Low Risk

market_beat

Domain market news briefing. Call when a user wants to understand what is happening in the domain market right now — trending keywords, notable sales, registration anomalies, and industry movements. This is a news briefing, not investment advice. Present facts, flag anomalies, cite sources. If th...

Risk signalsBulk/mass operation — affects multiple targets

Part of the DomainKits server.

market_beat is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call market_beat to retrieve information from DomainKits without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though market_beat only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "market_beat": {}
  }
}

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These attack patterns abuse exactly the kind of access market_beat gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so market_beat only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the market_beat tool do? +

Domain market news briefing. Call when a user wants to understand what is happening in the domain market right now — trending keywords, notable sales, registration anomalies, and industry movements. This is a news briefing, not investment advice. Present facts, flag anomalies, cite sources. If the cause of a trend is unknown, say so — never fabricate explanations. Workflow: 1. Gather data from multiple sources: - web_search for recent high-value domain sales (e.g., 'domain name sales this week', 'domain sales report 2026'), industry news, and notable market events. - keywords_trends(hot) for high-volume registration keywords and weekly momentum. - keywords_trends(emerging) for sudden registration spikes — these are the most newsworthy signals. - domain_changes for transfers, expirations, and nameserver changes in the last 24 hours. 2. Analyze and cross-reference: - For hot keywords: focus on anomalies (w4 significantly different from w1-w3), not the stable high-volume terms everyone already knows. - For emerging keywords: use web_search to investigate what is driving each spike. If no cause is found, report it as 'cause unidentified' — do not speculate. - For domain sales: report price, buyer/seller if known, and sale platform. - For domain_changes: flag notable transfers (short/premium domains changing registrars) and expirations (high-value domains entering deletion cycle). 3. Present as a concise news briefing organized by: recent notable sales, registration trend highlights (anomalies and emerging keywords), and 24-hour market movements. Lead with facts, not interpretation. After presenting the briefing, suggest relevant next steps based on what the data showed — for example: - An emerging keyword spike → search nrds to see who is registering, or deleted/expired to find available domains in that keyword space. - A high-value sale → search aged(has_sale=true) or nrds to see if the sale triggered a registration wave in similar keywords. - A notable domain expiration → check expired for details, or set_monitor to track its status. Let the user choose whether and where to go deeper. Key principles: Every claim must be sourced or labeled as unverified. Present as market intelligence, not a sales pitch. Disclose affiliate links.. It is categorised as a Read tool in the DomainKits MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on market_beat? +

Register the DomainKits MCP server in PolicyLayer and add a rule for market_beat: 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 DomainKits. Nothing to install.

What risk level is market_beat? +

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

Can I rate-limit market_beat? +

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

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

market_beat is provided by the DomainKits MCP server (https://api.domainkits.com/v1/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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Deterministic rules across all 38 DomainKits tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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