find_service
Search the AgentIndex registry for x402 services matching a capability, e.g. "weather data" or "token prices". Returns matching services with endpoints, prices and their probed trust scores.
needrequired
io.github.cognivisPublished by GitHub account cognivisv0.2.0Updated Oct 24, 2026
Trust scores and on-chain payment receipts for x402 services.
The publisher's own server: AgentIndex
A remote MCP server that lets an assistant find paid x402 data services, check their trust scores and on-chain payment evidence, and fetch data from the most-t
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/io.github.cognivis%2Fagentindex/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Add this to your client's mcpServers config.
{
"mcpServers": {
"agentindex": {
"type": "http",
"url": "https://mcp-agentindex.craftyour.site/mcp"
}
}
}AgentIndex shows AI agents which paid services are honest and which scam, with proof on-chain.
Live app · Demo video · Evidence · MCP server · Subgraph
AI agents can now discover an API and pay it automatically over x402. The payment receipt proves that money moved, but it does not prove that the API returned complete or correct data.
AgentIndex fills that gap. It pays x402 services like a normal customer, checks what they return, and publishes a trust score that another agent can inspect before spending money.
Trust from receipts, not reviews.
[AgentIndex playground where an agent checks which x402 service to trust before paying]
Ask the index who to pay before the agent spends.
Imagine an agent needs weather data and finds two paid APIs:
weatherpro costs a little more and reliably returns the fields it promises.scamco is cheaper, accepts payment, and often returns empty or incomplete data.A directory can show that both services exist. Usage counts can show which one is popular. Neither tells the agent whether the response is actually trustworthy.
AgentIndex makes the request itself, pays the service, checks the response against the service's published promise, and keeps the payment and verification evidence. The agent can then choose weatherpro and avoid scamco for a reason it can verify.
agentindex.eth and stores its endpoint, price, method, and response specification in ENS text records.[The five-step AgentIndex flow from ENS registration to an MCP trust query]
The live site explains each step and links to its on-chain proof.
AgentIndex works like a credit bureau for paid APIs. Each sponsor provides a part that the system cannot work without.
AgentIndex uses two Graph products in the same trust-checking flow.
For objective price APIs, the prober compares the paid response with live market data from The Graph Token API. A response can match the expected JSON format and still be dishonest; the oracle check catches prices that look valid but are wrong.
The verdict is then written on-chain. Our deployed subgraph indexes service registrations and probe attestations, excludes invalid auditor-input records, and calculates delivery, honesty, average latency, and a final trust score. The MCP server uses those indexed results to tell an agent who to pay and why.
This is not a dashboard-only integration:
SKILL.md make those scores reusable by other agents.Relevant code:
Hedera is the main payment rail for the seeded index. The autonomous prober pays all six services with real HBAR on Hedera testnet through the Blocky402 facilitator before it rates their responses.
The payment flow is built with fund safety in mind:
Relevant code:
ENSv2 is the actual service registry, not just a display name. Every rated provider receives a revocable subname under agentindex.eth, such as weatherpro.agentindex.eth.
Each service publishes its manifest through ENS text records:
urldescriptionx402:methodx402:pricex402:specThe prober reads these records before making a payment, so the endpoint and the promise being checked come from ENS rather than a private application database. ENSv2 permissions let each provider manage only its own records, while AgentIndex keeps the ability to revoke a subname when a service is caught taking payment and returning bad data.
Relevant code:
AgentIndex applies the strongest check that makes sense for each type of service.
The trust score is calculated in basis points:
For subjective output such as summaries, AgentIndex does not claim to prove that the answer is “good.” It reports delivery, compliance with the published format, latency, and historical behavior. Objective data receives the additional oracle and consensus checks.
The project includes a real paid probe against an external x402 provider, not only services created for the demo.
Earlier probes that used an incorrect request path remain visible as valid=false. They are kept for auditability but excluded from the provider's score, so an auditor mistake does not unfairly damage a service.
The evidence dashboard is backed by the live subgraph, not a static dataset.
The six seeded services are a controlled teaching set used to demonstrate different trust signals.
scamco is intentionally planted. It lets us demonstrate detection without accusing an unrelated real service of fraud.
The public MCP server exposes four tools:
Install the remote server in an MCP-compatible client:
io.github.cognivis/agentindexhttps://mcp-agentindex.craftyour.site/.well-known/mcp.json[Claude Code using AgentIndex MCP tools to recommend weatherpro and warn against scamco]
A real MCP session recommends `weatherpro`, rejects `scamco`, and explains the decision with indexed evidence.
Fill in only the environment variables needed for the component you want to run. Never commit .env or private keys.
Set PAYWALL=off in .env to test without making payments. Run each component in its own terminal:
Run one non-looping probe round:
External Base payments are disabled by default. They require an explicit one-shot run, an approved provider, canonical Base USDC, and the configured round and daily budgets. See the prober guide before enabling them.
Individual TypeScript packages can be checked with:
All contracts in the table are deployed on Sepolia. Hedera payments use Hedera testnet, and the external TickersFeed verification uses Base mainnet.
Today, the demo probes are funded by the AgentIndex operator. A future version could let providers fund recurring independent probes, while agents pay a small x402 fee when they request a fresh trust report. Payments would cover verification costs only—they would never buy a better score or change the result of a probe.
Production runs through Docker Compose with Caddy handling HTTPS. The recurring spending worker is kept behind a separate Compose profile so it cannot begin spending during an initial deployment.
See the deployment guide for the production layout and verification commands.
Source: README.md at commit d2d3c17
Search the AgentIndex registry for x402 services matching a capability, e.g. "weather data" or "token prices". Returns matching services with endpoints, prices and their probed trust scores.
needrequiredFull trust report for one service: score, delivery/honesty rates, latency, and recent probes with chain-aware payment receipts. Accepts a label ("weatherpro") or full name ("weatherpro.agentindex.eth").
namerequiredprobesEnd-to-end selection: describe a task, get back the single best service to pay (plus ranked alternatives and any services to avoid). Use this before spending money over x402.
taskrequiredOne call: pick the most-trusted service for a need, fetch the data from it, and return the data together with that provider's trust score and its latest on-chain probe receipt as proof. Use when you want the answer AND a record of why the source was trusted. Scam / low-trust providers are never selected.
needrequired90% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
Declare a license in the repository or the registry entry.
app.agentindexOfficial publisher
AgentIndex lets an assistant search a curated directory of open-source AI agents, MCP servers and AI developer tools, view tool details and trending rankings,

Published by GitHub account agentndx
A remote MCP server that lets an assistant search over 15,000 MCP services, A2A agents and x402 APIs drawn from five registries.
flowchart LR A[Service registers<br/>ENSv2 subname + manifest] --> B[Prober discovers service] B --> C[Real x402 payment<br/>Hedera or Base] C --> D[Response verification<br/>spec + oracle + consensus] D --> E[Verdict attested<br/>on Sepolia] E --> F[The Graph subgraph<br/>builds trust score] F --> G[Agent checks trust<br/>through MCP or API]trust = 0.60 × delivery + 0.25 × honesty + 0.15 × latencynpx add-mcp https://mcp-agentindex.craftyour.site/mcpcorepack enablepnpm installcp .env.example .envpnpm servicespnpm webpnpm --filter @agentindex/mcp httpPAYWALL=off pnpm --filter @agentindex/prober run oncepnpm testpnpm --filter @agentindex/services run typecheckpnpm --filter @agentindex/prober run typecheckpnpm --filter @agentindex/mcp run typecheckpnpm --filter @agentindex/api run typecheckpnpm --filter @agentindex/web run typecheck