# AskScores

**Canonical:** https://apis.io/providers/askscores-com/  
**Website:** https://www.askscores.com/  
**APIs profiled:** 0

AskScores provides AI-powered answers to sports statistics queries across NBA, WNBA, NFL, MLB, NHL, and college football. Users can ask natural language questions like player stats, game results, or historical records, and receive data-backed responses. The platform offers a free Model Context Protocol (MCP) server for integration with AI assistants, enabling real-time sports data retrieval without authentication.

## Kin Score — 5.5 / 100 (minimal)

Scored 2026-11-02 under rubric 0.26.0.

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 9.5 |
| Access Clarity | 0.0 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 5.5 (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

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

## MCP servers (1)

- **AskScores MCP Server** — Remote MCP server at www.askscores.com.

## Security (1)

- **Askscores Com Domain Security** — TLSv1.3 · HSTS

## Tags

Sports, Statistics, Artificial Intelligence, Free, Sports Data

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