Perch

Perch is a computer-vision weight-room performance monitoring system that captures athlete movement — velocity-based training, jump testing, and strength programming — from 3D cameras mounted on the rack, without wearables or tethers. Spun out of MIT and backed by SoftBank Vision Fund and Techstars, Perch was acquired by sports-technology company Catapult; the perch.fit domain now 301-redirects to catapult.com/perch, where the product is sold and supported as part of Catapult's athlete-monitoring suite. Perch exposes no public API, developer portal, SDK, or machine-readable API specification — this profile is retained as an identity record for the acquired brand.

Perch is profiled on the APIs.io network. Tagged areas include Company, Consumer, Sports Technology, Athlete Monitoring, and Computer Vision.

Perch’s developer surface includes support, pricing, engineering blog, and 4 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

12.8/100 emerging ▬ flat Agent 0/100 human only Front door AI 1/6 silent saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs

Company Consumer Sports TechnologyAthlete MonitoringComputer Vision Fitness Strength Training Acquired Sports Analytics Video Analysis

Kin Score

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

Composite quality — 12.8/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 1.2 / 17

Access Clarity 5.4 / 17

Operational Transparency 1.2 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 1.1 / 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
Developer Ergonomics scores 7.1 — up to +18.6 composite points
Access Clarity scores 31.6 — up to +13.7 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/perch/apis.yml: open an issue on github.com/api-evangelist/perch 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	-	-	-

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.

Resources

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

WellKnown

WellKnown

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

PrivacyPolicy

PrivacyPolicy

TermsOfService

TermsOfService

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: perch
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/perch.png
name: Perch
description: Perch is a computer-vision weight-room performance monitoring system that captures athlete movement — velocity-based
  training, jump testing, and strength programming — from 3D cameras mounted on the rack, without wearables or tethers. Spun
  out of MIT and backed by SoftBank Vision Fund and Techstars, Perch was acquired by sports-technology company Catapult; the
  perch.fit domain now 301-redirects to catapult.com/perch, where the product is sold and supported as part of Catapult's
  athlete-monitoring suite. Perch exposes no public API, developer portal, SDK, or machine-readable API specification — this
  profile is retained as an identity record for the acquired brand.
url: https://raw.githubusercontent.com/api-evangelist/perch/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- softbank-vision-fund
- techstars
x-acquired-by: catapult
x-tier: stub
x-tier-reason: acquired-no-api-surface
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Consumer
- Sports Technology
- Athlete Monitoring
- Computer Vision
- Fitness
- Strength Training
- Acquired
- Sports
- Analytics
- Video Analysis
tags_raw:
- Company
- Consumer
- Sports Technology
- Athlete Monitoring
- Computer Vision
- Fitness
- Strength Training
- Acquired
- Computer-Vision
- Sports
- Analytics
- Video-Analysis
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.catapult.com/perch
- type: Support
  url: https://www.catapult.com/support
- type: Pricing
  url: https://www.catapult.com/pricing
- type: Blog
  url: https://www.catapult.com/learning-library
- type: PrivacyPolicy
  url: https://www.catapult.com/privacy-policy
- type: TermsOfService
  url: https://www.catapult.com/standard-terms
- type: WellKnown
  url: well-known/perch-well-known.yml
x-enrichment:
  date: '2026-07-20'
  status: minimal
  artifacts_added: 2
  pass: local-v1

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