ip_protection_pilot
Pilote de protection IP — Gapup agent-payable C-suite expertise (RISK). Returns a structured, audited deliverable. Reference case: Carbios SA — Deeptech FR recyclage PET enzymatique · 14 brevets EP/US/FR · 5 concurrents · licensing €2-8M potentiel. Inputs are validated server-side — send the docu...
This record as markdown: /tools/io-github-getgapup-gapup-mcp/ip-protection-pilot.md
What ip_protection_pilot does on Gapup Mcp
AI agents use ip_protection_pilot 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 | |
competitors | array | Yes | |
targetMarkets | array | Yes | |
patentPortfolioSummary | string | Yes |
Parameters from the server's own tool schema.
Why ip_protection_pilot is rated Critical
This tool is explicitly 'agent-payable' with per-call billing via x402 protocol, and its reference case involves licensing valuations of €2-8M. It commits financial obligations on each invocation (payment per call) and involves financial analysis with material monetary implications. The Financial category applies as the most severe relevant category given the per-call payment mechanism and licensing deal scope.
From the tool's definition agent-payable C-suite expertise (RISK)... licensing €2-8M potentiel... x402 per-call
Risk signalsHigh parameter count (11 properties)
Attacks that exploit this kind of access
The rule that runs ip_protection_pilot 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 ip_protection_pilot, this is the rule to start with:
Any call to ip_protection_pilot 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 ip_protection_pilot call is checked against it from then on.
Questions about ip_protection_pilot
Pilote de protection IP — Gapup agent-payable C-suite expertise (RISK). Returns a structured, audited deliverable. Reference case: Carbios SA — Deeptech FR recyclage PET enzymatique · 14 brevets EP/US/FR · 5 concurrents · licensing €2-8M potentiel. 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.
ip_protection_pilot accepts 6 parameters: async, focus, company, competitors, targetMarkets, patentPortfolioSummary. Required: company, competitors, targetMarkets, patentPortfolioSummary. 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 ip_protection_pilot: 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.
ip_protection_pilot 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 ip_protection_pilot 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 ip_protection_pilot. 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.
ip_protection_pilot 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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