marketing_roi_dashboard
Dashboard ROI marketing — Gapup agent-payable C-suite expertise (CMO). Returns a structured, audited deliverable. Reference case: Gapup Hub — H1 2026 · 5 canaux · ROI 3.2× · Attribution W-shaped · Budget €60k. Inputs are validated server-side — send the documented case fields.
This record as markdown: /tools/io-github-getgapup-gapup-mcp/marketing-roi-dashboard.md
What marketing_roi_dashboard does on Gapup Mcp
AI agents use marketing_roi_dashboard 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 |
arpuEur | number | Yes | |
channelData | array | Yes | |
companyName | string | Yes | |
periodLabel | string | Yes | |
totalRevenueAttribEur | number | Yes | |
targetAttributionModel | string | Yes | |
currentAttributionModel | string | Yes | |
totalMarketingBudgetEur | number | Yes |
Parameters from the server's own tool schema.
Why marketing_roi_dashboard is rated Critical
This tool is part of a server explicitly described as '271 agent-payable tools' with 'x402 per-call' billing, meaning each invocation commits a financial transaction. The tool itself generates marketing ROI dashboards involving budget allocation (€60k reference case) and financial attribution modeling — outputs that can directly influence financial commitments.
From the tool's definition agent-payable, x402 per-call, Budget €60k, ROI 3.2×, financial marketing attribution deliverable for C-suite (CMO)
Risk signalsAccepts freeform code/query input (channelData[].sql) · High parameter count (16 properties)
Attacks that exploit this kind of access
The rule that runs marketing_roi_dashboard 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 marketing_roi_dashboard, this is the rule to start with:
Any call to marketing_roi_dashboard 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 marketing_roi_dashboard call is checked against it from then on.
Questions about marketing_roi_dashboard
Dashboard ROI marketing — Gapup agent-payable C-suite expertise (CMO). Returns a structured, audited deliverable. Reference case: Gapup Hub — H1 2026 · 5 canaux · ROI 3.2× · Attribution W-shaped · Budget €60k. 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.
marketing_roi_dashboard accepts 9 parameters: async, arpuEur, channelData, companyName, periodLabel, totalRevenueAttribEur, targetAttributionModel, currentAttributionModel, totalMarketingBudgetEur. Required: arpuEur, channelData, companyName, periodLabel, totalRevenueAttribEur, targetAttributionModel, currentAttributionModel, totalMarketingBudgetEur. 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 marketing_roi_dashboard: 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.
marketing_roi_dashboard 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 marketing_roi_dashboard 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 marketing_roi_dashboard. 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.
marketing_roi_dashboard 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.
More on Gapup, and thousands of servers like it.
Across the catalogue