# OptionsData.ai

**Canonical:** https://apis.io/providers/optionsdata-ai/  
**Website:** https://optionsdata.ai  
**APIs profiled:** 0

OptionsData.ai provides US options market data for assistants and software, offering real-time quotes, trades, open interest, volume, implied volatility and Greeks. The service delivers data via a REST API and an MCP JSON‑RPC interface. Access requires an invite and API key, and the platform does not execute trades or give investment advice. Documentation and onboarding are available through the readme page, while pricing details are not publicly listed.

## Kin Score — 9.0 / 100 (minimal)

Scored 2026-11-13 under rubric 0.28.0.

| Facet | Score |
|---|---|
| Discoverability | 35.7 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 9.5 |
| Access Clarity | 27.7 |

Regulatory layer — **Securities & Market Data**: 6.9 (matched via tags).

## Agent readiness — 3.6 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | no |
| Protected Resource Metadata | verified |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **OptionsData.ai Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Finance, Market Data, Options, Artificial Intelligence

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/optionsdata-ai/). Scores are computed from the provider's own public artifacts under a published rubric.