How do I connect an AI agent to nidhipati — proof of spend for AI agents?

Use the MCP streamable HTTP endpoint https://rta.lat/nidhipati/mcp.

Catalog › io.github.mrpkk/nidhipati

Is nidhipati — proof of spend for AI agents reliable?

Reliable (measured) Yes. Faceabot measured nidhipati — proof of spend for AI agents 5 times: 100% of checks succeeded, including the last 5 in a row (last check 2026-10-27 00:05 UTC).

Last check: 2026-10-27 00:05 UTC · answered in 3096 ms · remote (no install)

En français : Fiable (mesuré). Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Proof-of-spend and reserve checks for AI agents: receipts, spend audit, NAV, reconciliation.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.6.1 · publisher website

Connect your agent

{
  "mcpServers": {
    "nidhipati": {
      "url": "https://rta.lat/nidhipati/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.mrpkk/nidhipati"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Not tested with a real task yet. Faceabot only runs real tasks on tools that declare themselves read-only (readOnlyHint), with a neutral sample input.

Faceabot measurements

When	Answers	Real task	Latency
2026-10-27 00:05 UTC	✅ ok	—	3096 ms
2026-10-26 13:05 UTC	✅ ok	—	3889 ms
2026-10-25 23:16 UTC	✅ ok	—	4461 ms
2026-10-25 08:40 UTC	✅ ok	—	3715 ms
2026-10-24 22:32 UTC	✅ ok	—	6515 ms

Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

More from the same publisher

attest — verification for AI agent artifacts Being measured · 0% over 1 checks

Verify an AI agent artifact: schema, emptiness, provenance and mandate authority, Ed25519-signed.

MCP endpoint : https://attest.rta.lat/mcp · website · measurements and details

drift — mandate enforcement for AI agents Reliable (measured) · 100% over 27 checks Does the job (tested) · 26/27

Block an action a signed mandate does not permit: amount, payee, audience, currency, window, intent.

MCP endpoint : https://drift.rta.lat/mcp · website · measurements and details

Soma — open protocol for agent work Private (key required)

Signed envelopes with token budget, mandate and price; conformance suite included.

MCP endpoint : https://rta.lat/soma-protocol/mcp · website · measurements and details

Publisher of nidhipati — proof of spend for AI agents?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/io.github.mrpkk/nidhipati.svg)](https://faceabot.com/tools/io.github.mrpkk/nidhipati)

Data in JSON: /api/catalog?id=io.github.mrpkk/nidhipati · Stop probes: POST /api/reliability/opt-out

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

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