aid: typesafe-ai
name: TypeSafe AI
description: >-
  TypeSafe AI is a San Francisco AI lab building System One models — a class of model trained to
  return typed, calibrated decisions for software instead of generated text. Its flagship and first
  System One model, Jev, is served by a single HTTP endpoint: POST /v1/systemone takes a `state`
  (a string, JSON object, or array) plus a map of typed questions and returns one structured answer
  per question. Three question primitives are published: Noul (a yes/no question answered with the
  probability the answer is yes), Choice (one option from a caller-defined set, returned with the
  full probability distribution) and Score (a rating against ordered rubric levels, returned as a
  probability-weighted value plus a legend). Choice and Score answers also carry a confidence value
  derived from the distribution, which is the mechanism TypeSafe intends callers to threshold on to
  decide when code may act autonomously and when it must escalate to a human. The model is trained
  with Reinforcement Learning for Calibrated Decisions (RLCD) rather than RLHF, is not fine-tuned or
  LoRA-adapted per customer, and is not trained on customer requests or responses. The company
  publishes an OpenAPI 3.1 contract on its API host, official Python and TypeScript SDKs, an
  installable Agent Skill for Claude Code and other coding agents, an A2A agent card, an anonymous
  documentation MCP server, an llms.txt index, a Better Stack status page and a Vanta trust center.
url: https://raw.githubusercontent.com/api-evangelist/typesafe-ai/refs/heads/main/apis.yml
image: https://framerusercontent.com/images/RtIGTDwO43jR4ZDilesXiR5znc.jpg
x-type: company
x-source: harvest:direct-request
specificationVersion: '0.20'
created: '2026-09-19'
modified: '2026-09-19'
tags:
- Artificial Intelligence
- Machine Learning
- Classification
- Content Moderation
- Decision Support
- Structured Outputs
- Inference
- LLM Alternative
- Agent Skills
- MCP
- Agent-Native
- Developer Tools
- A2A
tags_raw:
- artificial-intelligence
- machine-learning
- classification
- content-moderation
- decision-support
- structured-outputs
- inference
- llm-alternative
- agent-skills
- mcp
- agent-native
- developer-tools
- Machine Learning
- Machine-Learning
- A2A
apis:
- aid: typesafe-ai:docs-mcp
  name: TypeSafe AI Documentation MCP Server
  description: >-
    Hosted, anonymous, read-mostly MCP server over the published TypeSafe documentation corpus. Three
    tools: search_type_safe_ai (knowledge-base search), query_docs_filesystem_type_safe_ai (read-only
    rg/tree/head over a virtualised in-memory filesystem of the docs) and submit_feedback (the one write,
    reporting a documentation defect). It does NOT expose the System One evaluation endpoint — an agent
    can read everything about Jev over MCP and call none of it.
  humanURL: https://docs.typesafe.ai/introduction
  baseURL: https://docs.typesafe.ai/mcp
  tags:
  - MCP
  - Agent-Native
  - Developer Tools
  tags_raw:
  - mcp
  - agent-native
  - developer-tools
  properties:
  - type: MCPServer
    url: mcp/typesafe-ai-mcp.yml
  - type: MCPServer
    name: MCP endpoint (provider-hosted)
    url: https://docs.typesafe.ai/mcp
  - type: ToolCrosswalk
    url: mcp/typesafe-ai-tool-crosswalk.yml
  - type: Documentation
    url: https://docs.typesafe.ai/agent-skill
- aid: typesafe-ai:typesafe-ai-models-api
  name: TypeSafe AI Models API
  description: The Models API from TypeSafe AI — 1 operation(s) for models.
  humanURL: https://docs.typesafe.ai/api
  baseURL: https://api.typesafe.ai
  tags:
  - Models
  properties:
  - type: OpenAPI
    url: openapi/typesafe-ai-models-api-openapi.yml
  - type: Documentation
    url: https://docs.typesafe.ai/introduction
  - type: APIReference
    url: https://docs.typesafe.ai/api
  - type: GettingStarted
    url: https://docs.typesafe.ai/introduction/quickstart
  - type: Authentication
    url: authentication/typesafe-ai-authentication.yml
  - type: Conventions
    url: conventions/typesafe-ai-conventions.yml
  - type: ErrorCatalog
    url: errors/typesafe-ai-problem-types.yml
  - type: DataModel
    url: data-model/typesafe-ai-data-model.yml
  - type: Examples
    url: examples/typesafe-ai-examples.yml
  - type: RateLimits
    url: rate-limits/typesafe-ai-rate-limits.yml
- aid: typesafe-ai:typesafe-ai-systemone-api
  name: TypeSafe AI Systemone API
  description: The Systemone API from TypeSafe AI — 1 operation(s) for systemone.
