Turn Google Analytics into a REST + MCP endpoint

Writ turns the Google Analytics actions you already do in a browser into a callable REST endpoint your software (and your AI agents) can call.

curl -X POST https://api.usewrit.app/v1/google-analytics/run \
  -H "Authorization: Bearer wt_8f2c...a91" \
  -H "Content-Type: application/json" \
  -d '{ "input": { "query": "your search term" } }'

Record the Google Analytics task once (open a report, then read a metric) and call it as a REST endpoint and an MCP tool. No backend project, no waiting on Google Analytics to ship an API.

1. 1
   Record the Google Analytics task once

   Open the recorder and open a report on Google Analytics in a real browser. Writ captures each step, including login and 2FA, into a reusable workflow.

2. 2
   Publish it as an endpoint

   One click turns the workflow into a callable REST endpoint at /v1/google-analytics/run and a matching MCP tool. Inputs become a typed schema.

3. 3
   Call it from anything

   Call Google Analytics from your code, a no-code tool, or an AI agent. Run it on your own machine for free, or on metered cloud.

Read the REST API docs, see what's possible on workflows, or search for another site. Free to start. See pricing.

Google Analytics has an API, but GA4 has a Data API, but many explorations and custom reports are only assembled through the browser UI.

Writ closes that gap. Record the Google Analytics task once (or describe it to an AI session) and publish it as a REST endpoint at /v1/google-analytics/run and a matching MCP tool. Writ runs on your own accounts, with your own credentials and data, on sites you are authorized to use.

Each operation below is a real Google Analytics action recorded into a workflow and exposed as a typed endpoint.

Returns structured fields such as report metric, dimension value, conversion count, audience size: typed JSON, not raw page text.

POST your inputs, get structured output. Authenticate every call with a scoped wt_ key.

curl -X POST https://api.usewrit.app/v1/google-analytics/run \
  -H "Authorization: Bearer wt_8f2c...a91" \
  -H "Content-Type: application/json" \
  -d '{ "input": { "query": "your search term" } }'

import requests

r = requests.post(
    "https://api.usewrit.app/v1/google-analytics/run",
    headers={"Authorization": "Bearer wt_8f2c...a91"},
    json={"input": {"query": "your search term"}},
)
print(r.json()["output"])

{
  "run_id": "run_goog_7b21",
  "status": "succeeded",
  "output": {
    "report_metric": "...",
    "dimension_value": "...",
    "conversion_count": "..."
  }
}

The reason Google Analytics has no usable API is the same reason it's hard to automate. Writ handles it.

Writ signs into your own Google Analytics property through a Persona, including 2FA, and reads reports inside that session.

Pick whichever fits the task. All three produce the same callable workflow.

Built on the same engine as the recorder and workflows.

Monitor Google Analytics for metric threshold, conversion drop, traffic spike and fire this endpoint the instant something changes.

Monitors check as fast as every 10s (10s on Enterprise). A detected change becomes an automation trigger that runs your workflow in seconds. Monitor Google Analytics ▸

Build a Google Analytics API

Record it once, then call it from your software and your AI agents. Get started free.