Agentic Services

MCP serverDev tools

Paid claim verification with cited web evidence, source provenance, snapshots, and hashes.

Available today. Use it from your connected AI after setup.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use Agentic Services to list verification tiers

Install Agentic Services

The server’s own address, for the clients that take one directly. Or connect ahel once and every client you use reads it from one address, with the account kept on ahel rather than in each client’s config.

  • Claude Code

    claude mcp add --transport http --scope user agentic-services 'https://api.aisoup.net/mcp'

    Run it once in your project, then open /mcp to approve any sign-in the server asks for.

  • Claude Desktop

    https://api.aisoup.net/mcp

    Add a custom connector in Settings, paste this address, and approve the sign-in.

  • Cursor

    cursor://anysphere.cursor-deeplink/mcp/install?name=agentic-services&config=eyJ1cmwiOiJodHRwczovL2FwaS5haXNvdXAubmV0L21jcCJ9

    Open the link and Cursor adds the server at that address.

  • ChatGPT

    https://api.aisoup.net/mcp

    In Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.

  • Codex

    codex mcp add agentic-services --url 'https://api.aisoup.net/mcp'

    Run it once, then sign in with codex mcp login agentic-services if the server asks for an account.

From the project's README

As published by impanyu/agentic_services in README.md.

Agentic Services is a service matrix for autonomous agents. Each service exposes a narrow, valuable information capability that an external agent can discover, evaluate, purchase, and call without manual account setup.

The platform treats APIs, MCP tools, agent-to-agent services, software runtimes, and databases as different transports for the same commercial object: an agent service.

Product contract

Every published service must provide:

  1. A machine-readable description of its capabilities and input/output schemas.
  2. At least one callable transport: HTTP, MCP, or A2A.
  3. A deterministic price or a machine-readable quote flow.
  4. At least one automated payment method.
  5. Provenance, freshness, service-level, and policy metadata.
  6. An idempotent execution path and a verifiable receipt.

The canonical public manifest lives at:

https://<service-host>/.well-known/agent-service.json

The same manifest can be indexed by the platform registry and exported to compatible discovery networks.

Repository layout

docs/                         Product and system design
examples/                     Example service manifests
schemas/                      Versioned protocol schemas
services/                     Product-specific documentation
src/agentic_services/         Runnable gateway and Web Evidence API
tests/                        API contract and safety tests

The initial protocol is defined by schemas/service-manifest.schema.json. An illustrative service is in examples/weather-risk.service.json.

Architecture

The platform has four layers:

  • Service layer — focused information products owned by individual service modules.
  • Gateway layer — identity, quotes, payment verification, rate limits, and receipts.
  • Registry layer — capability search, health, reputation, and machine-readable manifests.
  • Settlement layer — adapters for pay-per-call, credits, and subscriptions.

See docs/architecture.md for the execution flow and docs/roadmap.md for the build sequence.

Design principles

  • Protocol-first: an agent can integrate from schemas without reading prose.
  • Narrow services: each service owns a small domain and returns a useful result, not raw data alone.
  • Payment-neutral core: commercial terms are stable while payment rails remain replaceable.
  • Verifiable delivery: every paid execution produces a receipt tied to the request, price, and result.
  • Safe autonomy: budgets, expiry, replay protection, and idempotency are enforced in deterministic code.
  • Federated discovery: the platform registry is useful but is not the only way to find a service.

Run Web Evidence locally

The first runnable service is Web Evidence, a structured claim-verification API backed by the OpenAI Responses API and hosted web search.

python3 -m venv .venv
.venv/bin/pip install -e '.[dev]'
cp .env.example .env.local
# Add OPENAI_API_KEY to .env.local
.venv/bin/agentic-services

The API starts at http://localhost:8000. Its main endpoints are:

  • POST /v1/claims/verify/quick — $0.02 quick verification.
  • POST /v1/claims/verify — $0.05 standard verification.
  • POST /v1/claims/verify/deep — $0.12 deep verification.
  • POST /v1/claims/verify/research — $0.25 research-grade verification.
  • GET /v1/claims/verifications/{verification_id} — retrieve the immutable result.
  • GET /v1/url-snapshots/{snapshot_id} — retrieve snapshot status and content hashes.
  • GET /v1/url-snapshots/{snapshot_id}/content — retrieve the exact captured response bytes.
  • GET /.well-known/agent-service.json — discover the service and its schemas.
  • GET /.well-known/x402 — discover x402-payable resource URLs.
  • POST /mcp — MCP Streamable HTTP server with one free discovery tool and four x402-paid verification tools.
  • GET /.well-known/mcp/server.json — MCP Registry metadata.
  • POST /a2a — A2A 1.0 JSON-RPC SendMessage, paid at the Standard tier.
  • GET /.well-known/agent-card.json — A2A Agent Card.
  • GET /openapi.json — inspect the complete HTTP contract.
  • GET /llms.txt — read concise agent integration instructions.
  • GET / — human-readable landing page with structured data; robots.txt and sitemap.xml support web indexing.

Example request:

curl http://localhost:8000/v1/claims/verify \
  -H 'Content-Type: application/json' \
  -H 'Idempotency-Key: example-claim-1' \
  -d '{
    "claim": "OpenAI publishes an official Responses API reference.",
    "sourcePolicy": "official_only",
    "allowedDomains": ["openai.com"],
    "minimumSources": 1
  }'

See docs/web-evidence-api.md for request semantics, evidence guarantees, and the planned paid-service endpoints.

For the production Docker Compose deployment at api.aisoup.net, follow deploy/google-cloud-vm.md. The public gateway accepts both x402 and MPP payments in Base USDC; the Python service remains private behind an internal Bearer credential.

Status

The repository contains the v0 protocol, a runnable tiered Web Evidence service, full provider-source provenance, URL snapshots with raw and normalized SHA-256 hashes, SQLite persistence, machine-readable discovery, and an x402/MPP dual-protocol payment gateway. Production payment settlement has been verified; the next milestone is broader external catalog indexing and additional evidence operations.

Tools it offers (5)

What this server listed when ahel dialed its public endpoint in Oct 2026, with no key and no account of yours. The names are the server’s own.

  • list_verification_tiers
  • verify_claim_quick
  • verify_claim
  • verify_claim_deep
  • verify_claim_research

Signals

Last commit
Sep 2026
Advanced
Delivery
web-evidence MCP server → your ahel connector (mcp.ahel.ai) → your AI.
Item type
mcp-server
Key
io-github-impanyu-web-evidence
Source
github.com/impanyu/agentic_services
Hosted endpoint
https://api.aisoup.net/mcp