# 9 Free Endpoints I Built Into a Financial Data API — With Curl/Python Examples > Source: > Published: 2026-09-12 13:54:06+00:00 9 Free Endpoints I Built Into a Financial Data API — With Curl/Python Examples I've been building XFINLAB, a financial intelligence API — market events, sentiment, technical analysis, macro data — with an MCP server for AI agents on top. Along the way I also built a handful of free, no-key tools directly into the site. Sharing the actual working requests here, labeled honestly by which ones you should actually build on vs which are just free site plumbing: 🔑 Official Intelligence API — versioned, X-API-Key auth, documented, part of the paid product. Safe to build a production integration on. 🌐 Free website tool, no key — powers a public page on xfinlab.com directly. No auth, no versioning guarantee, no SLA. Fine for personal scripts, quick lookups, or prototyping — not recommended for anything you depend on staying stable, since it can change without notice the same way any other part of a website's frontend can. Free web tool: bash curl "[https://api.xfinlab.com/api/chart-search/AAPL?period=6mo&interval=1d](https://api.xfinlab.com/api/chart-search/AAPL?period=6mo&interval=1d)" Official API (X-API-Key, recommended for real use): bash curl "[https://api.xfinlab.com/api/intelligence/v1/technical/AAPL](https://api.xfinlab.com/api/intelligence/v1/technical/AAPL)" \ -H "X-API-Key: YOUR_KEY" python import requests r = requests.get( "[https://api.xfinlab.com/api/intelligence/v1/technical/AAPL](https://api.xfinlab.com/api/intelligence/v1/technical/AAPL)", headers={"X-API-Key": "YOUR_KEY"}, ) data = r.json()["data"] print(data["confluence"]["direction"], data["confluence"]["confidence_pct"]) print(data["support"], data["resistance"]) Response includes confluence (direction/confidence/bullish & bearish signal list), trend, support/resistance, decision_levels, and market_structure — all computed from real OHLC history, never AI-guessed. The official API version omits raw OHLC bars (licensing); the free web version includes them. bash curl -X POST "[https://api.xfinlab.com/api/stress-lab](https://api.xfinlab.com/api/stress-lab)" \ -H "Content-Type: application/json" \ -d '{"symbol": "Stocks/Bonds 60/40", "amount": 100000, "horizon_days": 252}' Official API: python import requests r = requests.post( "[https://api.xfinlab.com/api/intelligence/v1/stress-test](https://api.xfinlab.com/api/intelligence/v1/stress-test)", headers={"X-API-Key": "YOUR_KEY"}, json={"symbol": "AAPL", "amount": 100000, "horizon_days": 252}, ) d = r.json()["data"] print(f"Median outcome: ${d['ending_value_p50']:,.0f}") print(f"5th percentile (bad case): ${d['ending_value_p5']:,.0f}") print(f"Median max drawdown: {d['max_drawdown_p50_pct']}%") This runs a real bootstrap Monte Carlo over actual historical returns (n_real_observations tells you exactly how much real history backed the simulation) — not a fabricated volatility assumption. Returns today's top confluence-ranked signals across stocks/futures/crypto: {date, signals:[{ticker, label, price, confluence_direction, confluence_confidence_pct, ...}], locked_count, plan}. locked_count tells you how many additional rows exist behind a login — this endpoint intentionally rations rows for non-logged-in callers, so don't build anything that assumes a fixed row count. bash curl "[https://api.xfinlab.com/api/free-tools-demo/opportunity-radar](https://api.xfinlab.com/api/free-tools-demo/opportunity-radar)" bash curl "[https://api.xfinlab.com/api/intelligence/v1/opportunity-radar](https://api.xfinlab.com/api/intelligence/v1/opportunity-radar)" \ -H "X-API-Key: YOUR_KEY" Both return the same shape: real % change per indicator across real_estate, supply_chain, consumer_demand, energy, agriculture — each indicator reports its own trailing change against itself, never a fabricated cross-industry composite score (see methodology_note in the response for the exact math). Returns AI-written commentary (conclusion, analysis) grounded in the filter criteria you pass — this is a free-text research aid, not a structured list-of-tickers-with-scores endpoint. If you need a structured, code-friendly screen, this isn't it yet (flagging as a real gap, not glossing over it). Returns z_score, correlation, divergence, and which side of the pair is richer_symbol/cheaper_symbol — a correlation + z-score divergence read on the real historical spread, explicitly not a formal cointegration test (the page says so, and so does the API). Combines real market data, technicals, and news sentiment into bullish_probability/bearish_probability. The page itself carries a disclaimer that the underlying scoring formulas aren't yet backtested — treat this as a reference number, not a calibrated probability, same as the site does. Returns an AI-generated summary (analysis, conclusion) that filters sensationalized language out of recent headlines for a ticker or topic — this is generated live per-request, not pulled from a structured news database, so wording will vary call to call even for the same topic. Without a login token this returns a default basket; with a site-login token query param it personalizes to that user's actual watchlist. Returns suggested allocation weights per ticker based on each ticker's real market score — not equal-weighted, not user-set. Which one should you actually build on? If you're evaluating XFINLAB as a data provider for something you'll maintain long-term, start with the 3 🔑 endpoints — those are the ones with a documented contract and a reason to expect they won't move under you. The 6 🌐 endpoints are genuinely useful for quick scripts and one-off research, and I'm not hiding them, but they're free-tier site plumbing, not a product commitment. Free API key (no card, instant): [https://www.xfinlab.com/intelligence-api.html](https://www.xfinlab.com/intelligence-api.html) Repo (SDKs + MCP server source): [https://github.com/lnanology/Xfinlab](https://github.com/lnanology/Xfinlab) Curious what other free-tier financial APIs people here have built — what's your split between "documented product" vs "free site tooling"?