Cognition AI
Cognition AI is an applied AI lab building Devin, an autonomous AI software engineer that plans, writes, tests, and ships production code. The company also operates the Windsurf agentic IDE following its 2025 acquisition of the Windsurf team and product. Devin is sold to individual developers, engineering teams, and enterprises as a managed agent that integrates with GitHub, Linear, Slack, Jira, and CI systems to handle migrations, PR review, bug triage, documentation, and scheduled engineering work. Cognition exposes a v3 REST API (Organization and Enterprise scopes) plus a CLI so customers can program Devin into their own workflows. Pricing runs from a free tier through Pro ($20/mo), Max ($200/mo), Teams ($80/seat/mo), and custom Enterprise plans with SAML/OIDC SSO and VPC deployment.
Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.
API Evangelist profiles Cognition AI the way a machine reads it — 17 machine-readable artifacts across 8 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Cognition AI scores 45.2/100 (developing), with a separate agent-readiness read of 48/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
How we profile Cognition AI
Each block below is one kind of artifact we hold for Cognition AI. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 8
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Devin API
The Devin API is a REST interface for creating and managing autonomous engineering sessions, knowledge, playbooks, secrets, and analytics across an organization or enterprise. I...
Cognition AI Attachments API
Operations for file uploads
Cognition AI AuditLogs API
Operations for managing audit logs
Cognition AI Enterprise API
Operations for enterprise-specific features and reporting
Cognition AI Knowledge API
Operations for managing knowledge
Cognition AI Playbooks API
Operations for managing playbooks
Cognition AI Secrets API
Operations for managing secrets and credentials
Cognition AI Sessions API
Operations for creating and managing Devin sessions
Scroll within the panel for all 8 ·
Open Collections 1
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Devin External API
OPEN COLLECTIONPricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Cognition Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Cognition Finops
FINOPSSecurity Posture 4
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Resources
Every other property we hold for Cognition AI — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 2
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Access & Security 4
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 1
Pricing, plans, and the legal terms of use
Company 5
The organization behind the API
Other 2
Properties that don't map to a standard resource type
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