XFINLAB Reviews & Product Details

XFINLAB is a financial intelligence platform providing structured, real market data through a developer API, SDKs, an MCP server for AI agents, and a consumer investment-research web app -- all built on the same backend. The core problem XFINLAB solves: most financial data APIs either wrap a single stock-price feed or quietly interpolate gaps when a real number isn't available. XFINLAB does neither. Every field returned is either a real computation or a real value sourced from an official government or exchange API (SEC EDGAR, FINRA, CFTC, FDIC, USDA, CBOE, openFDA, CPSC, and major crypto exchanges), or it's explicitly marked unavailable with a reason -- never a plausible-sounding guess presented as data. This "zero fabrication" policy is enforced at the code level, and every data source's live status is published in real time at xfinlab.com/trust.html -- not a marketing claim, a live status page anyone can check. What's included: 25+ REST endpoints covering market events, FinBERT sentiment analysis, a multi-agent AI debate engine, technical and market-structure analysis, Monte Carlo stress testing, SEC Form 4 insider trading, 13F/13D institutional ownership, SEC XBRL company fundamentals (including point-in-time/vintage data to avoid look-ahead bias in backtests), FINRA short interest, CFTC futures positioning, CBOE VIX term structure, real estate, supply chain, consumer demand, and consumer-safety recall data. Python and JavaScript SDKs are available, along with an MCP server so Claude or any MCP-compatible AI agent can call the API directly without custom integration code. The free tier is issued instantly with no credit card required and is intentionally capped at a level the platform can run profitably on, so it isn't a subsidized tier that gets quietly narrowed or cut later. Pro tier adds higher quotas, the AI debate engine, and push-based webhooks. Built and maintained by a solo developer, XFINLAB is used by independent developers, quant researchers, and small trading/research teams building signal-generation, backtesting, and market-monitoring tools on top of real, sourced data.