navi_web_intelligence

Zero-transform web page intelligence for AI agents. Extracts OpenGraph + Twitter Card + Article metadata + JSON-LD structured data. Generates AI analysis via Claude Haiku tool_use: summary (one_line/three_lines/key_points), entities (orgs/people/products/locations/money/dates), classification (se...

Server Navi X402 navi-x402-mcp
Category Read
Risk class Low
Parameters 11 required

What navi_web_intelligence does on Navi X402

AI agents call navi_web_intelligence to retrieve information from Navi X402 without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
url string Yes The URL of the web page to analyze (e.g. https://techcrunch.com/article)

Parameters from the server's own tool schema.

Why navi_web_intelligence needs a policy

This tool reads and analyzes publicly available web page data to extract intelligence signals. While the server enables financial transactions for tool access, the tool itself performs no financial operations, destructive actions, or code execution—it queries metadata and returns analytical signals. The financial aspect (USDC payment) is infrastructure for tool availability, not a capability the tool exercises.

From the tool's definition Tool extracts and analyzes web page metadata (OpenGraph, Twitter Card, Article metadata, JSON-LD) and generates AI analysis (summary, entities, classification).

Risk signalsAccepts URL/endpoint input (url)

Questions about navi_web_intelligence

What does the navi_web_intelligence tool do? +

Zero-transform web page intelligence for AI agents. Extracts OpenGraph + Twitter Card + Article metadata + JSON-LD structured data. Generates AI analysis via Claude Haiku tool_use: summary (one_line/three_lines/key_points), entities (orgs/people/products/locations/money/dates), classification (sentiment, credibility, content_type, bias_indicators, is_opinion, is_sponsored). Returns 16+ boolean signals for programmatic decisions. One call replaces 7 agent steps. (Paid via x402: $0.005 USDC per call on Base, settled automatically.). It is categorised as a Read tool in the Navi X402 MCP Server, which means it retrieves data without modifying state.

What parameters does navi_web_intelligence accept? +

navi_web_intelligence accepts 1 parameter: url. Required: url. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on navi_web_intelligence? +

Register the Navi X402 MCP server in PolicyLayer and add a rule for navi_web_intelligence: 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 Navi X402. Nothing to install.

What risk level is navi_web_intelligence? +

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

Can I rate-limit navi_web_intelligence? +

Yes. Add a rate_limit block to the navi_web_intelligence 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 navi_web_intelligence completely? +

Set action: deny in the PolicyLayer policy for navi_web_intelligence. 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 navi_web_intelligence? +

navi_web_intelligence is provided by the Navi X402 MCP server (navi-x402-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// LOOK UP ANOTHER SERVER

Every MCP server has a record like this.

Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.