# Peer Robotics

**Canonical:** https://apis.io/providers/peer-robotics/  
**Website:** https://peerrobotics.ai/  
**APIs profiled:** 0

Peer Robotics builds collaborative autonomous mobile robots (AMRs) for manufacturing and warehouse material movement, designed to learn directly from humans to lower the cost and complexity of traditional automation. Its lineup includes the Peer 3000 collaborative mobile robot and the RM250 and RM500 AMRs (250kg and 500kg payloads) that handle pallets, trolleys, bin delivery, and machine tending through an intuitive human-robot dashboard interface. Backed by Techstars, the company operates a hardware and robotics product line rather than a public developer API surface; no public API, SDK, developer documentation, or GitHub repositories were found during enrichment probing.

## Kin Score — 6.8 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 6.8).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 7.1 |
| 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)

- **Peer Robotics Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC

## Tags

Company, Robotics, Autonomous Mobile Robots, Manufacturing, Warehouse Automation, Material Handling, Hardware

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