AW

Agiscorecard Web3 Compute

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

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

Yes, your AI can use this right now.Answered a live MCP handshake in 91 ms with no sign-in needed and exposes 3 tools.

Connect it

Settings → Connectors → Add custom connector
URL: https://compute.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.

compare_compute_costsread-only

Compute Lens compares measured workload runs using total entered compute, setup, storage and egress costs per accepted output. It filters mismatched workload labels, currencies, quality and memory limits. All examples are fictional; no live GPU quotes are supplied. No live GPU inventory, automatic benchmarking, reservation, infrastructure management or verified savings. Retrieve compute with fetch

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