privacy_compliance_audit
Audit conformité vie privée — Gapup agent-payable C-suite expertise (RISK). Returns a structured, audited deliverable. Reference case: Lemlist SAS — SaaS outreach B2B, transferts UE→US Schrems II, RGPD + CCPA + LGPD + UK GDPR. Inputs are validated server-side — send the documented case fields.
This record as markdown: /tools/io-github-getgapup-gapup-mcp/privacy-compliance-audit.md
What privacy_compliance_audit does on Gapup Mcp
AI agents use privacy_compliance_audit 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 |
focus | string | — | |
company | object | Yes | |
presenterScript | array | — | |
targetFrameworks | array | Yes | |
processingActivities | array | Yes |
Parameters from the server's own tool schema.
Why privacy_compliance_audit is rated Critical
The server explicitly states these are 'agent-payable tools' with 'x402 per-call' payment, meaning each invocation of this tool commits a financial transaction. While the tool itself performs a privacy compliance audit (which would otherwise be a Read/Execute category), the payment obligation on each call makes it Financial under the severity hierarchy rule.
From the tool's definition Gapup agent-payable ... x402 per-call; 'agent-payable' tools with per-call financial charges
Risk signalsHigh parameter count (27 properties)
Attacks that exploit this kind of access
The rule that runs privacy_compliance_audit 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 privacy_compliance_audit, this is the rule to start with:
Any call to privacy_compliance_audit 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 privacy_compliance_audit call is checked against it from then on.
Questions about privacy_compliance_audit
Audit conformité vie privée — Gapup agent-payable C-suite expertise (RISK). Returns a structured, audited deliverable. Reference case: Lemlist SAS — SaaS outreach B2B, transferts UE→US Schrems II, RGPD + CCPA + LGPD + UK GDPR. 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.
privacy_compliance_audit accepts 6 parameters: async, focus, company, presenterScript, targetFrameworks, processingActivities. Required: company, targetFrameworks, processingActivities. 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 privacy_compliance_audit: 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.
privacy_compliance_audit 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 privacy_compliance_audit 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 privacy_compliance_audit. 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.
privacy_compliance_audit 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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