# Imbue

**Canonical:** https://apis.io/providers/imbue/  
**Website:** https://imbue.com/  
**APIs profiled:** 0

Imbue is a San Francisco AI research lab building agentic foundation models for reasoning and the human tooling around them, with a stated mission of AI that is loyal to its user. The team trains large reasoning models in-house (including a 70B model trained from scratch with open-sourced tooling and evaluation datasets) and publishes research on agent and reasoning architectures, reinforcement learning, data generation, and the scientific theory of deep learning. Imbue ships practical tools that emerge from the research, including Sculptor and mngr for orchestrating parallel coding agents, Bouncer for filtering social feeds, and Blueprint and Vet. There is no public commercial inference API; integration happens through open-sourced repositories, model artifacts on Hugging Face, and research releases.

## Kin Score — 5.8 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 5.8).

| 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 |

## 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)

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

## Tags

Artificial Intelligence, Research, Foundation Models, Agents, Reasoning, Coding Agents, Reinforcement Learning, Open-Source, Hugging Face

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