工具概览
Databerry 是一个业务数据平台，把多个工具中的指标汇集到一处。它面向使用多种工具的创始人，可连接 Stripe、PostHog 和 Google Analytics 等服务，让重要指标并排呈现。网站将其定位为在一个地方查看所有业务数据的方式。
Databerry 会合并分析工具与计费工具之间的用户身份。它把 Stripe 客户、PostHog 访客和 Google Analytics 会话拼接成单一身份，所有事件都在同一条时间线上。它还为市场、销售和产品团队提供视图，包括实时事件计数、收入图表、可用性与错误监控，以及可跳转到过往日期的每日快照。
Agent 模式让用户用日常英语询问业务问题，并路由到已连接的工具或 MCP 服务器。定价为前 30 天免费，网站列出的集成包括 Stripe、PostHog、Google Analytics、Calendly、Sentry、Vercel、自定义 webhook 以及任意 MCP 服务器。
定价
目录尚未确认完整价格档位，请到官网查看当前额度、限制及计费方式。
访问官网价格与限制可能变化，请以官网为准，并确认币种、付款周期、最低席位数和用量上限。
应用场景
- 市场团队用 Databerry 把原始分析数据转化为决策。
- 销售团队用 Databerry 导入财务数据并实时跟踪收入。
- 产品团队用 Databerry 在一个屏幕上监控所有产品和服务。
- 创始人用 Databerry 回溯到自开始使用 Databerry 以来的任意一天。
- 用户用 Agent 模式以日常英语询问任何有关业务的问题。
- 团队用 Databerry 跨所有分析工具合并用户。
- 团队用 Databerry 在同一条时间线上查看谁访问过、注册过并在各工具间完成了购买。
功能特性
生产力工作流
团队运营
数据或任务自动化
用户评论
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常见问题
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.