aipush.market.report
⚡ ACTION: Start a full AI market intelligence report for any website. Provide a URL (e.g. "https://stripe.com") — the system crawls the site, extracts value propositions and services, identifies competitors, scores them, finds keyword gaps and market opportunities. Returns report_id — poll with a...
This record as markdown: /tools/io-github-whiteknightonhorse-apibase/aipush.market.report.md
What aipush.market.report does on Apibase
AI agents invoke aipush.market.report to trigger actions in Apibase. 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 |
|---|---|---|---|
target_url | string | Yes | Website URL to analyze (e.g. "https://stripe.com"). The system crawls the site, extracts value propositions, finds competitors, and builds a full market intelli |
Parameters from the server's own tool schema.
Why aipush.market.report is rated High
Triggers external crawling and analysis operations with unpredictable scope and side effects on cost.
From the tool's definition Crawls site, extracts data, identifies competitors, scores them, finds opportunities
Attacks that exploit this kind of access
The rule that runs aipush.market.report safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Apibase, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For aipush.market.report, this is the rule to start with:
aipush.market.report 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 Apibase, apply this rule, and every aipush.market.report call is checked against it from then on.
Questions about aipush.market.report
⚡ ACTION: Start a full AI market intelligence report for any website. Provide a URL (e.g. "https://stripe.com") — the system crawls the site, extracts value propositions and services, identifies competitors, scores them, finds keyword gaps and market opportunities. Returns report_id — poll with aipush.market_report_status. Takes ~2 minutes. Cost: $29.99 (AIPush MIP). It is categorised as a Execute tool in the Apibase MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
aipush.market.report accepts 1 parameter: target_url. Required: target_url. The full parameter table on this page comes from the server's own tool schema.
Register the Apibase MCP server in PolicyLayer and add a rule for aipush.market.report: 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 Apibase. Nothing to install.
aipush.market.report 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 aipush.market.report 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 aipush.market.report. 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.
aipush.market.report is provided by the Apibase MCP server (apibase-mcp-client). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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