Flexible data access,
without the heavy lifting

Access prebuilt data pipelines, query your metrics via API, or bring your game data directly into the AI tools you already use. No custom engineering required.

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SOC 2

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ePrivacy

MCP Server:
Your data, in any AI tool

Connect your game data to the AI tools and workflows you already use - Cursor, Claude, Codex, and more. Query metrics, compare builds, and surface insights without leaving the tools your team works in every day.

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Quentin Sallat

Co-Founder, Zero One

The GameAnalytics MCP Server slots directly into our AI factory in Cursor - a chain of agents managing everything from ideas to monetization. A plug-and-play data source that validates whether each release actually moved the needle.

Huseyin Gulgen

Co-Founder, Gamebit

We built a weekly progress report that updates automatically using Codex and the MCP Server. It compares builds, identifies improvements in the codebase and advises on what to build in the next update. This is a huge feature.

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Data Warehouse:
Query-ready insights

Consolidate all your gameplay data into a managed BigQuery instance. Data Warehouse gives your analysts player- and event-level data, pre-processed and refreshed daily, so they can run advanced SQL queries without engineering bottlenecks.

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Data Export:
Raw data in real time

Stream every gameplay event directly into your own AWS or Google Cloud bucket. Data Export delivers JSON or Parquet files with all your custom fields intact, giving you complete control to transform, enrich, and analyze data your way.

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API Access:
Data on demand

Use Metrics API to programmatically fetch KPIs, or Organization API to keep games and users up to date. Direct, flexible access to your data without any intermediary.

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Game Data Sharing: Collaborate with partners

Securely access partner data through Data Warehouse, Data Export or Metrics API. Game Data Sharing makes it easy to query and compare KPIs across studios, enabling deeper collaboration and growth opportunities.

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为什么工作室和发行商选择游戏分析

专为游戏打造

适用于所有游戏——无论平台如何。深入研究来自手机、Roblox、网络、电脑和虚拟现实/增强现实游戏的数据。

简化集成

访问分析、漏斗分析、运行状况报告、LiveOps 功能等。全部来自一个轻量级 SDK。

可供选择的数据选项

选择权在你手中。将您的游戏数据导出到 BigQuery、谷歌云存储或 AWS 存储桶。

透明的定价

无需计算存储、查询或其他成本。简单、可预测的定价使预测变得更加容易。

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Trusted worldwide by game makers

100,000

studios powered by GA

billion+

daily events processed

99.9999

up-time record

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Lenny Attab

Product Designer, GameAnalytics

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The GameAnalytics MCP reads data well and gives valuable advice for the project. We can build weekly progress reports, record our data, compare builds, and identify potential improvements in the codebase. It also advises on what to build in the next update, shows what we should focus on, and compares weak points across builds. This is a huge feature.

Huseyin Gulgen

Co-Founder, Gamebit

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One of my major frustrations is that the way that data comes in keeps changing between different hardware or consoles. So it might be different from the same data collected from another platform. You end up working with a lot of black boxes. But PipelineIQ is my rock. I know how it works, and I can trust the parameters that I’ve set up with it. It’s nice to have something to come home to.

Rahul Jani

Data Engineer, Happy Volcano

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Setup was surprisingly easy. Install the SDK, create a game in their tool, and link the two. Now you are good to go.

David Smit

CPO, Roamer Games

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We set up PipelineIQ and we visualize the data in a tool called Grafana. This allows us to track key metrics such as overall wins and loses, losses by waves and the win-loss ratio. We use this to help rebalance waves that may be too difficult or too easy for players.