  humanURL: https://docs.typesafe.ai/api
  baseURL: https://api.typesafe.ai
  tags:
  - Systemone
  properties:
  - type: OpenAPI
    url: openapi/typesafe-ai-systemone-api-openapi.yml
  - type: Documentation
    url: https://docs.typesafe.ai/introduction
  - type: APIReference
    url: https://docs.typesafe.ai/api
  - type: GettingStarted
    url: https://docs.typesafe.ai/introduction/quickstart
  - type: Authentication
    url: authentication/typesafe-ai-authentication.yml
  - type: Conventions
    url: conventions/typesafe-ai-conventions.yml
  - type: ErrorCatalog
    url: errors/typesafe-ai-problem-types.yml
  - type: DataModel
    url: data-model/typesafe-ai-data-model.yml
  - type: Examples
    url: examples/typesafe-ai-examples.yml
  - type: RateLimits
    url: rate-limits/typesafe-ai-rate-limits.yml
common:
- type: VulnerabilityDisclosure
  url: security/typesafe-ai-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/typesafe-ai-domain-security.yml
- type: Website
  url: https://typesafe.ai/
- type: DeveloperPortal
  url: https://docs.typesafe.ai/
- type: Documentation
  url: https://docs.typesafe.ai/introduction
- type: APIReference
  url: https://docs.typesafe.ai/api
- type: GettingStarted
  url: https://docs.typesafe.ai/introduction/quickstart
- type: SignUp
  name: Console sign-up / sign-in (passwordless — Continue with Google or emailed code)
  url: https://console.typesafe.ai/
- type: Login
  url: https://console.typesafe.ai/login
- type: TermsOfService
  url: https://typesafe.ai/legal/terms
- type: PrivacyPolicy
  url: https://typesafe.ai/legal/privacy-policy
- type: GitHubOrganization
  url: https://github.com/typesafe-ai
- type: Blog
  url: https://typesafe.ai/blog/introducing-system-one-models-and-jev
- type: Leadership
  url: https://typesafe.ai/team
- type: StatusPage
  url: https://status.typesafe.ai/
- type: TrustCenter
  name: Trust center (provider-hosted, Vanta)
  url: https://trust.typesafe.ai/
- type: MCPServer
  url: mcp/typesafe-ai-mcp.yml
- type: AgentCard
  url: a2a/typesafe-ai-a2a.yml
- type: AgentSkill
  url: skills/_index.yml
- type: LLMsTxt
  url: llms/typesafe-ai-llms.txt
- type: WellKnown
  url: well-known/typesafe-ai-well-known.yml
- type: SecurityTxt
  url: well-known/typesafe-ai-security.txt
- type: Packages
  url: packages/typesafe-ai-packages.yml
- type: SDKs
  url: packages/typesafe-ai-packages.yml
- type: Authentication
  url: authentication/typesafe-ai-authentication.yml
- type: Conventions
  url: conventions/typesafe-ai-conventions.yml
- type: Conformance
  url: conformance/typesafe-ai-conformance.yml
- type: ErrorCatalog
  url: errors/typesafe-ai-problem-types.yml
- type: Lifecycle
  url: lifecycle/typesafe-ai-lifecycle.yml
- type: ChangeLog
  url: changelog/typesafe-ai-changelog.yml
- type: Plans
  url: plans/typesafe-ai-plans-pricing.yml
- type: RateLimits
  url: rate-limits/typesafe-ai-rate-limits.yml
- type: Sandbox
  url: sandbox/typesafe-ai-sandbox.yml
- type: DataModel
  url: data-model/typesafe-ai-data-model.yml
- type: Examples
  url: examples/typesafe-ai-examples.yml
- type: Overlay
  url: overlays/typesafe-ai-openapi-overlay.yaml
- type: Careers
  url: https://jobs.ashbyhq.com/typesafe-ai
- type: Security
  url: security/typesafe-ai-vulnerability-disclosure.yml
- type: TrustCenter
  name: Trust center probe (artifact)
  url: security/typesafe-ai-trust-center.yml
- type: IncidentNotification
  name: 72-hour security-incident notification (DPA 5.2) — harvest record in regulatory/typesafe-ai-regulatory-posture.yml
  url: https://typesafe.ai/legal/data-processing
- type: Subprocessors
  name: Subprocessor list named by the DPA (Vanta trust center; table is JS-rendered)
  url: https://trust.typesafe.ai/subprocessors
- type: DataResidency
  name: Hosted in the United States (Privacy Policy, International Visitors)
  url: https://typesafe.ai/legal/privacy-policy
- type: AITransparency
  name: Per-version model limitations (jev-1.13 jaggedness)
  url: https://docs.typesafe.ai/model-jaggedness/jev-1.13
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-09-19'
  status: enriched
  artifacts_added: 32
  pass: local-v3
x-coverage:
  state: covered
  reason: null
  detail: >-
    Fully covered. The machine-readable contract was found on the API host root
    (https://api.typesafe.ai/openapi.json, 200, OpenAPI 3.1.0) after the docs host returned
    "Asset not found" for every spec path, and the provider additionally serves a conformant A2A
    agent card, a live anonymous MCP server, two published Agent Skills and an llms.txt.
  evidence:
    - url: https://api.typesafe.ai/openapi.json
      status: 200
    - url: https://docs.typesafe.ai/.well-known/agent-card.json
      status: 200
    - url: https://docs.typesafe.ai/mcp
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  checked: '2026-09-19'
x-a2a:
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  probed: '2026-09-26'
  url: "https://docs.typesafe.ai/.well-known/agent-card.json"
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  protocol_version: "0.3"
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