competitive_deep_dive

SERVERMcp Knowledge SOURCEhttps://mcp.gapup.io

Low RISK CLASS

Category Read

Parameters 41 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-getgapup-mcp-knowledge/competitive-deep-dive.md

WHAT IT DOES

What competitive_deep_dive does on Mcp Knowledge

AI agents call competitive_deep_dive to retrieve information from Mcp Knowledge 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
`depth`	string	—	Research depth: 'easy' = Wikipedia + DDG (fast, ~15s); 'medium' = + Yahoo Finance + EDGAR + Wayback (default, ~45s); 'hard' = + HackerNews + domain surfaces + c
`company`	string	Yes	Name or domain of the target company (e.g. 'Salesforce', 'notion.so', 'HubSpot CRM')
`competitors`	array	—	Optional list of competitor names or domains to include in the comparison matrix (max 5)

Parameters from the server's own tool schema.

RISK

Why competitive_deep_dive is rated Low

This is a straightforward competitive intelligence retrieval tool that reads and aggregates publicly available information. It performs no side effects, creates no data, executes no external operations, and involves no financial commitments. The severity is low because misuse would only surface inaccurate market analysis without operational or financial risk.

From the tool's definition Tool aggregates and retrieves data from public sources (Wikipedia, Yahoo Finance, SEC EDGAR, Wayback Machine, DuckDuckGo, HackerNews, domain scraping) and returns structured JSON with KPIs, competitive signals, pricing data, and positioning information.

Risk signalsBulk/mass operation — affects multiple targets

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs competitive_deep_dive safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Knowledge, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For competitive_deep_dive, this is the rule to start with:

competitive_deep_dive Allowed

competitive_deep_dive is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "competitive_deep_dive": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Knowledge, apply this rule, and every competitive_deep_dive call is checked against it from then on.

FAQ

Questions about competitive_deep_dive

What does the competitive_deep_dive tool do? +

Gold-standard competitive deep dive — STRUCTURED multi-source data (no LLM narrative). Pair tool: competitor_intel for LLM-narrated board briefing + slide script. Aggregates Wikipedia, Yahoo Finance, SEC EDGAR, Wayback Machine, DuckDuckGo, HackerNews, domain scraping — all keyless. Returns agent-shaped JSON: KPIs (funding, employees, revenue, market cap), P0/P1/P2 competitive signals, pricing radar, competitor comparison matrix, Wayback timeline, positioning (sector/industry/icp_hypothesis/moat_signals), quality score. Every field is sourced or marked unavailable — no hallucinated figures. SLA: p50 ~25s, p95 ~30s · score 80+ on listed targets (US/EU/foreign) · score ~40 on private companies (no EDGAR/Yahoo data). Use sync for batch agents (≤30s tolerance). Use competitive_deep_dive_async + competitive_deep_dive_result(job_id) for conversational agents. Inputs: company name or domain (required), optional competitor list (≤5), optional depth (easy/medium/hard). It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.

What parameters does competitive_deep_dive accept? +

competitive_deep_dive accepts 4 parameters: async, depth, company, competitors. Required: company. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on competitive_deep_dive? +

Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for competitive_deep_dive: 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 Mcp Knowledge. Nothing to install.

What risk level is competitive_deep_dive? +

competitive_deep_dive is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit competitive_deep_dive? +

Yes. Add a rate_limit block to the competitive_deep_dive 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.

How do I block competitive_deep_dive completely? +

Set action: deny in the PolicyLayer policy for competitive_deep_dive. 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.

What MCP server provides competitive_deep_dive? +

competitive_deep_dive is provided by the Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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