io.github.lnanology/xfinlab · v1.0.1 · search-and-web
io.github.lnanology/xfinlab is healthy: it completed an MCP handshake in 2836 ms and exposes 6 tools.
Financial intelligence for AI agents: market events, sentiment, technicals, news feed.
Endpoint: https://api.xfinlab.com/api/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 6 |
| Latency | 2836 ms |
| Last checked (UTC) | 2026-10-15T04:50:42.997Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-15T04:50:42.997Z | Healthy | 2836 |
get_market_events | Get recent market/company news headlines from XFINLAB's aggregated real-time news feed (RSS-sourced, deduplicated). Optionally filter by ticker/company name. Returns title, source, kind, published_at, url for each item -- no article body text. |
get_sentiment | Get FinBERT-based sentiment analysis of recent headlines for a ticker. Returns per-headline label/confidence/score plus an average score. Real model inference, not a fabricated estimate. |
get_technical_analysis | Get confluence direction/confidence, trend, MACD, volume, chart patterns, and market-structure signals (BOS/CHOCH/liquidity-sweep/order-flow/volume-profile/institutional-footprint) for one ticker, computed from real OHLC price data -- the same engine that powers XFINLAB's chart-analysis and ai-analy |
get_intelligence_feed | Get AI-structured event clusters from recent news: same-story headline clusters with entity/sentiment/quant-context fields and an AI-written narrative summary. Optionally scoped to one ticker; otherwise returns the latest cross-market feed. This is structured fact extraction, not republished article |
get_global_market_map | Get a cross-region global market snapshot ('World Engine'): macro indicators (GDP growth/inflation/unemployment, with source attribution -- world_bank/fred/ecb), filtered regional headlines, and FinBERT sentiment for each requested region, plus a top-level global headlines feed (GDELT). Regions: us, |
get_fundamentals_as_of | Point-in-time company fundamentals (fundamentals_as_of): what an investor could actually have known about a US-listed company on a given date. For a symbol and an as_of date (YYYY-MM-DD) it returns the annual SEC 10-K figures (revenue, net income, diluted EPS, total assets, total liabilities, operat |