Make the next Web3 decision inspectable.
Bring your records, state the assumptions and keep the evidence. These free tools support practical AI and Web3 workflows without a wallet connection.
AI × Web3 工具集：收款对账、任务证据、采购路由、协议数据、数据许可、算力成本、激励实验、zkML 规划、调用解释与披露核对。各工具已经提供可运行的首版功能，范围以各站说明为准。
Choose the task you have today
| Workspace | What you can do | Output |
|---|---|---|
Agent Delivery Lab付费 API 交付检测 | Inspect payment challenge shapes and check responses against your declared rules. | Batch and response reports |
Stable Reconcile稳定币收款对账 | Review invoices against your recorded stablecoin transfers. Keep partial payments, wrong assets and pending transactions visible. | Method, examples & report |
Agent EvidenceAgent 任务证据评测 | Review task-specific agent evaluations with sample deduplication, version boundaries and uncertainty intervals. | Method, examples & report |
Route Lab质量与预算采购路由 | Compare bounded supplier sequences using quality assumptions, worst-case cost and latency constraints. | Method, examples & report |
Protocol Ledger垂直协议数据 API | Retrieve dated payment, identity and token-interface profiles with official links and explicit interpretation limits. | Method, examples & report |
Data PermitAI 数据许可与分成 | Check intended AI use against recorded grants, expiry and regions, then model a revenue split without moving funds. | Method, examples & report |
Compute Lens去中心化算力采购 | Bring measured workloads and account for setup, egress, storage and failed outputs before choosing compute. | Method, examples & report |
Incentive Lab有用工作激励实验 | Model capped rewards for accepted work and see whether customer revenue covers operating costs before token support. | Method, examples & report |
Proof PlanzkML 部署与证据清单 | Plan a zkML handoff with measured proving time, verification cost and a pinned model/input/key manifest. | Method, examples & report |
Call Lens钱包调用解释 | Decode three common token-call shapes offline and compare the recipient, spender and amount with your own expectations. | Method, examples & report |
RWA NotesRWA 披露变化核对 | Compare tokenized-asset disclosures while keeping units, dates, missing fields and original sources attached. | Method, examples & report |
Evidence comes first
Examples are fictional. Your input drives the calculation. A rule match does not establish a payment, legal right, safe contract or true AI answer.
Built for review
Each tool offers a form, JSON input, a visible report and a downloadable offline engine. No account or model subscription is needed. Optional anonymous feedback is separate from your input.