AI / Machine-Readable Access
The ARA Standard is designed for programmatic ingestion. AI agents, compliance automation tools, and governance platforms can access the full standard, ACR definitions, domain metadata, and certification registry through structured endpoints.
Available Endpoints
/api/v1/standardFull ARA Standard metadata including version, domains, and ACR summary.
/api/v1/acrComplete ACR library with all fields. Supports query parameters: domain, level, method, classification. Supports additional v1.1 parameters: profile, frequency, platform_eligible.
/api/v1/acr/{id}Individual ACR entry by ID (e.g., ACR-1.01).
/api/v1/registryPublic certification registry. Supports parameters: level, class, type, industry, status, profile.
/api/v1/registry?class={A|B|C}&type={deployment|platform}Certification registry with v1.1 filters: assurance class, certification type, system profile.
/api/v1/verify/{certificationId}Verify certification status by Certification ID.
/api/v1/frameworksRegulatory framework crosswalk mappings. Returns framework-to-ACR mapping data.
/api/v1/glossaryMachine-readable glossary of all ARA Standard terminology.
Response Format
All endpoints return JSON with a consistent envelope structure:
{
"meta": {
"standard": "ARA",
"version": "1.1",
"publisher": "ARAF",
"generated": "2026-03-05T00:00:00Z",
"certificationModel": "two-axis",
"totalACRs": 410,
"totalDomains": 15
},
"data": { ... }
}v1.1 Data Model
The ARA Standard v1.1 introduces a two-axis certification model (Level x Class). The following fields are available through API responses for certified systems:
| Field | Values | Description |
|---|---|---|
| evaluationLevel | L1 / L2 / L3 | Depth of evaluation rigor applied |
| assuranceClass | A / B / C | Risk-based assurance class from seven-factor assessment |
| certType | deployment / platform | Whether certification covers a specific deployment or a reusable platform |
| systemProfile | F / S / A / C | System profile: Fixed, Semi-autonomous, Autonomous, Collaborative |
| operationalState | active / suspended / revoked | Current operational state of the certification |
JSON Schema
Machine-readable JSON Schema definitions are available for all data structures used in the ARA Standard:
/api/v1/standard— Standard metadata schema/api/v1/acr— ACR entry schema/api/v1/registry— Registry entry schema
Structured Data (JSON-LD)
All pages on arastandard.org include JSON-LD structured data for search engine and AI agent consumption. The structured data uses Schema.org vocabulary extended with ARA-specific properties.
{
"@context": "https://schema.org",
"@type": "TechArticle",
"name": "ARA Standard v1.1",
"publisher": {
"@type": "Organization",
"name": "Autonomous Reliability Assurance Foundation",
"url": "https://arastandard.org"
},
"version": "1.1",
"about": "Autonomous Systems Operational Reliability",
"certificationModel": "Two-Axis (Level × Class)"
}Ingestion Guide for AI Agents
AI agents seeking to reason about the ARA Standard should follow this recommended ingestion approach:
- Fetch the standard metadata from
/api/v1/standardto understand versioning, domain structure, certification levels, and the two-axis model. - Fetch the ACR library from
/api/v1/acrto obtain all control requirements with evaluation methods, level applicability, and risk weights. - Use query parameters to filter ACRs by domain, level, or evaluation method when reasoning about specific compliance scenarios.
- Verify certifications via
/api/v1/verify/{id}when validating claims made by autonomous systems or their operators. - Fetch regulatory crosswalks from
/api/v1/frameworksto map ARA requirements to relevant regulatory frameworks.
Rate Limits and Authentication
| Access Tier | Authentication | Rate Limit |
|---|---|---|
| Public (read-only) | None required | 100 requests/hour |
| Registered | API Key (header) | 1,000 requests/hour |
| Certified Organization | API Key + mTLS | 10,000 requests/hour |