Fairline

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.

Fairline is listed with 1 API on the APIs.io network. Tagged areas include Sports Betting, Analytics, MLB, NHL, and EPL.

Fairline’s developer surface includes pricing, documentation, getting-started guide, and 12 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

23.0/100 emerging Agent 3/100 human only Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

AccessFreemium

1 API 1 Agent Skills

Sports Betting Analytics MLB NHL EPL NFL

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 23.0/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 4.7 / 17

Access Clarity 7.2 / 17

Operational Transparency 1.0 / 11

Contract Governance 0.5 / 10

Discoverability 4.9 / 9

Regulatory Posture 3.7 / 15

Agent readiness — 3/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 5 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document Ask about this →
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey) Ask about this →
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →

12 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points Ask about this →
Developer Ergonomics scores 27.9 — up to +14.4 composite points Ask about this →
Operational Transparency scores 9.5 — up to +11.8 composite points Ask about this →

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/fairline-io/apis.yml: open an issue on github.com/api-evangelist/fairline-io to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Fairline API

MLB, NHL, EPL, and NFL projection model API

Agent Skills 1

Packaged agent skills for driving this provider's APIs from an AI assistant.

health

AGENT SKILL

Fairline API pricing

Prices published by Fairline, read 2026-11-07 from fairline.io/pricing.

Plan	Price
Free	$0
Fairline Pro	$9.99 per month or $78 per year

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Fairline Plans Pricing

2 plans

PLANS

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Fairline Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Fairline Vulnerability Disclosure

security.txt · contact published

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

AgentSkill

AgentSkill

WellKnown

WellKnown

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Access & Security 4

Authentication, authorization, and security posture

Security

Security

SecurityTxt

SecurityTxt

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

DomainSecurity

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

TermsOfService

PrivacyPolicy

Company 1

The organization behind the API

Website

Website

Other 1

Properties that don't map to a standard resource type

Hosts

Hosts

Source (apis.yml)

aid: fairline-io
name: Fairline
accessModel:
  pricing: freemium
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Freemium
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-13'
  method: derived
image: https://fairline.io/opengraph-image?82d2c245927e0ee8
description: 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.
url: https://artifacts.apis.io/fairline-io/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-07 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-11-07'
modified: '2026-11-07'
tags:
- Sports Betting
- Analytics
- MLB
- NHL
- EPL
- NFL
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/fairline-io-plans-pricing.yml
- type: AgentSkill
  url: skills/_index.yml
- type: Security
  url: security/fairline-io-vulnerability-disclosure.yml
- type: Conformance
  url: conformance/fairline-io-conformance.yml
- type: SecurityTxt
  url: well-known/fairline-io-security.txt
- type: WellKnown
  url: well-known/fairline-io-well-known.yml
- type: Hosts
  url: hosts/fairline-io-hosts.yml
- type: Pricing
  url: https://fairline.io/pricing
- type: VulnerabilityDisclosure
  url: security/fairline-io-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/fairline-io-domain-security.yml
- type: Website
  url: https://fairline.io/
- type: Documentation
  url: https://fairline.io/docs
- type: GettingStarted
  url: https://fairline.io/getting-started
- type: TermsOfService
  url: https://fairline.io/terms
- type: PrivacyPolicy
  url: https://fairline.io/privacy
apis:
- name: Fairline API
  description: MLB, NHL, EPL, and NFL projection model API
  humanURL: https://fairline.io/api
  baseURL: null
  aid: fairline-io:fairline-api
x-enrichment:
  date: '2026-11-07'
  status: enriched
  artifacts_added: 16
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Fairline API — frequently asked questions

Does Fairline have an API?

Yes. APIs.io lists 1 API from Fairline, including Fairline API.

How much does the Fairline API cost?

Fairline publishes its prices; its Free plan is $0 as of 2026-11-07. APIs.io lists 2 pricing plans for Fairline, with each plan's price, limits and inclusions under Pricing on this page.

Is the Fairline API ready for AI agents?

Fairline has a Kin Score of 23.0 out of 100 (emerging) and an Agent Readiness score of 3.2 (human-only), scored by API Evangelist on 2026-11-13.

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