agiscorecard-web3-workbench

Reviewed 1d ago.

• tools: 12 tools scanned
• metadata: scanned

No findings.

Tools (12)

• search

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

• fetch

  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.

• reconcile_stablecoin_records

  Stable Reconcile compares your declared invoices with recorded stablecoin transfers. It separates partial payments, pending transfers and wrong-network records, with exact decimal totals. Use it for a local exception review before updating your books. No wallet sync, automatic matching, FX, refund processing, tax accounting or independent finality checks. Retrieve reconcile with fetch or read its example resource to obtain exact inputs. Parameters are processed remotely without application persistence.

• review_agent_evidence

  Agent Evidence reviews imported task outcomes within one task, version and date window. It deduplicates sample labels and shows failures, exclusions and uncertainty. It helps review a supplier comparison; it does not run evaluations or verify reviewer identities. No public reputation ranking, identity verification, calibrated prediction or Sybil detection. Retrieve evidence with fetch or read its example resource to obtain exact inputs. Parameters are processed remotely without application persistence.

• plan_fallback_routes

  Route Lab compares short supplier sequences using entered cost, success and latency assumptions. It checks the worst-case total against your budget before sorting feasible options by expected cost. It is an offline planning tool; no model or payment is called. Offline planning only. No live requests, model judge, payment, dynamic bandit or production routing. Retrieve route with fetch or read its example resource to obtain exact inputs. Parameters are processed remotely without application persistence.

• read_protocol_profiles

  Protocol Ledger is a free, dated reference for five payment, agent-identity and token interfaces. Each record preserves its official specification, review date and interpretation limits. Filter the same snapshot in the browser or retrieve it through the JSON API. Five initial profiles; no market prices, exhaustive schema coverage, real-time protocol monitoring or paid endpoint. Retrieve protocol with fetch or read its example resource to obtain exact inputs. Parameters are processed remotely without application persistence.

• check_data_permissions

  Data Permit compares an intended AI use with your recorded grant conditions: region, expiry, revocation and consent status. It calculates a proposed split of received revenue and keeps incompatible shares unallocated. Matching fields does not establish a legal license. No legal opinion, rights verification, consent collection, access enforcement, token issuance or payment. Retrieve permit with fetch or read its example resource to obtain exact inputs. Parameters are processed remotely without application persistence.

• compare_compute_costs

  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 or read its example resource to obtain exact inputs. Parameters are processed remotely without application persistence.

• model_contributor_rewards

  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 distribution. Retrieve incentives with fetch or read its example resource to obtain exact inputs. Parameters are processed remotely without application persistence.

• plan_zkml_costs

  Proof Plan estimates proving compute and onchain verification costs from your own measurements. It checks a per-job latency target and preserves model, input and verification-key hashes. It plans an integration; it does not generate or verify a zero-knowledge proof. No ZK proof generation or cryptographic verification. File hashing verifies bytes only; it is not proof of model correctness. Retrieve proof with fetch or read its example resource to obtain exact inputs. Parameters are processed remotely without application persistence.

• decode_token_call

  Call Lens decodes supported token-call shapes locally and compares the recipient, spender and atomic amount with your expectations. It distinguishes ERC-20 allowances from ERC-721 token IDs using the declared standard. It never connects a wallet or evaluates contract safety. No chain simulation, malicious-contract detection, token identity lookup, balance inspection or safety verdict. Retrieve calls with fetch or read its example resource to obtain exact inputs. Parameters are processed remotely without application persistence.

• compare_rwa_disclosures

  RWA Notes compares two sets of supplied asset disclosure fields while retaining units, dates and source references. It flags missing values and incompatible comparisons. It does not verify reserves, issuer solvency or redemption rights. No live asset feed, reserve audit, redemption verification, credit rating or investment recommendation. Retrieve disclosures with fetch or read its example resource to obtain exact inputs. Parameters are processed remotely without application persistence.