# Physical Intelligence

**Canonical:** https://apis.io/providers/physical-intelligence/  
**Website:** https://www.physicalintelligence.company  
**APIs profiled:** 0

Physical Intelligence (often styled "Pi" or "π") is a San Francisco-based research company building general-purpose foundation models for robotics with the stated goal of producing learning algorithms that can control any robot to do any task. The company has published a continuing line of Vision-Language-Action (VLA) models: π0 (October 2024, first generalist multi-task multi-robot policy), π0-FAST (autoregressive variant via Real-time Action Chunking / FAST tokenization), π0.5 (April 2025, open-world generalization), π*0.6 (November 2025, reinforcement-learning from experience), and π0.7 (April 2026, steerable model with emergent capabilities). Physical Intelligence releases significant work as open source: the openpi repository (~12K stars) is the canonical home for π0 weights and code, with companion repos including real-time-chunking-kinetix, pi-data-sharing, aloha, augmax, and rlds_dataset_builder. The company does not yet offer a hosted commercial API; access to the platform is via open-weight models and research collaborations.

## Kin Score — 3.1 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 3.1).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 2.4 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

Regulatory layer — **Insurance**: 9.1 (matched via tags).

## 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)

- **Physical Intelligence Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC

## Tags

Robotics, Foundation Models, Vision Language Action, Embodied AI, Reinforcement Learning, Imitation Learning, Open-Source, Open Weights, pi0, openpi, Manipulation, Generalist Policy

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