Google Analytics API
GA4 exposes self-serve surfaces: the Data API for reporting, Admin API for configuration, Measurement Protocol for ingestion, and BigQuery export for raw events. All are free on standard properties under OAuth or service accounts. Token-bucket quotas are tight and only GA360 raises them.
Frequently asked questions
Google Analytics scores A on Supergood's API Report Card. GA4 exposes self-serve surfaces: the Data API for reporting, Admin API for configuration, Measurement Protocol for ingestion, and BigQuery export for raw events. All are free on standard properties under OAuth or service accounts. Token-bucket quotas are tight and only GA360 raises them.
Google Analytics has a workable official integration path. Most engineering teams can build against it directly. Open API: self-serve, documented, with SDKs
Google Analytics 4 (GA4) is Google's event-based web and app analytics platform, the successor to Universal Analytics (which was sunset in July 2023).
Vertical: Horizontal web and product analytics, by raw install base the default analytics layer of the open internet, not industry-specific. Marketers, growth teams, ecommerce managers, content/SEO teams, product analysts, and agencies install the GA4 snippet via Google Tag Manager (or gtag.js directly) on every page of a website and configure data streams per web/iOS/Android property.
Google Analytics is the most widely installed analytics product on the internet.
Partial, GA4 is the operating dataset for marketing attribution, paid-media reporting, ecommerce revenue analysis, audience targeting (into Google Ads/DV360/Search Ads 360), and SEO/content performance reporting for the vast majority of websites on the internet.
Google Analytics traces back to Urchin, which Google acquired in April 2005 and relaunched as Google Analytics in November 2005, making the broader product line ~20 years old. Universal Analytics was launched in 2012 and was the dominant version through 2023.
Data API quota is a per-project-per-property-per-hour token bucket (1,250 tokens), and at ~10 tokens per Core request that's only ~125 Core requests/hour for standard properties, 10x more on GA360 but still tight for any real-time dashboard. Token cost is variable and largely opaque: longer date ranges, high-cardinality dimensions (pagePath, custom dimensions), and properties with high event volume burn tokens much faster than the docs imply, leading to surprise 429s. Full sourced list under Sources below.
Common alternatives include Adobe Analytics, Mixpanel, Amplitude, Heap (Contentsquare), PostHog, Matomo. Graded alternatives appear under "More from the report card" below.
Supergood's grades measure one thing: can a customer's engineering team get their own data out programmatically? Supergood checks six things (whether a real API exists, how access is gated, data coverage, auth quality, docs and developer experience, and stability) and rolls them into a letter grade. Supergood re-verifies grades, and they only move on evidence.
Google Analytics scores GOOD on MCP availability. Google publishes an official Google Analytics MCP server under its googleanalytics GitHub org, distributed on PyPI as analytics-mcp. Setup instructions live in the repo README and the project is actively maintained.
Yes. Google Analytics publishes an official MCP server, so MCP clients like Claude, Cursor, and Codex can connect to it directly. Setup instructions are in the vendor's documentation.