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Scribe

Scribe (scribehow) is an AI workflow-documentation platform founded in 2019 that automatically turns any process or software walkthrough into a step-by-step guide. Its products — Scribe Capture, the knowledge base, and the newer Scribe Optimize workflow-mapping platform — are used by more than five million people across a large share of the Fortune 500. For developers, Scribe publishes a read-only Search & Retrieval API (OpenAPI 3.1) that searches, lists, and retrieves an organization's Scribe Documents and Knowledge Pages for integration into custom applications and AI agents. Public API access is an Enterprise-plan feature authenticated with a static API key sent in the X-API-Key header. The company is backed by Amplify Partners, Redpoint Ventures, Tiger Global, StepStone, Morado Ventures, and New York Life Ventures, and reached a $1.3B valuation with its 2025 Series C.

agent native

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.

Kin Score

API Evangelist profiles Scribe the way a machine reads it — 9 machine-readable artifacts across 3 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 — Scribe scores 50.9/100 (developing), with a separate agent-readiness read of 76/100 (agent native). 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.

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 50.9/100 · developing
Contract Quality 15.1 / 25
Developer Ergonomics 11.7 / 20
Commercial Clarity 12.1 / 20
Operational Transparency 2.1 / 13
Governance 0.0 / 12
Discoverability 10.0 / 10
Agent readiness — 76/100 · agent native
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 8 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 0 / 6
Agent Skills 5 / 5
Well-Known Catalog 4 / 4
Consent & Bot Identity 0 / 3

How we profile Scribe

Each block below is one kind of artifact we hold for Scribe. 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 3

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.

Scribe Documents API

The Documents API from Scribe — 2 operation(s) for documents.

Scribe Search API

The Search API from Scribe — 1 operation(s) for search.

Scribe Teams API

The Teams API from Scribe — 1 operation(s) for teams.

MCP Servers 1

Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.

Model Context Protocol servers that expose these APIs to AI agents.

scribe-mcp.yml

MCP SERVER

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.

Scribe Rate Limits

0 limits

RATE LIMITS

Security Posture 3

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.

Scribe Authentication

apiKey · 1 scheme

SECURITY

Scribe Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Scribe Trust Center

SOC 2 Type II, ISO 27001, HIPAA, FERPA, GDPR, US State Privacy Laws

SECURITY

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.

Scribe Agentic Access

4 operations · 1 acting

4 operations · 1 acting

AGENTIC

Resources

Every other property we hold for Scribe — 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 2

Reference material describing how the API behaves

Operate 3

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

← All providers · Data indexed from github.com/api-evangelist/scribe · machine-readable index on apis.io