Can my team ask BigQuery questions in Slack, Microsoft Teams or an MCP client?

Yes. Ask in a Slack or Teams channel or a direct message, and Dot replies in the thread with the answer and the query behind it. From Claude, ChatGPT, Cursor or another MCP client, Dot's MCP server answers with each person's Dot permissions.

Dot bills on credits, not seats, with unlimited users: Pro is $180 a month billed annually ($200 month-to-month) with 150 credits a month, and the free plan includes 300 one-time credits. Google bills the queries Dot runs as usual.

BigQuery

Ask about GA4 events, billing exports and app data in BigQuery.

Try Dot with BigQuery Read the docs

Threadanalytics

Ryan Ortiz9:41 AM

@Dot Which GA4 traffic sources brought the most first-time buyers last month?

1 reply

DotAPP9:42 AM

6 steps · 36s · Access Online

Organic search: 3,120 first purchases, converting at 2.8%.

Source: BigQuery’s ga4.events_*.

Chart

First purchases by traffic source, last month

AnalyticsPosts

Today

Ryan Ortiz9:41 AM

Dot Which GA4 traffic sources brought the most first-time buyers last month?

Dot9:42 AM

6 steps · 36s · Access online

Organic search: 3,120 first purchases, converting at 2.8%.

Source: BigQuery’s ga4.events_*.

First purchases by traffic source, last month

Threadanalytics

Priya Shah9:41 AM

@Dot Which projects drove this month’s jump in our cloud bill?

1 reply

DotAPP9:42 AM

9 steps · 56s · Access Online

Spend rose $18K to $142K. The data-pipeline project accounts for $12K of it.

Source: BigQuery’s billing_export.

Here is the data.

Project	This month	Change
data-pipeline	$58K	+$12K
web-prod	$41K	+$4K
ml-training	$22K	+$2K

AnalyticsPosts

Today

Priya Shah9:41 AM

Dot Which projects drove this month’s jump in our cloud bill?

Dot9:42 AM

9 steps · 56s · Access online

Spend rose $18K to $142K. The data-pipeline project accounts for $12K of it.

Source: BigQuery’s billing_export.

data-pipeline: $58K this month, +$12K change
web-prod: $41K this month, +$4K change
ml-training: $22K this month, +$2K change

Download data

Threadanalytics

Daniel Weber9:41 AM

@Dot Which app version crashes most since Monday’s release?

1 reply

DotAPP9:42 AM

8 steps · 45s · Access Online

5.2 on Android, mostly in the new photo picker.

Source: BigQuery’s crashlytics.

Chart

Sessions that crash, since Monday

AnalyticsPosts

Today

Daniel Weber9:41 AM

Dot Which app version crashes most since Monday’s release?

Dot9:42 AM

8 steps · 45s · Access online

5.2 on Android, mostly in the new photo picker.

Source: BigQuery’s crashlytics.

Sessions that crash, since Monday

How GetDot works with BigQuery

How Dot connects and what it reads

A service account key, with an optional execution project that runs and pays for the queries. List the datasets to sync, or leave the list empty for all of them.

Dot reads table and column metadata and recent INFORMATION_SCHEMA.JOBS history, to learn which tables your team uses most.

Every job carries labels naming the Dot user, the chat and what triggered it (a question, a schedule, a dashboard), which show up in your billing export.

Permissions and row-level security

The service account needs read access to the chosen datasets and the right to run query jobs in the execution project. Dot queries BigQuery in place; nothing is copied.

With per-user BigQuery access, each person’s questions run as their own Google account through domain-wide delegation, so BigQuery’s IAM and row access policies decide what they see. If Google refuses someone, the question fails; Dot never falls back to the service account.

Without it, Dot’s row-level rules (Team plan) filter each query by the asker’s groups or attributes.

Dot and Conversational Analytics in BigQuery

As of October 2026, Google’s Conversational Analytics in BigQuery is generally available (since July 2026). It is built into BigQuery Studio, inherits BigQuery’s access controls, and publishes agents to Gemini Enterprise, Data Studio (formerly Looker Studio) or your own app through its API. Google’s announcement does not mention Slack or Teams.

Choose it when your people already live in BigQuery Studio and BigQuery holds every answer. Choose Dot when the questions turn up in Slack, Teams or email, when the definitions live in Looker, dbt or Power BI, or when some of the data never made it into BigQuery.