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InterAI Risk Oracle

作者:InterAILabs版本 0.1.3-beta.1i★ –i在云端运行
注册名称io.github.InterAILabs/ai-risk-oracle

安装

概览

作者提供的说明(英文原文)

Pre-execution policy gate for consequential agent actions with durable trust receipts.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://api.interailabs.dev/mcp

在终端中运行这条命令

claude mcp add --transport http ai-risk-oracle https://api.interailabs.dev/mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "ai-risk-oracle": {
      "url": "https://api.interailabs.dev/mcp"
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "ai-risk-oracle": {
      "type": "http",
      "url": "https://api.interailabs.dev/mcp"
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://api.interailabs.dev/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 InterAILabs 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    端点有响应

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    使用 OAuth 登录

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32715 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32715 个服务器的 43% 更新
  • 基础检查结果等于或优于此分类中其他 32715 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

InterAI Risk Oracle 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.3-beta.1)于2个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, First Sale Scout

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211前天更新
安装

First Sale Scout

作者:firstsale.pro

Playbooks and a 14-day checklist for founders winning their first paying customers.

在云端运行今天更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

InterAI Risk Oracle

Independent pre-execution decision layer for consequential agent actions.

Before an agent executes, InterAI verifies.

I’m Alejandro Bolognese, building InterAI through InterAI Labs as ongoing work on agent infrastructure, execution control, trust boundaries, and production systems.

Live proof: Action Boundary Lab · Controlled safe demo · Architecture & authority boundary · OpenAPI

InterAI sits between an autonomous agent and a consequential action. The agent proposes what it wants to do; InterAI evaluates the action in context, applies authoritative host/account constraints plus any request-scoped caller constraints, and returns a machine-readable authority decision:

proposed action

| v InterAI | +--> ALLOW +--> REVIEW_REQUIRED +--> BLOCK | v signed trust receipt

The important boundary is not merely can this principal technically perform the action? It is:

Should this specific action execute now, in this context, under this policy?

That makes InterAI complementary to authentication, permissions, spend limits, workflow rules, and domain-specific controls rather than a replacement for them.

Where InterAI Fits

Identity / authentication

"Who is this?" | Permissions / deterministic limits "Can this principal do this class of operation?" | InterAI "Should this exact proposed action execute in this context?" | Execution / escalation / abort

Use InterAI when an agent is about to do something with real consequences: execute a tool, move funds, update production state, approve a workflow, sign a wallet action, send an external message, or trigger another irreversible or costly operation.

Decision Contract

For autonomous execution requests, the primary InterAI authority contract is:

  • recommended_action: allow, review_required, or block
  • policy_result: the authority result under the effective policy
  • policy_violations: explicit policy findings when applicable
  • trust_receipt_id: durable decision evidence
  • execution_intent_digest: deterministic identifier for the exact intent evaluated
  • effective host/account/caller policy provenance in authenticated decision receipts

review_required means the current agent should not execute autonomously under the current policy. Review can be handled by a supervisor agent, policy system, governance queue, wallet rule, or human operator.

Exact-action binding

For executable pilot authorization, the host constructs the trusted action envelope interai-canonical-action/v1 and the host-attested execution context interai-host-execution-context/v1. InterAI returns a CanonicalExecutionIntent (interai-canonical-execution-intent/v2), execution_intent_digest, and—only for an authenticated allow—an ExecutionAuthorization (interai-execution-authorization/v1). The host must verify the receipt, rebuild the final invocation immediately before the side effect, recompute the canonical digest, validate the authorization, and fail closed on any mismatch. A change to tool, arguments, authoritative actor, run, workspace, environment, resource/destination, or relevant policy invalidates the earlier allow and requires a new decision. review_required and block are non-authorizing.

Execution authorization is single-use and short lived: 1–300 seconds, 60 seconds by default. InterAI does not provide universal distributed replay prevention across external runtimes; the host must atomically and durably consume the authorization when that guarantee is required.

If review changes the action, it is a new proposed intent. In Pydantic AI: proposal → review/override → final validation → InterAI → exact-intent check → execute; apply ToolApproved.override_args before final validation and InterAI.

The current hosted beta also returns score, risk_level, and machine-readable signals. Those fields remain part of the current compatibility surface and are useful for diagnostics and existing integrations, but they should not be interpreted as the fundamental authority contract. The execution boundary is the final allow / review_required / block decision under effective policy.

Policy authority boundary

Hosted authenticated autonomous execution composes policy in strict authority order:

HOST -> ACCOUNT -> CALLER -> EFFECTIVE
  • Host policy is an InterAI-controlled irreducible floor.
  • Account policy is a versioned profile stored outside the action request and attached only after the bearer credential resolves to its account.
  • Caller policy can add request-scoped restrictions but cannot weaken host or account requirements.
  • Effective policy is the stricter composition used for the decision.

Account policy administration is currently an InterAI-administered control plane. This is not yet customer self-service policy management, delegated tenant administration, or an enterprise policy-management product.

Accountless/x402 execution has no account profile to resolve and therefore remains HOST -> CALLER -> EFFECTIVE.

External Evidence

InterAI can accept verifiable assertions produced by external systems without transferring execution authority to those systems.

