Agentzia: Make sure AI recommends your product

# Agentzia agent setup Agentzia shows how independent AI agents discover, understand, compare, and recommend a product. MCP endpoint: https://www.agentzia.dev/mcp Transport: Streamable HTTP Authentication: OAuth 2.1 with browser approval Connect to https://www.agentzia.dev/mcp and complete the browser sign-in. Then use these tools: - list_runs: Find existing tests before spending credits on new research. Input: Optional limit (1–20, default 5), cursor, exact stored URL, and status filters Returns: Owned tests, newest first, with report links and next calls. Follow nextCursor with the same filters. - get_credits: Check channel credits, plan and advisory free-capacity availability. Input: No arguments Returns: Credits, plan, maxAffordableChannels, and freeCapacity. Availability is not a reservation. - analyze_url: Test a public product page across selected AI channels, at one credit per channel. Input: A UUID requestId and public URL; optional clients and up to five competitors. All four channels are selected by default. Returns: Run ID, report URL, remaining credits and polling guidance. Reuse the same ID and arguments after a lost response. - analyze_content: Evaluate supplied public-safe marketing copy when a public URL is unavailable. Input: A UUID requestId and content (50–30,000 characters); optional clients and up to five competitors Returns: Run ID, report URL, remaining credits and polling guidance. One credit per channel; no unprompted web-discovery measurement or automatic before/after comparison. - get_run: Poll progress or read a focused report section and its supporting evidence. Input: Run ID; section: status, summary (default), actions, verdicts, insights, search, methodology, or full. Actions/verdicts support offset and limit (1–10, default 3), or an actionId/scenarioId at offset 0. Optional detail: full. Returns: Lifecycle, report quality and the requested section. Follow pollAfterMs and stop on terminal. Actions include evidenceCalls and r