competitor_profiles
Profils concurrents — Gapup agent-payable C-suite expertise (CMO). Returns a structured, audited deliverable. Answers: What are the strengths, weaknesses and positioning of each of my competitors? · Give me a SWOT-style profile of a named competitor. Reference case: Notion — profils de ClickUp, A...
This record as markdown: /tools/io-github-getgapup-gapup-mcp/competitor-profiles.md
What competitor_profiles does on Gapup Mcp
AI agents call competitor_profiles 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 | — | |
competitors | array | Yes | |
selfCompany | object | Yes |
Parameters from the server's own tool schema.
Why competitor_profiles is rated Low
This tool retrieves and returns structured competitive intelligence data (SWOT profiles, strengths/weaknesses/positioning) about competitors. It is purely a read/query operation with no side effects. The financial note ('agent-payable') refers to the billing model of the server platform, not a financial transaction performed by the tool itself.
From the tool's definition 'Profils concurrents' (competitor profiles), 'Returns a structured, audited deliverable', 'What are the strengths, weaknesses and positioning of each of my competitors?', 'Give me a SWOT-style profile'
Risk signalsAccepts URL/endpoint input (selfCompany.url)
Attacks that exploit this kind of access
The rule that runs competitor_profiles 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_profiles, this is the rule to start with:
competitor_profiles 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_profiles call is checked against it from then on.
Questions about competitor_profiles
Profils concurrents — Gapup agent-payable C-suite expertise (CMO). Returns a structured, audited deliverable. Answers: What are the strengths, weaknesses and positioning of each of my competitors? · Give me a SWOT-style profile of a named competitor. Reference case: Notion — profils de ClickUp, Asana, Coda. Inputs are validated server-side — send the documented case fields. It is categorised as a Read tool in the Gapup Mcp MCP Server, which means it retrieves data without modifying state.
competitor_profiles 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_profiles: 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_profiles 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_profiles 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_profiles. 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_profiles 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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