Low Risk

events_count

Count CUSTOM PRODUCT events for a specific project in a time window, optionally filtered to one event name and/or one user. Custom events are emitted by explicit analytics.track() calls in app code (signup_completed, payment_succeeded, etc.). This does NOT count page views — use pageviews_count o...

Part of the Convalytics server.

events_count 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 events_count to retrieve information from Convalytics 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 events_count 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": {
    "events_count": {}
  }
}

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Get this rule live on your own Convalytics server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access events_count 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 events_count 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 events_count tool do? +

Count CUSTOM PRODUCT events for a specific project in a time window, optionally filtered to one event name and/or one user. Custom events are emitted by explicit analytics.track() calls in app code (signup_completed, payment_succeeded, etc.). This does NOT count page views — use pageviews_count or weekly_digest for those. Returns count, unique visitors, and a truncated flag if the scan hit the maximum scan size.. It is categorised as a Read tool in the Convalytics MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on events_count? +

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

What risk level is events_count? +

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

Can I rate-limit events_count? +

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

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

events_count is provided by the Convalytics MCP server (https://api.convalytics.dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Convalytics tool call.

Deterministic rules across all 15 Convalytics tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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