.AIIgnore
The .aiignore file is a configuration specification that tells AI coding agents and LLM-powered developer tools which files, directories, and content should not be read, processed, or modified. Modeled after .gitignore syntax, .aiignore files protect sensitive data, proprietary code, and personal information from being exposed to AI models during development workflows. Supported by JetBrains AI Assistant, Cursor, GitHub Copilot, Claude Code, Gemini Code Assist, and other AI coding tools.
Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.
API Evangelist profiles .AIIgnore the way a machine reads it — 40 machine-readable artifacts across 1 API, 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 — .AIIgnore scores 36.1/100 (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.
How we profile .AIIgnore
Each block below is one kind of artifact we hold for .AIIgnore. 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 1
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.
AIIgnore CLI
Command-line tool that generates .aiignore configuration files to protect secrets from AI coding tools including JetBrains AI, Cursor, GitHub Copilot, Claude Code, Codeium, and ...
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.
Aiignore 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.
Aiignore Finops
FINOPSFeatures 8
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
Notable capabilities this provider offers.
.gitignore-Compatible Syntax
Uses familiar glob pattern syntax from .gitignore so developers can immediately define exclusion rules.
Secrets Protection
Prevents AI models from reading .env files, credential files, API keys, private keys, and other sensitive data.
Multi-Tool Support
Single .aiignore file works across JetBrains AI, Cursor, GitHub Copilot, Claude Code, Codeium, and Windsurf.
Directory-Level Exclusion
Exclude entire directories from AI context with simple pattern rules (e.g., vendor/, node_modules/).
File Pattern Matching
Match files by extension, name, or path pattern to control AI model access granularly.
Project-Root Placement
Single file in project root applies rules across the entire project tree.
Proprietary Code Protection
Prevent proprietary algorithms, business logic, or licensed code from being sent to external AI APIs.
CLI Generation Tool
aiignore-cli generates boilerplate .aiignore files with one command, covering common secrets patterns automatically.
Scroll within the panel for all 8 ·
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.
Aiignore Context
JSON-LDSpectral Rules 1
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
.AIIgnore API Rules
SPECTRALJSON Schema 4
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
AIIgnoreConfig
JSON SCHEMAAIIgnoreRule
JSON SCHEMAAIToolCompatibility
JSON SCHEMAExclusionPattern
JSON SCHEMAJSON Structure 4
JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.
JSON Structure definitions describing this provider's data shapes.
Aiignore Ai Ignore Config Structure
JSON STRUCTUREAiignore Ai Ignore Rule Structure
JSON STRUCTUREAiignore Ai Tool Compatibility Structure
JSON STRUCTUREAiignore Exclusion Pattern Structure
JSON STRUCTUREExamples 4
Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.
Example request and response payloads for these APIs.
Security Posture 2
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.
Use Cases 5
What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.
What developers build with this provider.
API Key Protection
Exclude .env and config files containing API keys, tokens, and credentials from AI coding tool context.
Proprietary Algorithm Protection
Protect trade secrets and proprietary algorithms from being processed by AI models hosted on third-party infrastructure.
Compliance and Data Privacy
Ensure regulated data (PII, healthcare records, financial data) is not sent to external AI APIs.
Large File Exclusion
Exclude large binary files, build artifacts, and generated files that would waste AI context window.
Third-Party Code Exclusion
Prevent licensed third-party code and vendor directories from being included in AI context.
Integrations 7
Pre-built integrations with other platforms tell you where this provider already fits in a stack.
Pre-built integrations with other platforms and tools.
JetBrains AI Assistant
JetBrains IDEs (IntelliJ, PyCharm, WebStorm, etc.) AI Assistant respects .aiignore in project root.
Cursor AI Editor
Cursor IDE supports .cursorignore (similar concept) for controlling AI context access.
GitHub Copilot
GitHub Copilot supports content exclusion via repository settings and .copilotignore patterns.
Claude Code
Anthropic Claude Code CLI supports .claudeignore file for excluding files from AI context.
Codeium
Codeium AI coding assistant with configurable file exclusion patterns.
Windsurf
Codeium Windsurf AI editor with .windsurfignore support for context control.
Gemini Code Assist
Google Gemini Code Assist with project-level context exclusion configuration.
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Resources
Every other property we hold for .AIIgnore — 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 2
Reference material describing how the API behaves
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
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