External evidence. Internal authority.

The provider asserts. InterAI decides authority.

The boundary is deliberate:

external provider

| | signed / verifiable assertion v InterAI parse -> verify -> bind -> record

Current Stage 2 evidence is verified, bound, and recorded as non-authoritative external evidence. It does not change the InterAI execution decision or current compatibility risk signals.

The provider’s verdict remains an assertion, not an InterAI execution instruction. An upstream PASS, CAUTION, or BLOCK does not directly become ALLOW, REVIEW_REQUIRED, or BLOCK inside InterAI.

This separation matters because evidence and authority are different responsibilities. A specialized system may know something valuable about the world without becoming the system that decides whether an autonomous action is authorized to execute.

The current external-evidence boundary is intentionally narrow and non-authoritative. Live reference resolution or any future authority-bearing mode would be a separate trust-boundary decision, not an implicit extension of the current contract.

See docs/external-evidence.md and docs/architecture.md.

Insight ↔ InterAI

Verified interoperability

Insight and InterAI independently implemented and cross-verified interoperability against the frozen external-evidence/v0 rev6 contract. The result demonstrates that a domain-specific provider can produce signed evidence that InterAI independently verifies, binds, and records as non-authoritative external evidence, while preserving the separation between provider assertion and InterAI execution authority.

This is an independently implemented technical interoperability result. It does not imply a production partnership or live production dependency between Insight and InterAI.

Example

{

"use_case": "agent-before-payment", "action": { "type": "payment", "name": "release_vendor_payment", "description": "Release payment to a vendor agent after delivery validation", "amount_usd": 125, "currency": "USD", "irreversible": false, "external_side_effect": true }, "context": { "agent_id": "agent_123", "environment": "production", "counterparty_id": "vendor_agent_456", "user_confirmation": false }, "policy": { "require_trust_receipt": true, "amount_usd_limit": 500 } }

Possible authority result:

{

"request_contract": "autonomous_execution", "recommended_action": "allow", "policy_result": "allow", "execution_intent_digest": "sha256-hex-digest", "trust_receipt_id": "tr_01JZPUBLICEXAMPLE" }

The hosted beta currently includes additional compatibility fields such as score and risk_level; they are omitted above to keep the execution-authority boundary clear.

The calling system then decides how to honor that authority decision:

ALLOW             -> verify receipt + exact intent + authorization, then execute

REVIEW_REQUIRED -> route / pause / escalate BLOCK -> abort

InterAI does not execute the action. The surrounding execution layer must route on the decision and enforce the final exact-intent comparison.

Try The Hosted Beta

Action Boundary Lab — change the proposed action and inspect the real pre-execution decision boundary:

https://api.interailabs.dev/lab

Controlled safe demo — one limited read-only sandbox verification with a real trust receipt:

https://api.interailabs.dev/demo

Hosted verification:

curl -sS -X POST https://api.interailabs.dev/verify \

-H "Authorization: Bearer " \ -H "Content-Type: application/json" \ -H "X-Idempotency-Key: vendor-payment-001" \ -d '{ "use_case":"agent-before-payment", "action":{"type":"payment","name":"release_vendor_payment","amount_usd":125,"currency":"USD","irreversible":false,"external_side_effect":true}, "context":{"environment":"production","counterparty_id":"vendor_agent_456","user_confirmation":false}, "policy":{"require_trust_receipt":true,"amount_usd_limit":500} }'

Trust Receipts

Every consequential decision can produce a durable trust receipt. Receipts are designed to make pre-execution decisions inspectable and transportable across retries, handoffs, governance systems, and later audits.

Authenticated autonomous DecisionReceipts bind policy provenance and execution_intent_digest. An ExecutionReceipt is separate host/runtime evidence about dispatch or outcome. A DecisionReceipt is evidence of a decision, not a bearer token or proof that a side effect occurred.

Current receipt signatures use HMAC-SHA256 and are service-verifiable by InterAI. That provides authenticated service-side integrity; it is not the same guarantee as an independently verifiable public-key signature that a third party can validate offline without InterAI.

A receipt proves what the signed receipt payload authenticates at that point in time. It does not prove that an underlying claim is universally true and does not replace domain-specific controls or human review where those are required.

See docs/trust-receipts.md.

Open Source Tools

The public repo contains small framework-neutral tools under toolkit/. They are licensed separately under Apache-2.0 and remain intentionally separate from the proprietary Risk Oracle decision engine:

  • Agent Action Gate — fail closed on provider uncertainty and execute only an unambiguous allow.
  • Exact Action Binding — deterministic host-side mutation detection for JSON-compatible proposed actions.
  • Decision Receipts — consume owner-authenticated signed evidence, assert an exact execution-intent digest, and use InterAI's service-verification endpoint without reserializing the opaque signed payload.

Run the standalone public contracts with no package install:

node --test toolkit/*/*.test.mjs

These tools expose integration/enforcement logic only. Production verification, scoring, native decision policy, billing/storage, signing internals, trust intelligence and operational systems remain private. See the public tool boundary.

InterAI uses a hub-and-satellites model: this repository remains the Risk Oracle product/contracts/SDK hub, while selecte

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