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wikimedia-analytics.edits.aggregate

Get total edit counts for a Wikimedia project over a date range, bucketed daily or monthly. Filter by editor type (anonymous, group-bot, name-bot, user, or all-editor-types) and page type (content, non-content, or all-page-types). Data: Wikimedia Analytics REST API (wikimedia.org/api/rest_v1), no...

SERVERApibase SOURCEapibase-mcp-client
Medium RISK CLASS
Category Write
Parameters 63 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-whiteknightonhorse-apibase/wikimedia-analytics.edits.aggregate.md

What wikimedia-analytics.edits.aggregate does on Apibase

AI agents use wikimedia-analytics.edits.aggregate to create or update resources in Apibase, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Apibase environment.

ParameterTypeRequiredDescription
end string Yes End date in YYYYMMDD format (e.g. 20260801)
start string Yes Start date in YYYYMMDD format (e.g. 20260801)
project string Yes Wikimedia project domain (e.g. en.wikipedia, de.wikipedia, commons.wikimedia)
page_type string — Page namespace type filter (default all-page-types)
editor_type string — Editor type filter (default all-editor-types)
granularity string — Time bucket granularity (default monthly)

Parameters from the server's own tool schema.

Why wikimedia-analytics.edits.aggregate is rated Medium

An AI agent can call wikimedia-analytics.edits.aggregate faster than any human can review: one bad instruction and it creates or modifies resources in Apibase by the hundred, each call as confident as the last.

Questions about wikimedia-analytics.edits.aggregate

What does the wikimedia-analytics.edits.aggregate tool do? +

Get total edit counts for a Wikimedia project over a date range, bucketed daily or monthly. Filter by editor type (anonymous, group-bot, name-bot, user, or all-editor-types) and page type (content, non-content, or all-page-types). Data: Wikimedia Analytics REST API (wikimedia.org/api/rest_v1), no auth required. It is categorised as a Write tool in the Apibase MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does wikimedia-analytics.edits.aggregate accept? +

wikimedia-analytics.edits.aggregate accepts 6 parameters: end, start, project, page_type, editor_type, granularity. Required: end, start, project. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on wikimedia-analytics.edits.aggregate? +

Register the Apibase MCP server in PolicyLayer and add a rule for wikimedia-analytics.edits.aggregate: 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.

What risk level is wikimedia-analytics.edits.aggregate? +

wikimedia-analytics.edits.aggregate is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit wikimedia-analytics.edits.aggregate? +

Yes. Add a rate_limit block to the wikimedia-analytics.edits.aggregate 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 wikimedia-analytics.edits.aggregate completely? +

Set action: deny in the PolicyLayer policy for wikimedia-analytics.edits.aggregate. 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 wikimedia-analytics.edits.aggregate? +

wikimedia-analytics.edits.aggregate 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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