Archon + BigQuery

Archon connects a managed AI workforce to BigQuery through Service account or OAuth. Agents handle analytics queries, reporting datasets, data validation, with read and write access governed by approval queues and audit logs inside your security perimeter.

Data & Analytics

What Archon runs on BigQuery.

Data teams use this connector to put answers where decisions happen: agents query approved datasets, assemble recurring reports, watch metrics for anomalies, and explain changes with source lineage.

Analytics queries

Reporting datasets

Data validation

Secure operating layer

Governed access, by default.

Access is scoped to approved datasets and views. Queries are logged with lineage so any number an agent reports can be traced back to the source.

01

Scoped credentials

Connection through Service account or OAuth, limited to the data and actions the approved workflow requires. Credentials stay inside your perimeter.

02

Human approval gates

Consequential actions wait in your approval queue. Nothing irreversible ships without a named human decision.

03

Audit everything

Every BigQuery action an agent takes is logged with source, prompt path, and reviewer, ready for your security team.

Related integrations

More in Data & Analytics.

FAQ

BigQuery questions.

How does Archon authenticate with BigQuery?+
Through Service account or OAuth, with scoped credentials managed inside your security perimeter. Agents receive only the permissions the approved workflow requires, and credentials never leave your deployment boundary.
Can Archon agents write back to BigQuery?+
Access is read and write. Write actions route through human approval queues, audit logs, dry-run validation, and rollback paths before they touch production data.
What does Archon typically run on BigQuery?+
Analytics queries, reporting datasets, data validation. Data teams use this connector to put answers where decisions happen: agents query approved datasets, assemble recurring reports, watch metrics for anomalies, and explain changes with source lineage.

Get started

Put BigQuery to work with an AI workforce.

Bring the workflow and the system owner. We will map the connector, the controls, and the first production deployment.