revops_architect
Architecte RevOps — Gapup agent-payable C-suite expertise (CRO). Returns a structured, audited deliverable. Reference case: Qonto — ARR €200M · 200 reps · forecast ±35% · fuite €4,2M/an identifiée · plan RevOps 12 semaines. Inputs are validated server-side — send the documented case fields.
This record as markdown: /tools/io-github-getgapup-gapup-mcp/revops-architect.md
What revops_architect does on Gapup Mcp
AI agents use revops_architect 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 |
company | object | Yes | |
keyMetrics | object | Yes | |
objectives | array | Yes | |
revenueTeam | object | Yes | |
currentStack | array | Yes | |
horizonMonths | number | Yes | |
currentPainPoints | array | Yes |
Parameters from the server's own tool schema.
Why revops_architect is rated Critical
This tool is explicitly 'agent-payable' with x402 per-call billing, meaning each invocation incurs a financial transaction. The tool itself architectures Revenue Operations (RevOps) strategy involving financial forecasting and revenue leak identification (€4.2M/year identified), and the call itself commits a financial obligation.
From the tool's definition agent-payable C-suite expertise (CRO)... fuite €4,2M/an identifiée · plan RevOps 12 semaines... x402 per-call
Risk signalsHigh parameter count (26 properties)
Attacks that exploit this kind of access
The rule that runs revops_architect 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 revops_architect, this is the rule to start with:
Any call to revops_architect 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 revops_architect call is checked against it from then on.
Questions about revops_architect
Architecte RevOps — Gapup agent-payable C-suite expertise (CRO). Returns a structured, audited deliverable. Reference case: Qonto — ARR €200M · 200 reps · forecast ±35% · fuite €4,2M/an identifiée · plan RevOps 12 semaines. 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.
revops_architect accepts 8 parameters: async, company, keyMetrics, objectives, revenueTeam, currentStack, horizonMonths, currentPainPoints. Required: company, keyMetrics, objectives, revenueTeam, currentStack, horizonMonths, currentPainPoints. 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 revops_architect: 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.
revops_architect 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 revops_architect 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 revops_architect. 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.
revops_architect 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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