Startup research requires checking multiple data sources manually — Crunchbase, CB Insights, PitchBook, web search. Each query takes minutes and results are inconsistent.
Built an MCP-based intelligence tool that queries 4 sources in parallel. Results are merged, deduplicated, and cross-validated. Each data point gets a confidence score based on source agreement.
Entity resolution — 'Stripe Inc' and 'Stripe, Inc.' from different sources needed fuzzy matching + LLM verification
Parallel API calls with different rate limits and response formats
Confidence scoring algorithm that weights source reliability differently
Sub-5-second latency requirement despite 4 concurrent network calls