Mecka AI

Mecka AI is the data and deployment layer for physical AI — it captures, structures, and evaluates real-world human and robot activity into datasets that robotics and embodied-AI teams can train on. Rather than building robots, Mecka positions itself as the integrator of the robotics ecosystem, plugging into hardware makers, frontier model labs, and commercial partners and owning the last-mile data, annotation, QA, and evaluation layer between them. Its Egoverse dataset captures large-scale first-person (egocentric) human activity across tasks and environments, and a companion iOS app lets teams collect task-specific data at scale. Mecka is backed by Forerunner Ventures and raised a $60M Series A in 2026. As of this pass Mecka publishes a marketing site, an iOS data-collection app, and the Egoverse data platform, but no public developer API, SDK, or documentation surface.

Mecka AI is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Physical AI, Robotics, and Embodied AI.

🌐 Visit website 📡 Source on GitHub

7.1/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Company Artificial Intelligence Physical AI Robotics Embodied AI Training Data Datasets Machine-Learning Computer-Vision

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 7.1/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 0.0 / 20

Access Clarity 2.1 / 20

Operational Transparency 0.0 / 13

Contract Governance 0.0 / 12

Discoverability 5.0 / 10

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

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.

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Security Posture 1

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

Mecka Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 1

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

Company 4

The organization behind the API

Website

Website

Careers

Careers

LinkedIn

Twitter

Twitter

Other 2

Properties that don't map to a standard resource type

Platform

Platform

MobileApp

MobileApp

Source (apis.yml)

aid: mecka-ai
name: Mecka AI
description: Mecka AI is the data and deployment layer for physical AI — it captures, structures, and evaluates real-world
  human and robot activity into datasets that robotics and embodied-AI teams can train on. Rather than building robots, Mecka
  positions itself as the integrator of the robotics ecosystem, plugging into hardware makers, frontier model labs, and commercial
  partners and owning the last-mile data, annotation, QA, and evaluation layer between them. Its Egoverse dataset captures
  large-scale first-person (egocentric) human activity across tasks and environments, and a companion iOS app lets teams collect
  task-specific data at scale. Mecka is backed by Forerunner Ventures and raised a $60M Series A in 2026. As of this pass
  Mecka publishes a marketing site, an iOS data-collection app, and the Egoverse data platform, but no public developer API,
  SDK, or documentation surface.
url: https://raw.githubusercontent.com/api-evangelist/mecka-ai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- forerunner-ventures
x-tier: stub
x-tier-reason: portfolio-lead
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: []
  generated: '2026-07-22'
  method: derived
image: https://www.mecka.ai/og.jpg
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Artificial Intelligence
- Physical AI
- Robotics
- Embodied AI
- Training Data
- Datasets
- Machine-Learning
- Computer-Vision
tags_raw:
- Company
- Ai
- Physical AI
- Robotics
- Embodied AI
- Training Data
- Datasets
- Machine Learning
- Computer Vision
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/mecka-ai-domain-security.yml
- type: Website
  url: https://mecka.ai
- type: PrivacyPolicy
  url: https://mecka.ai/privacy
- type: Platform
  name: Egoverse
  url: https://egoverse.ai/
- type: MobileApp
  name: Mecka for iOS
  url: https://apps.apple.com/us/app/mecka/id6758835773
- type: Careers
  url: https://mecka.ai/careers
- type: LinkedIn
  url: https://www.linkedin.com/company/mecka-ai
- type: Twitter
  url: https://x.com/MeckaAI
x-enrichment:
  date: '2026-07-20'
  status: minimal
  artifacts_added: 1
  pass: local-v1

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