# Contoro Robotics

**Canonical:** https://apis.io/providers/contoro-robotics/  
**Website:** https://contoro.com/  
**APIs profiled:** 0

Contoro Robotics, founded in 2022 and based in Austin, Texas, develops AI‑powered autonomous robots that unload non‑palletized boxes from trailers and shipping containers. Their human‑in‑the‑loop platform combines teleoperation, AI training, and DuoGrasp grippers to provide a reliable, affordable, and safe solution for logistics operators, reducing labor costs and improving safety without requiring upfront capital or long‑term contracts.

## Kin Score — 3.0 / 100 (minimal)

Scored 2026-11-06 under rubric 0.27.0. Trend: flat (+0.0 from 3.0).

| Facet | Score |
|---|---|
| Discoverability | 44.6 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Access Clarity | 0.0 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 5.5 (matched via fallback).

## 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 |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

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

## Security (1)

- **Contoro Robotics Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Robotics, Artificial Intelligence, Logistics, Automation, Warehouse

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