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.
Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.
API Evangelist profiles Mecka AI the way a machine reads it — 1 machine-readable artifact, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Mecka AI scores 8.9/100 (minimal), with a separate agent-readiness read of 0/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Mecka AI
Each block below is one kind of artifact we hold for Mecka AI. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Security Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for Mecka AI — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Access & Security 1
Authentication, authorization, and security posture
Commercial 1
Pricing, plans, and the legal terms of use
Company 4
The organization behind the API
Other 2
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/mecka-ai · machine-readable index on apis.io