Data

Ask questions. Get answers. Skip the queue.

Your agents query data, build dashboards, and surface insights – so your team can focus on analysis and strategy, not ticket backlogs and ad-hoc requests.

Snowflake

Snowflake

Auto-retried with smaller batch size

BigQuery

Confirmed downstream tables refreshed

Slack

Alerted #data-engineering of slow Stripe sync

Data Engineering agent

Pipeline Monitor

99.7% pipeline uptime

80%

fewer ad-hoc requests

10x

faster time to insight

6hrs

saved per analyst per week

Data Agents

See Data agents in action.

Real workflows with tool requests, reasoning steps, and approval gates – exactly how they run in production.

Integrations

Connects to your entire data stack

100+ OAuth connectors – permissioned and secure. Your agents work across every tool your team already uses.

Snowflake
Snowflake
BigQuery
BigQuery
Google Sheets
Google Sheets
Slack
Slack
Jira
Jira
Notion
Notion
Google Docs
Google Docs
Salesforce
Salesforce
Amplitude
Amplitude
Datadog
Datadog
Google Calendar
Google Calendar
90+
more
End-to-End Workflows

Automation for your most critical data workflows

Natural Language Querying

Stakeholders ask business questions in plain English. Your agent translates to SQL, queries the warehouse, and returns formatted results with context.

Anomaly Detection & Alerting

Monitors key KPIs around the clock. When metrics move outside expected ranges or historical patterns, your team gets alerted immediately.

Auto-Report Generation

Weekly and monthly metric reports auto-generated from your data warehouse – with trend analysis, comparisons, and plain-English executive summaries.

Dashboard Maintenance

Creates and maintains live dashboards synced with your data warehouse. When schemas change, your agent updates queries and alerts the team.

Data Quality Monitoring

Continuously monitors data freshness, completeness, and consistency across sources – flagging issues before they impact downstream reports.

Metric Definition Sync

Keeps metric definitions consistent between your warehouse documentation, dashboards, and team wikis – so everyone is working from the same numbers.

FAQ

Frequently asked questions

AI agents handle natural language data queries, anomaly detection alerts, weekly KPI summaries, dashboard maintenance, data quality monitoring, and pipeline health checks. Data teams focus on strategy instead of maintenance.

Yes. Coworker lets anyone ask data questions in plain English across your warehouse, BI tools, and connected apps. The agent translates questions into queries, validates results, and returns answers with context.

Coworker agents monitor your key metrics continuously and alert your team when values deviate significantly from historical patterns. Each alert includes context about what changed, potential causes, and suggested investigation steps.

Coworker connects to Snowflake, BigQuery, Looker, Tableau, dbt, Fivetran, and 100+ other tools. Agents can query warehouses, monitor pipeline health, audit dashboards, and sync metric definitions across your stack.

BI tools visualize data and catalogs organize metadata. Coworker agents act on data: detecting anomalies, generating reports, answering ad-hoc questions in natural language, and alerting teams when metrics move.

Create your first data agent in 5 minutes

Connect your tools, pick a workflow, and your first agent runs before you finish setup.