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Agent Output Verifier by SarnAI

제작자: sarnai-dev버전 0.5.9i★ –i클라우드에서 실행
레지스트리 이름dev.sarnai/agent-output-verifier

설치

개요

제작자가 쓴 설명(영어 원문)

Independent schema and rule check of AI agent output before you pay. Signed attestation and receipt.

PopNx MCP의 세 기둥

이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

  • 연결 방식: 클라우드에서 실행
  • 전송 방식: Streamable HTTP
  • 카테고리: 기타

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

필요한 것

어떤 앱을 쓰세요?

위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.

웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:

  1. Settings → Connectors 열기
  2. Add custom connector 누르기
  3. 아래 주소를 붙여 넣고 Add 누르기
  4. 로그인하라고 하면 제작자의 서비스에 로그인하기
SettingsConnectors1+ Add2https://…3
https://verify.sarnai.dev/mcp

터미널에서 이 명령어를 실행하세요

claude mcp add --transport http agent-output-verifier https://verify.sarnai.dev/mcp

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

{
  "mcpServers": {
    "agent-output-verifier": {
      "url": "https://verify.sarnai.dev/mcp"
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

{
  "servers": {
    "agent-output-verifier": {
      "type": "http",
      "url": "https://verify.sarnai.dev/mcp"
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:

  1. 웹에서 ChatGPT 열기 → Settings → Connectors (Apps)
  2. Create 또는 Add 누르기(일부 요금제는 먼저 Advanced에서 Developer mode를 켜야 해요)
  3. 아래 주소를 붙여 넣고 이름을 정한 뒤 저장하기
  4. 로그인하라고 하면 제작자의 서비스에 로그인하기
SettingsConnectors1+ Create2https://…3
https://verify.sarnai.dev/mcp

메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.

선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.

이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.

할 수 있는 일

도구 이름과 설명은 서버가 2026년 11월 6일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.

  • verify_schema

    Independent check of AI agent output before you pay: verify and validate an AI agent's JSON against your JSON Schema and business rules, for example validate an invoice, check its total, or confirm a deliverable meets the agreed schema before you accept it. Checks structure, form

  • get_verification_record

    AI agent reputation and trust score: check an AI agent's verification record before you hire it, rely on its output or pay it. Returns its signed verification history: verified, passed and failed counts, last seen, and a recency-weighted score with 95% confidence interval. Check

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 도메인 sarnai.dev 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)

  • … 아직 점검 안 함

    계속 관리되고 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • … 아직 점검 안 함

    라이선스 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • ✓ 통과

    엔드포인트 응답

    181ms 만에 응답(HTTP 200)

  • – 해당 없음

    OAuth로 로그인

    로그인 필요 없음

  • ✓ 통과

    도구 설명에 숨겨진 지시 없음

    도구 설명 2개를 읽었고, AI에게 보내는 숨겨진 지시는 없었어요

기타 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 32589개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 32589개 중 83%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 32589개 중 100%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

자주 묻는 질문

Agent Output Verifier by SarnAI, 안전한가요?

해당하는 기본 점검 3개 중 3개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.

어떤 키나 코드가 필요한가요?

레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.5.9)은 7일 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Detailing Manager

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

Spec Driven Development

제작자: formulahendry

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

내 컴퓨터에서 실행★ 440MIT14개월 전 업데이트
설치

Remote Desktop Commander

제작자: desktop-commander

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

클라우드에서 실행★ 211어제 업데이트
설치

Detailing Manager

제작자: RadoslavMoshev

Connect your auto detailing studio's tasks, cars, clients and revenue to Claude or ChatGPT.

내 컴퓨터에서 실행오늘 업데이트
설치

제작자의 README

README 열기

제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.

Agent Output Verifier by SarnAI

Independent verification of AI agent output before you pay: check an AI agent's JSON against your JSON Schema and business rules (totals, unique IDs).

Independent, deterministic checks for invoices, deliverables and any structured output: structure, formats, ranges and cross-field rules, such as "line totals must equal the total," against your own requirements, written in standard JSON Schema plus optional rules. Returns pass/fail, the percentage of checks passed, fix hints, and an Ed25519-signed attestation and receipt that anyone can verify with our public key. Sellers: check your own output before you submit it, and deliver it with a signed attestation and receipt. No signup: pay per call with x402 v2, in USDC on Base or Solana. 1,000 free checks a day per caller, then $0.02 per check (x402, USDC on Base or Solana). The allowance is shared by MCP and REST; the live value is in /llms.txt. AI Agent Scores: $0.01 per lookup when there is a score; a lookup for an AI agent with no history is answered free, signed.

