工具概覽
Databerry 是一個業務資料平臺，把多個工具中的指標彙集到一處。它面向使用多種工具的創始人，可連線 Stripe、PostHog 和 Google Analytics 等服務，讓重要指標並排呈現。網站將其定位為在一個地方檢視所有業務資料的方式。
Databerry 會合並分析工具與計費工具之間的使用者身份。它把 Stripe 客戶、PostHog 訪客和 Google Analytics 會話拼接成單一身份，所有事件都在同一條時間線上。它還為市場、銷售和產品團隊提供檢視，包括即時事件計數、收入圖表、可用性與錯誤監控，以及可跳轉到過往日期的每日快照。
Agent 模式讓使用者用日常英語詢問業務問題，並路由到已連線的工具或 MCP 伺服器。定價為前 30 天免費，網站列出的整合包括 Stripe、PostHog、Google Analytics、Calendly、Sentry、Vercel、自定義 webhook 以及任意 MCP 伺服器。
定價
目錄尚未確認完整價格方案，請至官網查看目前額度、限制及計費方式。
訪問官網價格與限制可能變動，請以官網為準，並確認幣別、付款週期、最低席位數和用量上限。
應用場景
- 市場團隊用 Databerry 把原始分析資料轉化為決策。
- 銷售團隊用 Databerry 匯入財務資料並即時跟蹤收入。
- 產品團隊用 Databerry 在一個螢幕上監控所有產品和服務。
- 創始人用 Databerry 回溯到自開始使用 Databerry 以來的任意一天。
- 使用者用 Agent 模式以日常英語詢問任何有關業務的問題。
- 團隊用 Databerry 跨所有分析工具合併使用者。
- 團隊用 Databerry 在同一條時間線上檢視誰訪問過、註冊過並在各工具間完成了購買。
功能特色
生產力工作流
團隊運營
資料或任務自動化
使用者評論
還沒有評論，來分享你的使用體驗吧
常見問題
Is it free to try?
The site says it is free for the first 30 days with no credit card required, allowing users to connect everything and build a dashboard before deciding whether to keep it.
Can I use it for multiple projects I track separately?
The site says Databerry is built for founders running several products in parallel, with one workspace and separate project views for each.
Do I need to add anything to my code to make this work?
The site says no code changes are needed because Databerry reads from existing analytics and billing accounts, with no SDKs or tracking snippets.
How complex is the setup?
The site says setup takes a few clicks: OAuth integrations are one-click, and API-key tools take about thirty seconds to paste in.
Which tools can I connect?
The site lists Stripe, PostHog, Google Analytics, Calendly, Sentry, Vercel, custom webhooks, and any MCP server, with Notion, Gmail, and Datafast on the way.
What if I use a tool that’s not currently listed?
The site asks users to tell them what tool they use; if it has a public API, they usually ship the integration within a week.
Do you have write access to my accounts?
The site says every connection is read-only by design, with minimum scopes requested and no modification, writing, or deletion of data on connected platforms.
How safe is my data?
The site says credentials are protected by multiple layers of encryption, including application-layer AES-256-GCM with per-user derived keys, TLS in transit, and disk-level encryption at rest.
Is it GDPR compliant?
The site says yes, credentials are encrypted at the application layer on top of disk-level encryption at rest, users can request full data deletion at any time, and only necessary data is kept.