competitor_pricing_scrape
Scrape and parse a competitor pricing page from a URL or domain. Fetches via proxy-aware timedFetch (tries /pricing, /plans, homepage fallback), then extracts: plan names, prices, billing cadence (monthly/annual/usage-based/one-time), key features, free tier presence, enterprise tier, estimated p...
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/competitor-pricing-scrape.md
What competitor_pricing_scrape does on Mcp Knowledge
AI agents invoke competitor_pricing_scrape to trigger actions in Mcp Knowledge. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
| Parameter | Type | Required | Description |
|---|---|---|---|
url | string | Yes | Competitor URL or domain (e.g. 'https://notion.so/pricing', 'notion.so', 'https://www.example.com'). For best results, provide the direct pricing page URL. |
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 |
Parameters from the server's own tool schema.
Why competitor_pricing_scrape is rated High
This tool actively fetches external URLs using a proxy-aware HTTP client, executing network requests against third-party websites. It triggers external operations (web scraping) whose effects depend on the URL argument provided. This goes beyond a simple read of internal data — it initiates outbound connections to arbitrary domains, which classifies it as Execute.
From the tool's definition Scrape and parse a competitor pricing page from a URL or domain. Fetches via proxy-aware timedFetch (tries /pricing, /plans, homepage fallback)
Risk signalsAccepts URL/endpoint input (url)
Attacks that exploit this kind of access
The rule that runs competitor_pricing_scrape 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 competitor_pricing_scrape, this is the rule to start with:
competitor_pricing_scrape stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Knowledge, apply this rule, and every competitor_pricing_scrape call is checked against it from then on.
Questions about competitor_pricing_scrape
Scrape and parse a competitor pricing page from a URL or domain. Fetches via proxy-aware timedFetch (tries /pricing, /plans, homepage fallback), then extracts: plan names, prices, billing cadence (monthly/annual/usage-based/one-time), key features, free tier presence, enterprise tier, estimated price range. Returns structured pricing tiers. If unfetchable or no pricing found (anti-bot, SPA, auth wall): returns a clear degraded result with warnings and signals — never fake success. ICP: founders, product managers, pricing strategists, competitive intel teams. Proxy-aware (AICI_RESEARCH_PROXY_URL). Cache TTL 6h. It is categorised as a Execute tool in the Mcp Knowledge MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
competitor_pricing_scrape accepts 2 parameters: url, async. Required: url. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for competitor_pricing_scrape: 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.
competitor_pricing_scrape is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the competitor_pricing_scrape 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_pricing_scrape. 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_pricing_scrape 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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