# Robocurve

**Canonical:** https://apis.io/providers/robocurve/  
**Website:** https://robocurve.org  
**APIs profiled:** 0

Robocurve is a San Francisco Public Benefit Corporation (Y Combinator Summer 2026) building open-source tools and independent benchmarks to help society understand what AI and robots can actually do in the physical world. Its flagship framework, Inspect Robots ("the Inspect AI for robotics"), runs any vision-language-action policy on any embodiment against any benchmark with full trace logs and live Rerun visualization, and integrates with ROS, Isaac Lab, and LeRobot. World Evals is its curated catalog of physical-world benchmarks (KitchenBench, DataCenterBench). Everything ships MIT-licensed as Python packages with a command-line interface rather than a hosted REST API.

## Kin Score — 11.9 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 11.9).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 18.4 |
| Developer Ergonomics | 19.0 |
| 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)

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

## Tags

Company, Robotics, Physical AI, Evaluation, Benchmarks, Open-Source, Machine-Learning, Vision Language Action

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