Sooth

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.

Sooth is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Forecasting, World Model, and Foresight.

🌐 Visit website 📡 Source on GitHub

5.0/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Company Artificial Intelligence ForecastingWorld ModelForesight Decision Intelligence Risk Machine-Learning

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 5.0/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 0.0 / 20

Access Clarity 0.0 / 20

Operational Transparency 0.0 / 13

Contract Governance 0.0 / 12

Discoverability 5.0 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

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Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Sooth Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Company 2

The organization behind the API

Website

Website

LinkedIn

Source (apis.yml)

aid: sooth
name: Sooth
description: '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.'
url: https://raw.githubusercontent.com/api-evangelist/sooth/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- felicis
x-tier: stub
x-tier-reason: portfolio-lead
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - none
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-21'
image: https://soothlabs.com/favicon.ico
tags:
- Company
- Artificial Intelligence
- Forecasting
- World Model
- Foresight
- Decision Intelligence
- Risk
- Machine-Learning
tags_raw:
- Company
- Artificial Intelligence
- Forecasting
- World Model
- Foresight
- Decision Intelligence
- Risk
- Machine Learning
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://soothlabs.com
- type: LinkedIn
  url: https://www.linkedin.com/company/soothlabs
- type: DomainSecurity
  url: security/sooth-domain-security.yml
x-enrichment:
  date: '2026-07-21'
  status: minimal
  artifacts_added: 1
  pass: local-v1

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