# AlphaCreek

**Canonical:** https://apis.io/providers/alphacreek-ai/  
**Website:** https://www.alphacreek.ai/  
**APIs profiled:** 1

AlphaCreek provides a hosted MCP that gives financial AI agents structured, citation‑ready SEC filing data. Covering over 6,000 US tickers, it offers fast retrieval, citation URLs, and seamless integration for Claude, Perplexity, ChatGPT and other models, enabling compliance‑aware AI products without building their own filing pipelines.

## Kin Score — 18.3 / 100 (emerging)

Scored 2026-11-06 under rubric 0.27.0. Trend: falling (-6.2 from 24.5).

| Facet | Score |
|---|---|
| Discoverability | 66.1 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 6.0 |
| Access Clarity | 53.9 |

Regulatory layer — **Securities & Market Data**: 19.0 (matched via tags).

## Agent readiness — 21.8 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| Auth Clarity | served |
| 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 | served |
| Protected Resource Metadata | verified |
| Dynamic Client Registration | yes |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

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

## APIs (1)

- **AlphaCreek MCP** — AlphaCreek MCP provides SEC filing retrieval via a REST API.

## Security (1)

- **Alphacreek Ai Domain Security** — TLSv1.3 · HSTS · DMARC

## Plans (1)

- **Alphacreek Ai Plans Pricing**

## Tags

Finance, Artificial Intelligence, SEC, Data, MCP

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