Can I query Stripe in plain English instead of writing SQL?

Yes. Dataki works with Stripe through its BigQuery dataset (BigQuery's Stripe connector, in Preview). Ask in plain English and Dataki writes the SQL against that dataset, runs it and returns a chart. The query is shown with every result, so you can check or edit it.

How do I build a dashboard from Stripe data without an ETL pipeline?

Follow the Stripe setup guide once and your data lands in BigQuery automatically, with no pipeline to maintain. Connect that dataset to Dataki, ask your question and save the answer as a dashboard widget. Dataki queries the dataset live, so the dashboard is always as fresh as the export.

Can Claude, ChatGPT or Cursor query my Stripe data?

Yes, through Dataki's hosted MCP server at https://dataki.ai/api/mcp. Connect Stripe to Dataki, add that URL as a connector in Claude or ChatGPT (or in Cursor, VS Code or Claude Code with a Dataki key), and your assistant can read the schema and run read-only queries. It works with the results, while your credentials stay encrypted in Dataki and never reach the model.

Dataki for Stripe

Ask Stripe in plain English

Ask Stripe revenue questions in plain English. BigQuery's Stripe connector copies charges, customers, invoices and subscriptions into a dataset, and Dataki answers from it.

Through BigQuery BigQuery's Stripe connector, in Preview. The guide takes about 15 minutes.

Follow the setup guide Open Dataki

app.dataki.ai / chat BigQuery · stripe

What was our revenue each month this year, net of refunds?

Reading the schema, writing the query…

SELECT DATE_TRUNC(DATE(created), MONTH) AS month,
       SUM(amount) / 100 AS net_revenue
FROM   stripe.balance_transactions
WHERE  type IN ('charge', 'refund')
  AND  DATE(created) >= DATE_TRUNC(CURRENT_DATE(), YEAR)
GROUP BY month ORDER BY month

Net revenue grew every month this year, from $98K in January to $151K in September.

01Questions

What people ask Stripe

Each one becomes a query against the Stripe data, run read-only, with the SQL shown beside the chart so anyone who reads SQL can check it. Anything worth keeping goes on a dashboard that refreshes on its own.

What was our revenue each month this year, net of refunds?
How many subscriptions churned last month, and on which plans?
Which customers have failed invoices outstanding?
What is monthly recurring revenue by plan today?

02From your assistant

Ask Stripe from Claude, ChatGPT or Cursor

Dataki runs a hosted MCP server. Add it to your assistant once and it can read the Stripe data in BigQuery and run read-only queries through Dataki. The assistant gets the rows back; the credentials stay encrypted in Dataki and never reach the model.

Setup for your assistant:

Claude · dataki (MCP) BigQuery · stripe

From the Stripe data in BigQuery, chart monthly revenue net of refunds for this year.

list_sources · finds BigQuery · stripe
get_data_context · reads the tables and what the columns mean
query · runs the SQL read-only, returns the rows
render_ui · draws the chart from those rows, in the chat

server URL streamable http

https://dataki.ai/api/mcp

03Setting it up

Getting Stripe data to Dataki

BigQuery's Stripe connector, in Preview. The setup guide covers it step by step.

Setup: About 15 minutes.
Cost: Free while the connector is in Preview. BigQuery storage and queries are billed beyond the free tier.
Freshness: As often as you schedule it. Runs of one transfer cannot overlap, so leave room between them.
History: From a start date you choose. Left empty, three years back.

Read the Stripe guide Open Dataki

Live dashboards

Every answer can become a live dashboard.

Ask in plain English. Dataki writes the SQL, runs it on your database and charts the answer. Keep it as a dashboard with its own link, and your team sees current numbers every time they open it.

app.dataki.ai/dashboards/net-revenue-by-month BigQuery · stripe

3 views · Updated just now

One click turns the answer into a dashboard:

app.dataki.ai/dashboards/net-revenue-by-month

Always current. The query runs again whenever the dashboard opens, so Friday's meeting sees Friday's numbers.

Share it: Send the link to anyone. Viewers are free on every plan.
Refine it: The SQL is always visible. Adjust it by hand or ask for a change.
Embed it: Put the same dashboard in your own product with two HTML tags.

Start free More on dashboards

Using Dataki with Stripe

Can I query Stripe in plain English instead of writing SQL?: Yes. Dataki works with Stripe through its BigQuery dataset (BigQuery's Stripe connector, in Preview). Ask in plain English and Dataki writes the SQL against that dataset, runs it and returns a chart. The query is shown with every result, so you can check or edit it.
How do I build a dashboard from Stripe data without an ETL pipeline?: Follow the Stripe setup guide once and your data lands in BigQuery automatically, with no pipeline to maintain. Connect that dataset to Dataki, ask your question and save the answer as a dashboard widget. Dataki queries the dataset live, so the dashboard is always as fresh as the export.
Can Claude, ChatGPT or Cursor query my Stripe data?: Yes, through Dataki's hosted MCP server at https://dataki.ai/api/mcp. Connect Stripe to Dataki, add that URL as a connector in Claude or ChatGPT (or in Cursor, VS Code or Claude Code with a Dataki key), and your assistant can read the schema and run read-only queries. It works with the results, while your credentials stay encrypted in Dataki and never reach the model.

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