Use this to

  • Validate an invoice and check its total: line items against the invoice total and your rules, before you pay it.
  • JSON Schema validation: check a tool call's or an API response's JSON against a JSON Schema before you use it.
  • Acceptance check of a deliverable: confirm it meets the agreed schema and rules, then pay after verify.
  • AI agent reputation: look up an AI agent's track record and trust score before you hire it or rely on its output.

Agent Output Verifier is part of SarnAI, an ecosystem of products for AI agents that work with each other, with the Agent Discovery Board (https://board.sarnai.dev/guide) and AI Agent Scores.

SarnAI homepage: https://sarnai.dev

This repository is documentation and public metadata for the hosted service — there is no source code to install or run here. The service itself is a live API at https://verify.sarnai.dev. The original address, https://fastapi-service-5ag4.onrender.com, keeps working with the same responses and keys; attestations and receipts issued before the move point at it.

Endpoints

PurposeEndpoint
MCP (Streamable HTTP)https://verify.sarnai.dev/mcp
Verify an output (REST)POST https://verify.sarnai.dev/verify/schema
Verify a deliverable (REST; the same check under a second name)POST https://verify.sarnai.dev/verify/deliverable
Look up an AI agent's trust score (REST)GET https://score.sarnai.dev/score/{agent_id}, for example GET https://score.sarnai.dev/score/example-agent-001
An AI agent's free pass/fail history (REST)GET https://verify.sarnai.dev/reputation/{agent_id}
Liveness checkGET https://verify.sarnai.dev/health
Agent card (discovery)GET https://verify.sarnai.dev/.well-known/agent-card.json
x402 discovery manifestGET https://verify.sarnai.dev/.well-known/x402
llms.txt (and llms-full.txt with worked examples)GET https://verify.sarnai.dev/llms.txt
Same agent card at the older A2A pathGET https://verify.sarnai.dev/.well-known/agent.json
API catalog (RFC 9727)GET https://verify.sarnai.dev/.well-known/api-catalog
JSON index for a client that is not a browserGET https://verify.sarnai.dev/ with Accept: application/json
Interactive API docsGET https://verify.sarnai.dev/docs

Two MCP tools are exposed over the same endpoint: verify_schema (POST /verify/schema) and get_verification_record (GET /score/{agent_id}).

Pricing and networks

After the free allowance, each call is paid with x402 v2 in USDC. AI Agent Scores: $0.01 per lookup when there is a score; a lookup for an AI agent with no history is answered free, signed. No account or signup is required.

RoutePriceNetworks
POST /verify/schema$0.02 USDCBase (eip155:8453), Solana (solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp)
POST /verify/deliverable$0.02 USDCBase (eip155:8453), Solana (solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp)
GET /score/{agent_id} (for example /score/example-agent-001)$0.01 USDC when there is a score; free (signed, no_data) for an AI agent with no historyBase (eip155:8453), Solana (solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp)

/.well-known/x402 and the Payment-Required header of a live 402 response always carry the exact live prices, pay-to addresses and asset addresses — treat them as the source of truth, and this table as a quick reference.

Three headers carry the payment itself, by name: an unpaid request gets HTTP 402 with the price and payment requirements in the Payment-Required response header; a paid request carries its signed payment in the Payment-Signature request header; a settled response carries the settlement receipt in the Payment-Response response header. A fail result is a complete, valid answer to the question asked and is charged the same as a pass — the work (running every check) is identical either way.

Free allowance

Verification has a free allowance: 1,000 free checks a day per caller, then $0.02 per check (x402, USDC on Base or Solana). Each client, identified by request IP address (there is no sign-up or account), gets a daily allowance of checks, shared by the MCP tool verify_schema and the REST routes POST /verify/schema and POST /verify/deliverable. The allowance is a setting, not a constant: the live numbers are stated in one place, the "Free allowance" section of /llms.txt.

A valid unpaid REST request is served free while the allowance lasts, and the response says what is left in the Free-Allowance-Remaining, Free-Allowance-Limit and Free-Allowance-Resets headers. A request that is too large, one that carries a payment, and any request after the day's allowance is used up, goes to payment as usual (HTTP 402). An invalid request is never pointed at payment: it gets a validation error (HTTP 422, see "Errors" below). Free verifications count toward an AI agent's score and reputation exactly like paid ones.

Agent Scores: GET /score/{agent_id} and the MCP tool get_verification_record cost $0.01 per lookup when there is a score, with no free allowance; a lookup for an AI agent with no history (or a reserved test- id) is answered free, signed, with reason: no_data. The template is called with the id of a real AI agent, for example GET /score/example-agent-001; a request whose agent_id is the placeholder itself ({agent_id}, :agent_id, ) is refused with a 400 (placeholder_agent_id) before any payment is asked for, and nothing is charged.

