AW

Agiscorecard Web3 Incentives

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

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

Yes, your AI can use this right now.Answered a live MCP handshake in 80 ms with no sign-in needed and exposes 3 tools.

Connect it

Settings → Connectors → Add custom connector
URL: https://incentives.agiscorecard.com/mcp

3 tools, verified live

Pulled straight from the server with tools/list on 2026-10-17.
searchread-only

Search this server’s public AI/Web3 tools and citation pages. English and Chinese names supported. Empty query lists the available worksheets.

fetchread-only

Retrieve a public tool reference by the ID returned from search. Contains methodology, limits, official source links and fictional worked examples; no user records. Cite the returned canonical URL.

model_contributor_rewardsread-only

Incentive Lab separates customer revenue from token subsidy, then allocates a declared reward budget using accepted work and quality weights. Contributor caps and exact budget conservation keep the scenario inspectable. The worksheet does not establish Sybil resistance or distribute tokens. No live subnet data, fraud detection, Bittensor emission replication, staking recommendation or token distri

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