# EverestLabs

**Canonical:** https://apis.io/providers/everestlabs/  
**Website:** https://www.everestlabs.ai/  
**APIs profiled:** 0

EverestLabs builds AI, computer vision, and robotics for the recycling industry. Its RecycleOS platform identifies, tracks, and sorts recoverable materials on the conveyor lines of Materials Recovery Facilities (MRFs), giving recyclers, reclaimers, and packaging manufacturers analytics, bale tracing, plant optimization, and compliance reporting to increase recovery rates, cut labor costs, and verify recycled content. Headquartered in Fremont, California and backed by Sierra Ventures. EverestLabs does not currently publish a public developer API, SDK, or developer portal; this profile captures its public web, GitHub, and discovery surface.

## Kin Score — 8.2 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 8.2).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| 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)

- **Everestlabs Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Artificial Intelligence, Robotics, Recycling, Computer-Vision, Sustainability, Waste Management, Analytics

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