# Fairline

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

Fairline provides independent sports betting analytics models for MLB, NHL, EPL, and NFL. Their models price each game against the book without using live book prices, offering fair odds and closing line value insights. The company aims to deliver transparent, data‑driven betting analytics for professional and recreational bettors.

## Kin Score — 23.0 / 100 (emerging)

Scored 2026-11-13 under rubric 0.28.0.

| Facet | Score |
|---|---|
| Discoverability | 57.1 |
| Contract Quality | 0.0 |
| Contract Governance | 4.5 |
| Operational Transparency | 9.5 |
| Developer Ergonomics | 27.9 |
| Access Clarity | 42.6 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 24.5 (matched via fallback).

## Agent readiness — 3.2 (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 | unknown |
| 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

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

## APIs (1)

- **Fairline API** — MLB, NHL, EPL, and NFL projection model API

## Security (2)

- **Fairline Domain Security** — TLSv1.3 · HSTS · DMARC
- **Fairline Vulnerability Disclosure** — security.txt · contact published

## Plans (1)

- **Fairline Plans Pricing**

## Tags

Sports Betting, Analytics, MLB, NHL, EPL, NFL

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