How do I connect an AI agent to agiscorecard-web3-incentives?

Use the MCP streamable HTTP endpoint https://incentives.agiscorecard.com/mcp.

Catalog › io.github.f-tiger/agiscorecard-web3-incentives

Is agiscorecard-web3-incentives reliable?

Reliable (measured) Yes. Faceabot measured agiscorecard-web3-incentives 31 times: 100% of checks succeeded, including the last 31 in a row (last check 2026-10-19 17:05 UTC). It also does the job: its real read-only task worked 31 of 31 times.

Last check: 2026-10-19 17:05 UTC · answered in 5995 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

Model contributor rewards with declared quality weights and caps; separate revenue from subsidies.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.7.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "agiscorecard-web3-incentives": {
      "url": "https://incentives.agiscorecard.com/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.f-tiger/agiscorecard-web3-incentives"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Does the job (tested) — Faceabot asked fetch to do a small read-only task 31 time(s): 31 returned a real result, the last 31 in a row. Last result: ok in 3553 ms.

Sample input: {"id":"incentives"}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.

Faceabot measurements

When	Answers	Real task	Latency
2026-10-19 17:05 UTC	✅ ok	✅ done	5995 ms
2026-10-19 02:35 UTC	✅ ok	✅ done	6782 ms
2026-10-18 11:00 UTC	✅ ok	✅ done	5338 ms
2026-10-18 02:20 UTC	✅ ok	✅ done	7253 ms
2026-10-17 18:15 UTC	✅ ok	✅ done	5554 ms
2026-10-17 10:05 UTC	✅ ok	✅ done	6276 ms
2026-10-17 02:15 UTC	✅ ok	✅ done	5920 ms
2026-10-16 18:50 UTC	✅ ok	✅ done	5797 ms
2026-10-16 11:45 UTC	✅ ok	✅ done	6766 ms
2026-10-16 04:51 UTC	✅ ok	✅ done	5021 ms
2026-10-15 21:55 UTC	✅ ok	✅ done	5967 ms
2026-10-15 15:06 UTC	✅ ok	✅ done	3459 ms
2026-10-15 08:21 UTC	✅ ok	✅ done	3464 ms
2026-10-15 01:50 UTC	✅ ok	✅ done	3468 ms
2026-10-14 19:25 UTC	✅ ok	✅ done	5227 ms
2026-10-14 12:55 UTC	✅ ok	✅ done	5263 ms
2026-10-14 06:31 UTC	✅ ok	✅ done	9279 ms
2026-10-13 23:46 UTC	✅ ok	✅ done	7520 ms
2026-10-13 17:40 UTC	✅ ok	✅ done	10080 ms
2026-10-13 11:35 UTC	✅ ok	✅ done	9655 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

Agentic Commerce Tools Flaky · 80% over 5 checks

7 free tools: MCP health scans, AI-readiness scores, llms.txt generator, glossary, indexes.

MCP endpoint : https://mcppulse.agiscorecard.com/mcp · website · measurements and details

agiscorecard-web3-calls Reliable (measured) · 100% over 31 checks Does the job (tested) · 31/31

Decode supported token calls and flag recipient or amount mismatches; no wallet or safety verdict.

MCP endpoint : https://calls.agiscorecard.com/mcp · website · measurements and details

agiscorecard-web3-compute Reliable (measured) · 100% over 31 checks Does the job (tested) · 31/31

Compare GPU workload costs per accepted output, including setup, storage, egress and failed work.

MCP endpoint : https://compute.agiscorecard.com/mcp · website · measurements and details

agiscorecard-web3-disclosures Reliable (measured) · 100% over 31 checks Does the job (tested) · 31/31

Compare supplied RWA disclosures with units, dates and source references; flag missing information.

MCP endpoint : https://disclosures.agiscorecard.com/mcp · website · measurements and details

agiscorecard-web3-evidence Reliable (measured) · 100% over 31 checks Does the job (tested) · 31/31

Review agent task evidence with sample deduplication, version filters and uncertainty intervals.

MCP endpoint : https://evidence.agiscorecard.com/mcp · website · measurements and details

Publisher of agiscorecard-web3-incentives?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/io.github.f-tiger/agiscorecard-web3-incentives.svg)](https://faceabot.com/tools/io.github.f-tiger/agiscorecard-web3-incentives)

Data in JSON: /api/catalog?id=io.github.f-tiger/agiscorecard-web3-incentives · 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

Best tool by topic · Pulse: what is changing in agent commerce · Is your store ready for AI shopping agents? · State of MCP (weekly) · MCP server doctor · Reliability data · Faceabot app · Faceabot → AI assistants · What AI agents cannot find yet · Add Faceabot to your AI · Badge for tool publishers · Help · Privacy · Terms