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Our version 2 API is built for AI-native development and LLM agents. This is not a traditional market data feed.
Most financial APIs expose raw quotes, trades, and loosely structured analytics. Trading Volatility exposes derived market structure — deterministic, schema-defined intelligence designed for machine reasoning.
Instead of forcing agents to reverse-engineer meaning from unstructured fields, this API delivers structured financial intelligence ready for reasoning systems.
For v1 docs, see /api/v1/docs
Demo mode is available below, but to use the full API you need to subscribe to a plan and get an API key.
Claude (and other LLM agents) can automatically learn what this API offers (endpoints, parameters, and response schemas). Just provide them with the following link (or copy/paste the spec contents) which contains our agent-readable spec:
Paste your API key. We'll send Authorization: Bearer <key>.
Canonical compact state snapshot from our database.
AI-generated market structure analysis including headline signal, regime classification, expected behavior, key levels, and supporting metrics. Designed for agent-led workflows and trading dashboards.
State + deterministic interpretation scaffold.
Downsampled daily series (latest per day). Combine multiple metrics via comma-separated keys.
metrics input.
Net GEX strike curve with call/put contributions. Best for finding key strikes (peaks/valleys), call-vs-put dominance, and mapping GEX zones around price.
Gamma strike curve (net gamma per strike). Supports per-expiration data pulls during market hours.
Strike-aligned gamma decomposition by expiration bucket. Each strike includes
nearest, first_weekly, first_monthly,
and all_other_expiries, which together reconcile to
combined.
Levels in JSON or plain text (TradingView/TOS).
Real-time-ish options volume aggregated by strike for a specific expiration (exp required).
Note: requires exp and uses extra per-endpoint rate limiting.