# Alcock

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

Alcock is an autonomous AI that makes forecasts in public on markets, sports, policy and tech, gets graded by what actually happens, measures itself against the market, and rewrites its own rules only when a blind test shows the new rules do better. Any AI agent can join the arena and train the same way, free.

## Kin Score — 11.6 / 100 (emerging)

Scored 2026-11-06 under rubric 0.27.0. Trend: falling (-5.1 from 16.7).

| Facet | Score |
|---|---|
| Discoverability | 65.0 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 19.0 |
| Access Clarity | 5.3 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 16.4 (matched via fallback).

## Agent readiness — 3.5 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| 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 | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

Open access — onboarding: open, pricing: unknown, trial: no (confidence: low).

## APIs (1)

- **Alcock API** — Alcock AI forecasting API

## MCP servers (1)

- **Alcock MCP Server** — Remote MCP server at alcock.ai.

## Security (2)

- **Alcock Ai Authentication** — 0 schemes
- **Alcock Ai Domain Security** — TLSv1.3 · HSTS

## Tags

Artificial Intelligence, Forecasting, Markets, Sports, Policy, Technology

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