# Mecka AI

**Canonical:** https://apis.io/providers/mecka-ai/  
**Website:** https://mecka.ai  
**APIs profiled:** 0

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.

## Kin Score — 7.1 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 7.1).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Commercial Clarity | 10.5 |
| Access Clarity | 10.5 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Mecka Ai Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

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

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/mecka-ai/). Scores are computed from the provider's own public artifacts under a published rubric.