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Cartography

Cartography is an open-source Python security-graph tool originally built at Lyft that consolidates infrastructure assets and the relationships between them into an intuitive Neo4j graph. It ingests data from 30+ cloud, identity, DevOps, and security providers (AWS, GCP, Azure, OCI, Okta, Entra ID, GitHub, Kubernetes, CrowdStrike, and more) and lets security teams answer cross-provider questions such as "which identities can reach which datastores," "which compute instances are exposed to the internet," and "what are the blast radii of a compromised credential."

human only

Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.

Kin Score

API Evangelist profiles Cartography the way a machine reads it — 15 machine-readable artifacts across 11 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 — Cartography scores 30.6/100 (thin), with a separate agent-readiness read of 7/100 (human only). 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 — 30.6/100 · thin
Contract Quality 2.4 / 25
Developer Ergonomics 4.8 / 20
Commercial Clarity 7.9 / 20
Operational Transparency 6.8 / 13
Governance 0.0 / 12
Discoverability 8.8 / 10
Agent readiness — 7/100 · 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 7 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

How we profile Cartography

Each block below is one kind of artifact we hold for Cartography. 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 11

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.

Cartography

Python tool that ingests infrastructure data from 30+ providers into a Neo4j graph for cross-provider security analysis.

Cartography AWS Intel Module

Cartography intel module that calls AWS APIs (EC2, IAM, S3, RDS, EKS, Lambda, ECS, DynamoDB, CloudWatch, ACM, KMS, CodeBuild, API Gateway, Bedrock, and more) to populate AWS nod...

Cartography Google Cloud Intel Module

Cartography intel module that calls Google Cloud APIs (Compute, IAM, Cloud SQL, GKE, Cloud Functions, Artifact Registry, Vertex AI) to populate GCP nodes and relationships in th...

Cartography Azure Intel Module

Cartography intel module that calls Azure APIs (App Service, AKS, CosmosDB, Container Instance, Key Vault, Storage, Virtual Machines) to populate Azure nodes and relationships i...

Cartography Oracle Cloud Intel Module

Cartography intel module that calls Oracle Cloud Infrastructure APIs (starting with IAM) to populate OCI nodes and relationships.

Cartography Okta Intel Module

Ingests Okta users, groups, applications, and factors into the graph for identity-focused security analysis.

Cartography Entra ID Intel Module

Ingests Microsoft Entra ID users, groups, applications, and role assignments into the graph.

Cartography GitHub Intel Module

Ingests GitHub organizations, repositories, users, and access relationships, enabling code-ownership and secret-exposure graph queries.

Cartography Kubernetes Intel Module

Ingests Kubernetes cluster objects (nodes, pods, services, service accounts) for graph-based cluster-security analysis.

Cartography CrowdStrike Intel Module

Ingests CrowdStrike Falcon hosts and detections, connecting endpoint telemetry to the infrastructure graph.

Cartography Cloudflare Intel Module

Ingests Cloudflare zones, DNS, and security configurations into the graph for edge-exposure analysis.

Scroll within the panel for all 11 ·

Pricing 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.

Cartography Rate Limits

5 limits

RATE LIMITS

FinOps 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.

Semantic Vocabularies 1

JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.

JSON-LD contexts and semantic vocabularies used across these APIs.

Cartography Context

0 classes · 9 properties

JSON-LD

Resources

Every other property we hold for Cartography — 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 1

Portal, sign-up, and the first successful call

Documentation 1

Reference material describing how the API behaves

Build 1

SDKs, sample code, and the tooling you integrate with

Learn 1

Tutorials, courses, talks, and written guidance

Operate 3

Status, limits, changes, and where to get help

Commercial 1

Pricing, plans, and the legal terms of use

Company 1

The organization behind the API

Other 1

Properties that don't map to a standard resource type

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