reputation_engine
Moteur de réputation — Gapup agent-payable C-suite expertise (CMO). Returns a structured, audited deliverable. Reference case: PayShield SaaS — Monitoring réputation Q2 2026. Inputs are validated server-side — send the documented case fields.
This record as markdown: /tools/io-github-getgapup-gapup-mcp/reputation-engine.md
What reputation_engine does on Gapup Mcp
AI agents use reputation_engine to commit financial operations through Gapup Mcp, usually the final step of a payment, billing, or trading workflow. A call moves real money.
| 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 |
brand | string | Yes | |
channels | array | Yes | |
industry | string | Yes | |
keywords | array | Yes | |
historicalCrises | array | — |
Parameters from the server's own tool schema.
Why reputation_engine is rated Critical
The server description explicitly states these are 'agent-payable tools' using x402 per-call micropayments. Every invocation of reputation_engine triggers a financial transaction (a payment per call). The tool itself performs reputation monitoring/analysis (a Read/Write operation), but the payment obligation on each call makes it Financial under the severity ranking rules.
From the tool's definition Gapup agent-payable ... x402 per-call
Attacks that exploit this kind of access
The rule that runs reputation_engine safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Gapup Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For reputation_engine, this is the rule to start with:
Any call to reputation_engine is blocked until a human approves it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect Gapup Mcp, apply this rule, and every reputation_engine call is checked against it from then on.
Questions about reputation_engine
Moteur de réputation — Gapup agent-payable C-suite expertise (CMO). Returns a structured, audited deliverable. Reference case: PayShield SaaS — Monitoring réputation Q2 2026. Inputs are validated server-side — send the documented case fields. It is categorised as a Financial tool in the Gapup Mcp MCP Server, which means it involves financial transactions. Block by default and require explicit approval.
reputation_engine accepts 6 parameters: async, brand, channels, industry, keywords, historicalCrises. Required: brand, channels, industry, keywords. The full parameter table on this page comes from the server's own tool schema.
Register the Gapup MCP server in PolicyLayer and add a rule for reputation_engine: 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 Gapup Mcp. Nothing to install.
reputation_engine is a Financial tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the reputation_engine 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 reputation_engine. 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.
reputation_engine is provided by the Gapup MCP server (https://mcp.gapup.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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