowing structured evidence. Public filters include customer-memory facts and relationship transitions such as `CONTACT_DEPARTURE`, `CONTACT_POSITION_CHANGE`, and `CONTACT_DISENGAGEMENT`. Anomaly detector fact types are not supported as public filters because customers may not have configured core actions, activation paths, or funnels.\n\n## Custom Toolsets\n\nCreate a small Pi extension when you want a narrower or broader toolset:\n\n```ts\nimport { createOutlitPiExtension, piToolNames } from \"@outlit/pi\"\n\nexport default createOutlitPiExtension({\n  toolNames: piToolNames,\n})\n```\n\nYou can also pass `apiKey`, `baseUrl`, and `fetch` directly to `createOutlitPiExtension` for embedded or test environments.\n\nSee [`examples/pi-agents`](../../examples/pi-agents) for complete customer-signal Pi agents built on this package, including usage-decay churn, friction-to-churn, activation-failure, and expansion-readiness examples.\n\n## Canonical Docs\n\n- Pi agents: <https://docs.outlit.ai/ai-integrations/pi>\n- Tool gateway API docs: <https://docs.outlit.ai/api-reference/tools>\n- Agent skills: <https://docs.outlit.ai/ai-integrations/skills>\n- MCP integration for remote MCP clients: <https://docs.outlit.ai/ai-integrations/mcp>\n- Agent-facing docs index: <https://docs.outlit.ai/llms.txt>\n","readmeFilename":"README.md"}