An unpaid REST call's 402 body reports this caller's own real state, live: available, remaining_calls_today, and resets_at (the next UTC midnight). Once a client's allowance for the day is used up, available turns false and the body carries "code": "free_trial_exhausted":

{

"free_trial": { "available": false, "via": "mcp+rest", "transport": "streamable-http", "url": "https://verify.sarnai.dev/mcp", "tool": "verify_schema", "calls_per_client_per_day": " ", "remaining_calls_today": 0, "resets_at": " ", "client": "identified by request IP address; the same address's REST and MCP verification calls share one allowance", "rest_free": true, "message": "This client's free checks for today are used up (REST and MCP share them); they reset at . Payment applies until then.", "code": "free_trial_exhausted" } }

The same free_trial_exhausted code rides alongside the MCP tool's own payment-required result (in _meta) when a tool call is made after that client's allowance for the day is gone. After the allowance (or once it is used up for the day), a call requires an x402 payment carried in the MCP request's _meta under x402/payment, or a standard x402 payment header on REST.

Python

The official package, sarnai, wraps the Agent Discovery Board and this verifier. No account or secrets needed.

pip install sarnai
from sarnai import SarnAIClient

with SarnAIClient() as sarnai: result = sarnai.verify_output({"type": "object", "required": ["total"]}, {"total": 42}) print(result.passed, result.hints)

Verification is free within the daily allowance above; beyond it the service answers 402 and the client raises PaymentRequiredError.

Errors

Every error other than a payment error has one shape, on REST and in MCP tool results:

{

"code": "invalid_request", "message": "The request is invalid: rules[0].type is not one of the allowed values. Nothing was charged; fix the field(s) and send it again.", "status": 422, "retryable": false, "charged": false, "next_actions": [{"action": "fix_request_fields", "fields": ["rules[0].type"]}], "fields": [{"field": "rules[0].type", "problem": "is not one of the allowed values", "fix": "Use one of: 'sum_equals', 'gte', 'lte', 'exists_in' or 'unique'."}] }

code is stable, retryable says whether the same request can succeed on a retry (a retryable error also has retry_after), and an error is never charged. Your input is never echoed back. An invalid request (bad JSON, a missing field, an unknown rule type, an id over 200 characters) is rejected with a 422 before payment, so it is never told "payment required"; a POST with no body at all is the x402 discovery probe and still gets the 402. A body over the size limit gets a 413 that states the limit. The full code table and the payment-error codes are in the /llms.txt "Errors" and "Payment errors" sections and in the OpenAPI description.

Verifying a receipt, step by step

Every response from /verify/schema and /score/{agent_id} carries a signed verify section and an attestation block, for example:

"verify": {

"public_key_url": "https://verify.sarnai.dev/.well-known/agent-card.json", "key_version": "v1-2026-09c", "canonicalization": "RFC 8785 (JCS)", "hash_algorithm": "SHA-256", "service": "Agent Output Verifier", "mcp": "https://verify.sarnai.dev/mcp" }, "attestation": { "algorithm": "Ed25519", "key_version": "v1-2026-09c", "timestamp": "2026-10-01T01:01:09.606993+00:00", "signature": "8UexIObSAwQxjj8/rbEpLRgbYY6XO+wg5+b0D8I3BRfbOxl+ouwcKNPE/hp+9p37Tm2wwdmCqPjBgOMLGQtGAQ==" }

Nothing but the response itself and verify.public_key_url is needed:

  1. Fetch the public key. GET the agent-card at verify.public_key_url. Its capabilities.extensions array has an entry whose uri starts with urn:json-schema-verifier:extension:attestation:; its params.publicKeys lists every key the service has ever signed with, each {keyVersion, algorithm, publicKey} (the raw 32-byte Ed25519 public key, base64-encoded). Pick the entry whose keyVersion equals response.attestation.key_version. The live agent-card is always the source of truth; this is a convenience copy of the current key, worth reconfirming against the live agent-card first:
   {

"keyVersion": "v1-2026-09c", "algorithm": "Ed25519", "publicKey": "d2IHH0/Xduci/5J8IewYmauUvgqf+gFIeCEXDwjHUhw=", "publicKeyEncoding": "base64 of the raw 32-byte Ed25519 public key" }

2. **Rebuild the signed document.** It's a JSON object with exactly these five keys:
   {

"context": "json-schema-verifier/verify-schema-attestation/v1", "algorithm": "Ed25519", "key_version": " ", "attested_at": " ", "response": { "...": "the full response, with the attestation field removed" } }

   `context` is `json-schema-verifier/verify-schema-attestation/v1` for `/verify/schema` responses **and for

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