Sportlogiq

Sportlogiq is a Montreal, Quebec-based sports analytics company that applies patented computer vision and machine learning to broadcast video to generate high-resolution player tracking, event, and performance datasets across ice hockey, soccer/global football, American football, and youth sports. Founded in 2015 by Olympic figure skater Craig Buntin and computer-vision PhD Mehrsan Javan, the company is led by CEO Mitchell Wasserman and employs roughly 75 people, including a research team of ~13 AI scientists with 180+ patents and publications. Sportlogiq describes itself as the global leader in hockey analytics, with adoption across the majority of NHL franchises, 150+ professional and amateur hockey clubs worldwide, international hockey federations and leagues (SHL, PWHL, IIHF), NCAA hockey programs, NFL franchises, and global football organizations — collectively serving 220+ clients. In November 2024 Sportlogiq acquired 8BY8, a sports video infrastructure platform that combines multi-angle video, data streams, and audio for officiating, coaching, and player health workflows. In January 2026 Sportlogiq was itself acquired by Teamworks, where it continues to operate as the AI analytics layer of Teamworks' broader operating system for sport. Sportlogiq exposes its tracking and event data to teams, leagues, broadcasters, and analytics partners through a private partner API and bulk data feeds; there is no public developer portal, no self-service signup, no published OpenAPI specification, and no public SDKs or open-source repositories. Access is sold as part of commercial contracts and integrated directly into partner workflows.

Sportlogiq is profiled on the APIs.io network. Tagged areas include Sports, Sports Analytics, Computer Vision, Machine Learning, and Artificial Intelligence.

Sportlogiq’s developer surface includes GitHub presence, engineering blog, and 18 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

4.5/100 minimal ▬ flat Agent 0/100 human only Heartbeat 0/100 dormant Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs

Sports Sports Analytics Computer Vision Machine Learning Artificial IntelligencePlayer TrackingEvent Data Hockey Ice Hockey NHL Soccer Football NFL Youth Sports Broadcast Video AnalyticsOfficiatingPerformance Analysis

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 4.5/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 0.4 / 17

Access Clarity 0.0 / 17

Operational Transparency 0.6 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 0.8 / 15

Agent readiness — 0/100 · 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 0 / 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
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
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)
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)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes

13 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
Access Clarity scores 0.0 — up to +20.0 composite points
Developer Ergonomics scores 2.4 — up to +19.5 composite points

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.

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/sportlogiq/apis.yml: open an issue on github.com/api-evangelist/sportlogiq 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 →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Football Technology and Sports Data (FIFA Quality Programme)	standard	18.3 (thin)	-	-
ONVIF Video Analytics (video surveillance, edge cameras, computer vision)	standard	18.3 (thin)	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Security Posture 1

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

Sportlogiq Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Build 1

SDKs, sample code, and the tooling you integrate with

GitHub

GitHub

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Contact

Contact

Company 7

The organization behind the API

Website

About

NewsAndViews

Careers

LinkedIn

Twitter

Twitter

Blog

Blog

Scroll for all 7

Other 10

Properties that don't map to a standard resource type

ParentCompany

Technology

Hockey

Soccer

Football

YouthSports

Media

8BY8

Parent

Acquisition

Scroll for all 10

Source (apis.yml)

aid: sportlogiq
name: Sportlogiq
description: Sportlogiq is a Montreal, Quebec-based sports analytics company that applies patented computer vision and machine
  learning to broadcast video to generate high-resolution player tracking, event, and performance datasets across ice hockey,
  soccer/global football, American football, and youth sports. Founded in 2015 by Olympic figure skater Craig Buntin and computer-vision
  PhD Mehrsan Javan, the company is led by CEO Mitchell Wasserman and employs roughly 75 people, including a research team
  of ~13 AI scientists with 180+ patents and publications. Sportlogiq describes itself as the global leader in hockey analytics,
  with adoption across the majority of NHL franchises, 150+ professional and amateur hockey clubs worldwide, international
  hockey federations and leagues (SHL, PWHL, IIHF), NCAA hockey programs, NFL franchises, and global football organizations
  — collectively serving 220+ clients. In November 2024 Sportlogiq acquired 8BY8, a sports video infrastructure platform that
  combines multi-angle video, data streams, and audio for officiating, coaching, and player health workflows. In January 2026
  Sportlogiq was itself acquired by Teamworks, where it continues to operate as the AI analytics layer of Teamworks' broader
  operating system for sport. Sportlogiq exposes its tracking and event data to teams, leagues, broadcasters, and analytics
  partners through a private partner API and bulk data feeds; there is no public developer portal, no self-service signup,
  no published OpenAPI specification, and no public SDKs or open-source repositories. Access is sold as part of commercial
  contracts and integrated directly into partner workflows.
type: Index
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - none
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-11-06'
  method: derived
position: Producing
access: 3rd-Party
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/sportlogiq.png
tags:
- Sports
- Sports Analytics
- Computer Vision
- Machine Learning
- Artificial Intelligence
- Player Tracking
- Event Data
- Hockey
- Ice Hockey
- NHL
- Soccer
- Football
- NFL
- Youth Sports
- Broadcast
- Video Analytics
- Officiating
- Performance Analysis
tags_raw:
- Sports
- Sports Analytics
- Computer Vision
- Machine Learning
- Artificial Intelligence
- Player Tracking
- Event Data
- Hockey
- Ice Hockey
- NHL
- Soccer
- Football
- NFL
- Youth Sports
- Broadcast
- Video Analytics
- Officiating
- Performance Analysis
- Computer-Vision
- Machine-Learning
url: https://raw.githubusercontent.com/api-evangelist/sportlogiq/refs/heads/main/apis.yml
created: '2026-05-25'
modified: '2026-05-25'
specificationVersion: '0.23'
apis: []
common:
- type: ParentCompany
  url: https://apis.io/providers/teamworks/
  name: Teamworks
  x-relationship: acquired
  x-evidence: In January 2026 Sportlogiq was itself acquired by Teamworks, where it continues to operate as the AI analytics
    layer of Teamworks' broader operating system for sport.
- type: DomainSecurity
  url: security/sportlogiq-domain-security.yml
- type: Website
  url: https://www.sportlogiq.com
- type: About
  url: https://www.sportlogiq.com/about-us/
- type: Technology
  url: https://www.sportlogiq.com/technology/
- type: Hockey
  url: https://www.sportlogiq.com/hockey/
- type: Soccer
  url: https://www.sportlogiq.com/soccer/
- type: Football
  url: https://www.sportlogiq.com/football/
- type: YouthSports
  url: https://www.sportlogiq.com/youth-sports/
- type: Media
  url: https://www.sportlogiq.com/media/
- type: NewsAndViews
  url: https://www.sportlogiq.com/news-views/
- type: Careers
  url: https://www.sportlogiq.com/careers/
- type: Contact
  url: https://www.sportlogiq.com/contact/
- type: 8BY8
  url: https://www.8by8.io/
- type: Parent
  url: https://teamworks.com
- type: Acquisition
  url: https://teamworks.com/blog/teamworks-acquires-sportlogiq/
- type: GitHub
  url: https://github.com/Sportlogiq
- type: LinkedIn
  url: https://www.linkedin.com/company/sportlogiq
- type: Twitter
  url: https://twitter.com/sportlogiq
- url: https://www.sportlogiq.com/feed/
  type: Blog
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

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