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Maetra
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Introduction
Getting started
Quickstart
Authentication
Errors & rate limits
Agents
Govern API
Checkpoints
Policies
Decision tokens
Secure API
Rules
Scanning content
Incidents
Task Guard API
Tasks & context
Alignment & effects
MCP server
Overview & connection
Tools reference
End-to-end example
Reference
API reference
API v1
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Introduction
Learn how Maetra adds task alignment, runtime approval checkpoints, decision intelligence, and content scanning to AI agents over REST or MCP.
Overview
Getting started
Authenticate with Maetra, make your first API calls, and understand errors, rate limits, and idempotency.
Getting started
Quickstart
Go from an API key to a live approval checkpoint, decision-intelligence-ready policy evaluation, and content scan.
Getting started
Authentication
Create, scope, verify, and revoke Maetra workspace API keys for REST and MCP integrations.
Getting started
Errors and rate limits
Handle Maetra API errors, rate-limit responses, polling etiquette, and idempotent retries safely.
Getting started
Agents
Use registered or free-text agent identities in Maetra and list the agents available to your workspace.
Agents
Govern API
Route consequential AI agent actions through exact policies, decision intelligence, human approval, and signed decision tokens.
Govern API
Checkpoints
Create checkpoints for exact policies or decision intelligence, follow their lifecycle, and handle terminal outcomes.
Govern API
Policies
List active exact and decision-intelligence policies, and scope checkpoints to policies or policy groups.
Govern API
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Getting started
Authenticate, make your first calls, and learn the error and rate-limit conventions.
Quickstart
Go from an API key to a live approval checkpoint, decision-intelligence-ready policy evaluation, and content scan.
Authentication
Create, scope, verify, and revoke Maetra workspace API keys for REST and MCP integrations.
Errors & rate limits
Handle Maetra API errors, rate-limit responses, polling etiquette, and idempotent retries safely.
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