Preciser

Preciser is an AI and computer-vision sports analytics platform that automatically converts basketball and baseball game footage into statistics, trends, and player insights, removing the traditionally manual work of video tagging. Its three-part product covers Capture (InstaStats converts video to stats), Analyze (a Data Management System that generates statistics and insights), and Monetize (APIs that expose live stats feeds and widgets). The Preciser API advertises game chart-data and opponent-team-data endpoints under https://plg-api.preciser.io/v1. The company reports roughly 85% average accuracy, a two-hour average turnaround per game, and 10x faster analysis than manual tagging. Preciser is backed by 500 Global and the NVIDIA Inception Program.

Preciser publishes 2 API contracts indexed on the APIs.io network: Chart Data API and Opp Team Data API. Tagged areas include Company, Sports, Sports Analytics, Computer Vision, and Artificial Intelligence.

The Preciser catalog on APIs.io includes 1 Spectral governance ruleset.

Preciser’s developer surface includes API reference, engineering blog, signup flow, support, and 14 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

19.9/100 emerging ▬ flat Agent 15/100 agent aware Front door AI 4/6 moderate saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 published contract

Company Sports Sports Analytics Computer Vision Artificial Intelligence Video Analysis Statistics Basketball Baseball Data

Kin Score

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

Composite quality — 19.9/100 · emerging

Contract Quality 9.5 / 21

Developer Ergonomics 0.0 / 17

Access Clarity 0.0 / 17

Operational Transparency 0.0 / 11

Contract Governance 1.9 / 10

Discoverability 6.2 / 9

Regulatory Posture 1.5 / 15

Agent readiness — 15/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 6 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 9 / 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 4 / 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 does not apply to this provider. The published contracts declare no write operations, and a read-only API cannot create-or-update. The facet is excluded from this provider's denominator entirely — not scored zero. A reference or data API is not deficient for being unable to upsert.

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):

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)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

9 more unmet checks in the Agent Readiness table above.

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

Developer Ergonomics scores 0.0 — up to +20.0 composite points
Access Clarity scores 0.0 — up to +20.0 composite points
Contract Quality scores 44.7 — up to +13.8 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/preciser/apis.yml: open an issue on github.com/api-evangelist/preciser 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
ONVIF Video Analytics (video surveillance, edge cameras, computer vision)	undeclared	-	-	1

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.

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

OpenAPI

measured — observed by APIs.io (published)

APIs 2

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

Preciser Chart Data API

The Chart Data API from Preciser — 1 operation(s) for chart data.

Preciser Opp Team Data API

The Opp Team Data API from Preciser — 1 operation(s) for opp team data.

Open Collections 2

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Preciser Chart Data API

OPEN COLLECTION

Preciser Chart Data Opp Team Data API

OPEN COLLECTION

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Preciser API Rules

41 rules · 39 errors 1 warnings 1 info

SPECTRAL

OpenAPI Overlays 1

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

Preciser Api Overlay

4 actions · update · preciser-api-openapi.yml

DERIVED

Security Posture 1

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

Preciser Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

SignUp

SignUp

Login

Documentation 2

Reference material describing how the API behaves

APIReference

APIReference

OpenAPI

OpenAPI

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

X-MCPServerCandidate

X-MCPServerCandidate

LLMsTxt

LLMsTxt

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

DataModel

DataModel

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 5

The organization behind the API

Website

Website

Blog

Blog

LinkedIn

Twitter

Twitter

Instagram

Instagram

Other 1

Properties that don't map to a standard resource type

Overlay

Overlay

Source (apis.yml)

aid: preciser
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  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
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/preciser.png
name: Preciser
description: Preciser is an AI and computer-vision sports analytics platform that automatically converts basketball and baseball
  game footage into statistics, trends, and player insights, removing the traditionally manual work of video tagging. Its
  three-part product covers Capture (InstaStats converts video to stats), Analyze (a Data Management System that generates
  statistics and insights), and Monetize (APIs that expose live stats feeds and widgets). The Preciser API advertises game
  chart-data and opponent-team-data endpoints under https://plg-api.preciser.io/v1. The company reports roughly 85% average
  accuracy, a two-hour average turnaround per game, and 10x faster analysis than manual tagging. Preciser is backed by 500
  Global and the NVIDIA Inception Program.
url: https://raw.githubusercontent.com/api-evangelist/preciser/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- 500-global
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 7
  pass: local-v1
tags:
- Company
- Sports
- Sports Analytics
- Computer Vision
- Artificial Intelligence
- Video Analysis
- Statistics
- Basketball
- Baseball
- Data
tags_raw:
- Company
- Sports
- Sports Analytics
- Computer Vision
- Artificial Intelligence
- Video Analysis
- Statistics
- Basketball
- Baseball
- Data
- Computer-Vision
apis:
- aid: preciser:preciser-chart-data-api
  name: Preciser Chart Data API
  description: The Chart Data API from Preciser — 1 operation(s) for chart data.
  humanURL: https://preciser.io/apis
  baseURL: https://plg-api.preciser.io/v1
  tags:
  - Chart Data
  properties:
  - type: OpenAPI
    url: openapi/preciser-chart-data-api-openapi.yml
- aid: preciser:preciser-opp-team-data-api
  name: Preciser Opp Team Data API
  description: The Opp Team Data API from Preciser — 1 operation(s) for opp team data.
  humanURL: https://preciser.io/apis
  baseURL: https://plg-api.preciser.io/v1
  tags:
  - Opp Team Data
  properties:
  - type: OpenAPI
    url: openapi/preciser-opp-team-data-api-openapi.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://preciser.io
- type: APIReference
  url: https://api.preciser.io/
- type: Blog
  url: https://preciser.io/blog
- type: SignUp
  url: https://app.preciser.io
- type: Login
  url: https://app.preciser.io
- type: Support
  url: https://preciser.io/contact
- type: TermsOfService
  url: https://preciser.io/terms-and-conditions
- type: PrivacyPolicy
  url: https://preciser.io/privacy-policy
- type: LinkedIn
  url: https://www.linkedin.com/company/preciserai/
- type: Twitter
  url: https://twitter.com/preciserai
- type: Instagram
  url: https://www.instagram.com/precisersports/
- type: OpenAPI
  url: openapi/_original/preciser-api-openapi.yml
- type: Overlay
  url: overlays/preciser-api-overlay.yaml
- type: X-MCPServerCandidate
  url: mcp/preciser-mcp.yml
  note: 'Renamed from MCPServer 2026-09-03 (roadmap#247): the manifest self-describes as status: candidate — a tool list derived
    from the published API contracts, not an existing server. The scorer already read the manifest and reported mcp_server
    correctly; the MCPServer type was crediting the artifact-type surfaces with a server that does not exist.'
- type: LLMsTxt
  url: llms/preciser-llms.txt
- type: Conformance
  url: conformance/preciser-conformance.yml
- type: DataModel
  url: data-model/preciser-data-model.yml
- type: DomainSecurity
  url: security/preciser-domain-security.yml

Preciser API — frequently asked questions

Does Preciser have an API?

Yes. APIs.io lists 2 APIs from Preciser, including Preciser Chart Data API and Preciser Opp Team Data API.

Is there an OpenAPI specification for the Preciser API?

Yes. APIs.io indexes 2 OpenAPI specifications for Preciser, each linked for download from this page.

Is the Preciser API ready for AI agents?

Preciser has a Kin Score of 19.9 out of 100 (emerging) and an Agent Readiness score of 15.0 (agent-aware), scored by API Evangelist on 2026-11-06.

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