Person Intelligence Analyzer

Comprehensive multi-platform intelligence analysis combining LinkedIn, Twitter/X, Reddit, GitHub, and web presence data to create actionable intelligence reports with cross-platform personality insights.

v2 Tool Interface

All data fetching uses the unified v2 MCP tools:

• execute(source, category, endpoint, params) - Fetch data. Returns first page + cache_key.
• get_page(cache_key, offset, limit) - Load more items from a previous execute (when next_offset is returned).
• query_cache(cache_key, conditions?, sort_by?, aggregate?, group_by?) - Filter, sort, or aggregate cached data without new API calls.
• export_data(cache_key, format) - Export full dataset as CSV, JSON, or JSONL. Returns download URL.

v2 Error Handling

All execute() calls may return structured errors with llm_hint fields. When an error occurs:

• 412 errors: Resource not found (e.g., user alias incorrect). Follow the llm_hint to resolve (typically: search first, then use the returned alias/URN).
• 422 errors: Wrong parameter format (e.g., passed alias instead of URN). Check llm_hint for the correct format.
• Rate limits: Continue with data from other sources. Note limitations in report.