Policy gate and signed trust receipts for autonomous agent actions.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Centralized policy gate and signed audit receipts for consequential agent actions.
Before an agent executes, InterAI verifies.
InterAI Risk Oracle sits between an autonomous agent and the action it wants to execute: a tool call, payment, wallet signature, database update, workflow approval, trade, or outbound message.
The agent sends the proposed action to InterAI before execution. InterAI returns a risk
score, machine-readable signals, recommended_action, policy_result, and trust
receipt metadata. The agent then executes, routes for review, or aborts based on the
decision, and stores the receipt for audit.
Default self-serve path:
Run the live read-only demo first:
Wire InterAI into your agent before the agent executes a tool or action:
Autonomous systems increasingly call tools, move funds, consume third-party outputs, and trigger workflows without constant human review. A verification layer gives those systems a pre-execution checkpoint: inspect the planned action, evaluate risk, and decide whether to allow, require review, or block execution.
This repository is for public integration materials: SDKs, schemas, examples, OpenAPI, A2A/MCP discovery metadata, and hosted API docs. The production verification engine is hosted and proprietary.
Use the SDKs, schemas, examples, and discovery metadata to integrate with the hosted API. Do not expect to run the production verification engine from this repo.
Use the hosted API. Do not run a local backend from this repository. Start with the guided demo at https://ai-risk-oracle.fly.dev/demo. One click creates a short-lived credential in memory, evaluates a fixed safe action, and opens its public receipt. Then use OpenAPI and the SDK source to integrate the hosted API.
score is a risk score from 0 to 1. Higher values mean higher execution risk.
Trust receipts are durable records of a verification decision. They are designed for agent-to-agent handoff, audit trails, retry safety, and governance systems that need to prove a verification happened before execution.
InterAI is not only for human developers. Autonomous agents, orchestrators, wallet
agents, tool routers, and policy layers can discover InterAI from .well-known metadata
and decide when to use it before execution.
Default agent path:
Default human path:
Email is available for support, security, enterprise access, partnerships, and manual integration help. It is not required as the core self-serve path.
Agent-readable discovery metadata is available in discovery/. These files describe public capabilities, authentication, schemas, and integration surfaces without exposing service internals.
Both packages are prepared for publication and generate idempotency keys by default. Confirm the corresponding registry release before advertising an install command as generally available.
Bearer-billed HTTP verification requires an idempotency key; the SDKs generate
one automatically. For retrying the same business operation, supply the same
stable key. Autonomous actions that omit external_side_effect or
irreversible expose those signals as null and receive at least
review_required rather than being interpreted as safe.
This repository contains public API documentation, SDKs, schemas, examples, and discovery metadata for the hosted InterAI Risk Oracle service. The production verification engine, billing infrastructure, trust logic, scoring system, and hosted service internals are proprietary and not open source.
InterAI Risk Oracle is available through hosted self-serve metadata and API endpoints. Agents and integrators can discover pricing, onboarding, and verification endpoints directly from the hosted API.
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