# Context.ai *

**Canonical:** https://apis.io/providers/contextai/  
**Website:** https://www.context.ai  
**APIs profiled:** 0

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.

## Kin Score — 11.4 / 100 (emerging)

Scored 2026-08-21 under rubric 0.12.0. Trend: flat (+0.0 from 11.4).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 21.1 |
| Access Clarity | 21.1 |

## 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)

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

## Tags

Company, Artificial Intelligence, AI Agents, Enterprise AI, Agent Platform, LLM, Automation, Evaluation

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