Context.ai *

Context (context.ai) is a unified enterprise AI platform for building, deploying, and improving AI agents at scale. The product is organized into modular components: a Workspace for authoring agent workflows in plain English, an Engine with 800+ connectors and IdP-brokered identity, Unify as a knowledge/institutional-context repository, and Evals for rubric-based quality scoring. It is model-agnostic (Claude, GPT, Gemini, Kimi, or open weights) and offers hosted, VPC, on-prem, or air-gapped deployment. The company originated as a GV (Google Ventures) and Theory Ventures backed product-analytics-for-LLMs startup and now operates as an enterprise agent platform used by teams including Qualcomm, Stripe, and Palantir. This repo carries no public developer/API surface: the provider publishes no OpenAPI, SDKs, MCP server, or developer documentation, so most machine-readable artifacts are not applicable.

Context.ai * is profiled on the APIs.io network. Tagged areas include Company, Ai, AI Agents, Enterprise AI, and Agent Platform.

Context.ai *’s developer surface includes engineering blog, signup flow, support, and 5 more developer resources.

🌐 Visit website 📡 Source on GitHub

14.9/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyAiAI AgentsEnterprise AIAgent PlatformLLMAutomationEvaluation

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 14.9/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 1.3 / 20

Commercial Clarity 6.8 / 20

Operational Transparency 0.0 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

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

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/contextai: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Get Started 1

Portal, sign-up, and the first successful call

SignUp

SignUp

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: contextai
name: Context.ai *
description: 'Context (context.ai) is a unified enterprise AI platform for building, deploying, and improving AI agents at
  scale. The product is organized into modular components: a Workspace for authoring agent workflows in plain English, an
  Engine with 800+ connectors and IdP-brokered identity, Unify as a knowledge/institutional-context repository, and Evals
  for rubric-based quality scoring. It is model-agnostic (Claude, GPT, Gemini, Kimi, or open weights) and offers hosted, VPC,
  on-prem, or air-gapped deployment. The company originated as a GV (Google Ventures) and Theory Ventures backed product-analytics-for-LLMs
  startup and now operates as an enterprise agent platform used by teams including Qualcomm, Stripe, and Palantir. This repo
  carries no public developer/API surface: the provider publishes no OpenAPI, SDKs, MCP server, or developer documentation,
  so most machine-readable artifacts are not applicable.'
url: https://raw.githubusercontent.com/api-evangelist/contextai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- gv
x-tier: stub
x-tier-reason: portfolio-lead
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-18'
image: https://context.ai/img/og-default.png
tags:
- Company
- Ai
- AI Agents
- Enterprise AI
- Agent Platform
- LLM
- Automation
- Evaluation
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.context.ai
- type: Blog
  url: https://www.context.ai/blog
- type: SignUp
  url: https://workspace.context.ai
- type: Support
  url: https://www.context.ai/contact
- type: TermsOfService
  url: https://www.context.ai/terms
- type: PrivacyPolicy
  url: https://www.context.ai/privacy-policy
- type: DomainSecurity
  url: security/contextai-domain-security.yml
- type: LLMsTxt
  url: llms/contextai-llms.txt
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence