x402_payment_flow_analyzer
As a CTO, analyze USDC payment flows involving x402 addresses to assess counterparty risk, trace transaction paths, and evaluate regulatory exposure. Input a wallet address or transaction hash to receive risk scores, flow diagrams, and compliance flags from Chainalysis and TRM Labs public APIs. I...
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/x402-payment-flow-analyzer.md
What x402_payment_flow_analyzer does on Mcp Knowledge
AI agents call x402_payment_flow_analyzer to retrieve information from Mcp Knowledge without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
async | boolean | — | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti |
depth | number | — | Hops to trace in payment flow |
txHash | string | — | USDC transaction hash to trace |
address | string | Yes | Ethereum wallet address to analyze |
includeRiskScore | boolean | — | Include counterparty risk scoring |
Parameters from the server's own tool schema.
Why x402_payment_flow_analyzer is rated Low
The tool queries and retrieves blockchain transaction data, risk scores, and compliance flags from external APIs. It is fundamentally a read/analysis operation — it does not move money or create transactions.
From the tool's definition analyze USDC payment flows...assess counterparty risk, trace transaction paths...receive risk scores, flow diagrams, and compliance flags from Chainalysis and TRM Labs public APIs
Attacks that exploit this kind of access
The rule that runs x402_payment_flow_analyzer safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Knowledge, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For x402_payment_flow_analyzer, this is the rule to start with:
x402_payment_flow_analyzer is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Knowledge, apply this rule, and every x402_payment_flow_analyzer call is checked against it from then on.
Questions about x402_payment_flow_analyzer
As a CTO, analyze USDC payment flows involving x402 addresses to assess counterparty risk, trace transaction paths, and evaluate regulatory exposure. Input a wallet address or transaction hash to receive risk scores, flow diagrams, and compliance flags from Chainalysis and TRM Labs public APIs. Ideal for due diligence, fraud detection, and compliance reporting. Pass async:true to avoid timeout. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.
x402_payment_flow_analyzer accepts 5 parameters: async, depth, txHash, address, includeRiskScore. Required: address. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for x402_payment_flow_analyzer: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp Knowledge. Nothing to install.
x402_payment_flow_analyzer is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the x402_payment_flow_analyzer rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for x402_payment_flow_analyzer. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
x402_payment_flow_analyzer is provided by the Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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