competitor_intel
LLM-narrated competitive-intelligence BRIEFING — for human consumption (board meeting, pitch prep). Pair tool: competitive_deep_dive for raw structured multi-source data (agent-shaped JSON). Returns: recent competitor moves with severity (critical/high/medium/low), prioritised signals, pricing-ra...
This record as markdown: /tools/io-github-getgapup-gapup-mcp/competitor-intel.md
What competitor_intel does on Gapup Mcp
AI agents call competitor_intel to retrieve information from Gapup Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| 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 | — | Optional — what the buyer wants to track first (e.g. pricing moves, hiring patterns) |
competitors | array | Yes | 1-10 competitors to analyze |
selfCompany | object | Yes | Your company info |
Parameters from the server's own tool schema.
Why competitor_intel is rated Low
The tool retrieves and synthesises competitive intelligence data for presentation purposes. It reads/queries external data sources about competitors and generates a narrative report. There are no write, execute, destructive, or financial transaction actions described.
From the tool's definition LLM-narrated competitive-intelligence BRIEFING — recent competitor moves with severity, prioritised signals, pricing-radar comparison, 3-6 quantified recommendations, and an 8-12 slide presenter script
Risk signalsAccepts URL/endpoint input (selfCompany.url)
Attacks that exploit this kind of access
The rule that runs competitor_intel 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 competitor_intel, this is the rule to start with:
competitor_intel is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Gapup Mcp, apply this rule, and every competitor_intel call is checked against it from then on.
Questions about competitor_intel
LLM-narrated competitive-intelligence BRIEFING — for human consumption (board meeting, pitch prep). Pair tool: competitive_deep_dive for raw structured multi-source data (agent-shaped JSON). Returns: recent competitor moves with severity (critical/high/medium/low), prioritised signals, pricing-radar comparison, 3-6 quantified recommendations (impact in € or %, 7/30/90/180-day horizons), and an 8-12 slide presenter script. Use when the buyer wants a narrative briefing or a deck. Inputs: your company (name + one-paragraph pitch) + 1-10 competitors. Delivered by Manue, AI CMO of the Gapup portfolio. It is categorised as a Read tool in the Gapup Mcp MCP Server, which means it retrieves data without modifying state.
competitor_intel accepts 4 parameters: async, focus, competitors, selfCompany. Required: competitors, selfCompany. 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 competitor_intel: 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.
competitor_intel is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the competitor_intel 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 competitor_intel. 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.
competitor_intel 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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