# Sooth

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

Sooth (Sooth Labs, Inc.) is an AI research company building a "World Model for Global Foresight" — a continuously trained forecasting engine that integrates economic, geopolitical, and operational signals into calibrated probability forecasts for high-stakes decisions. Its platform is described in three parts: the Sooth Engine (a world model that reasons across domains), Sooth Chronology (autonomous agents that collect and prioritize signals), and Sooth Proof (cryptographically committed, calibrated forecasts with an auditable track record). Founded by veterans of frontier AI at Meta and Carnegie Mellon and backed by Felicis, the company is pre-product as of mid-2026 and does not yet publish a public API, developer portal, or documentation.

## Kin Score — 5.0 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 5.0).

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

- **Sooth Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Artificial Intelligence, Forecasting, World Model, Foresight, Decision Intelligence, Risk, Machine-Learning

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