# MOLG

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

MOLG (molg.ai) is a circular manufacturing company tackling electronic waste. It operates autonomous robotic microfactories that disassemble complex devices like laptops and servers to recover components and materials for reuse, remanufacturing, and recycling. MOLG also partners with manufacturers on design-for-circularity (modular snap/press-fit/latch assembly instead of screws and adhesives) and offers OriginMark, a traceability platform for tracking devices, components, and materials across their lifecycle to calculate embodied carbon and supply-chain transparency. As of this enrichment pass MOLG publishes no public API, developer portal, SDK, or technical documentation; this profile captures its identity and domain-security posture.

## Kin Score — 6.0 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 6.0).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 4.8 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

## 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)

- **Molg Domain Security** — TLSv1.3 · HSTS · DNSSEC

## Tags

Company, Circular Manufacturing, E-Waste, Robotics, Recycling, Sustainability, Traceability, Hardware

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