Google BigQuery
for LuumenAI
Read BigQuery jobs, schemas, and datasets, then make changes as approved steps
Connect Google BigQuery and your team can ask about a warehouse instead of clicking through the console. Luumen reads job state, query results, table schemas, dataset metadata, connections, and IAM policies on request. Changes — creating a dataset or connection, canceling a running job — are previewed first and, by default, wait for your approval.
The Google BigQuery toolbox
62 tools: 33 read, 29 write. Reads answer instantly. Writes require approval by default. Everything is logged.
- ReadGet BigQuery ML ModelRetrieve a specific BigQuery ML model resource by model ID.
- ReadGet BigQuery Connection IAM PolicyGet the IAM access control policy for a BigQuery connection resource.
- ReadGet BigQuery Dataset MetadataRetrieve BigQuery dataset metadata including location via the datasets.get API.
- ReadGet BigQuery JobRetrieve information about a specific BigQuery job.
- ReadGet BigQuery Query ResultsGet the results of a BigQuery query job via RPC.
- ReadGet BigQuery RoutineRetrieve a BigQuery routine (user-defined function or stored procedure) by its ID.
- ReadGet BigQuery Routine IAM PolicyRetrieve the IAM access control policy for a BigQuery routine resource.
- ReadGet BigQuery Service AccountGet the service account for a project used for interactions with Google Cloud KMS.
- ReadGet BigQuery Table IAM PolicyRetrieve the IAM access control policy for a BigQuery table resource.
- ReadGet BigQuery Table SchemaFetch a BigQuery table's schema and metadata without querying row data.
- ReadList Analytics Hub ListingsList all listings in a given Analytics Hub data exchange.
- ReadList BigQuery ConnectionsList BigQuery connections in a given project and location.
- ReadList BigQuery Capacity CommitmentsList all capacity commitments for the admin project.
- ReadList Data Exchange ListingsList all listings in a given Analytics Hub data exchange using the v1beta1 API.
- ReadList BigQuery DatasetsList datasets in a specific BigQuery project, including dataset locations.
- ReadList BigQuery JobsList all jobs that you started in a BigQuery project.
- ReadList BigQuery Data Transfer LocationsList information about supported locations for BigQuery Data Transfer Service.
- ReadList Connections in LocationList BigQuery connections in a given project and location using the v1beta1 API.
- ReadList BigQuery Location Data PoliciesList all data policies in a specified parent project and location using the v2beta1 API.
- ReadList BigQuery ModelsList all BigQuery ML models in a specified dataset.
- ReadList Organization Data ExchangesList all data exchanges from projects in a given organization and location using Analytics Hub API.
- ReadList BigQuery ProjectsList BigQuery projects to which the user has been granted any project role.
- ReadList Analytics Hub Query TemplatesList all query templates in a given Analytics Hub data exchange.
- ReadList BigQuery Reservation AssignmentsList BigQuery reservation assignments.
- ReadList BigQuery Reservation GroupsList all BigQuery reservation groups for a project in a specified location.
- ReadList BigQuery ReservationsList all BigQuery reservations for a project in a specified location.
- ReadList BigQuery RoutinesList all routines (user-defined functions and stored procedures) in a BigQuery dataset.
- ReadList BigQuery Row Access PoliciesList all row access policies on a specified BigQuery table.
- ReadList BigQuery Table DataList the content of a BigQuery table in rows via the REST API.
- ReadList BigQuery TablesList tables in a BigQuery dataset via the REST API.
- ReadQueryQuery Tool runs a SQL query in BigQuery using the REST API.
- ReadSearch All BigQuery Reservation AssignmentsSearch all BigQuery reservation assignments for a specified resource in a particular region.
- ReadTest BigQuery Routine IAM PermissionsTest which IAM permissions the caller has on a BigQuery routine.
- WriteCancel BigQuery JobCancel a running BigQuery job. Approval by default
- WriteCreate Capacity CommitmentCreate a new capacity commitment resource in BigQuery Reservation. Approval by default
- WriteCreate BigQuery ConnectionCreate a new BigQuery connection to external data sources using the BigQuery Connection API. Approval by default
- WriteCreate Analytics Hub Data ExchangeCreate a new Analytics Hub data exchange for sharing BigQuery datasets. Approval by default
- WriteCreate Analytics Hub ListingCreate a new listing in a BigQuery Analytics Hub data exchange. Approval by default
- WriteCreate BigQuery DatasetCreate a new BigQuery dataset with explicit location, labels, and description using the BigQuery Datasets API. Approval by default
- WriteCreate BigQuery Data Policy (v2beta1)Create a new data policy under a project with specified location using the v2beta1 BigQuery Data Policy API. Approval by default
- WriteCreate Analytics Hub Query TemplateCreate a new query template in a BigQuery Analytics Hub Data Clean Room (DCR) data exchange. Approval by default
- WriteCreate BigQuery ReservationCreate a new BigQuery reservation resource to guarantee compute capacity (slots) for query and pipeline jobs. Approval by default
- WriteCreate BigQuery Reservation AssignmentCreate a BigQuery reservation assignment that allows a project, folder, or organization to submit jobs using slots from a specified reservation. Approval by default
- WriteCreate BigQuery RoutineCreate a new user-defined routine (function or procedure) in a BigQuery dataset. Approval by default
- WriteCreate BigQuery TableCreate a new, empty table in a BigQuery dataset. Approval by default
- WriteDelete BigQuery DatasetDelete a BigQuery dataset specified by datasetId via the datasets.delete API. Approval by default
- WriteDelete BigQuery Job MetadataDelete the metadata of a BigQuery job. Approval by default
- WriteDelete BigQuery ML ModelDelete a BigQuery ML model from a dataset. Approval by default
- WriteDelete BigQuery RoutineDelete a BigQuery routine by its ID. Approval by default
- WriteDelete BigQuery TableDelete a BigQuery table from a dataset. Approval by default
- WriteInsert Data into BigQuery TableStream data into BigQuery one record at a time without running a load job. Approval by default
- WriteInsert BigQuery JobStart a new asynchronous BigQuery job (query, load, extract, or copy). Approval by default
- WriteInsert BigQuery Job with UploadStart a new BigQuery load job with file upload. Approval by default
- WritePatch BigQuery DatasetUpdate an existing BigQuery dataset using RFC5789 PATCH semantics. Approval by default
- WritePatch BigQuery ML ModelUpdate specific fields in an existing BigQuery ML model using PATCH semantics. Approval by default
- WritePatch BigQuery TableUpdate specific fields in an existing BigQuery table using RFC5789 PATCH semantics. Approval by default
- WriteSet BigQuery Routine IAM PolicySet the IAM access control policy for a BigQuery routine resource. Approval by default
- WriteUndelete BigQuery DatasetUndelete a BigQuery dataset within the time travel window. Approval by default
- WriteUpdate BigQuery ConnectionUpdate a specified BigQuery connection using the BigQuery Connection API. Approval by default
- WriteUpdate BigQuery DatasetUpdate information in an existing BigQuery dataset using the PUT method. Approval by default
- WriteUpdate BigQuery RoutineUpdate an existing BigQuery routine (function or stored procedure). Approval by default
- WriteUpdate BigQuery TableUpdate an existing BigQuery table. Approval by default
One prompt, start to finish
What a governed Google BigQuery run looks like inside Luumen.
Questions
How does LuumenAI connect to Google BigQuery?
Authorize once with OAuth 2.0. Luumen lists the scopes each action needs before you approve the connection, and credentials never appear in the chat.
Can LuumenAI change things in Google BigQuery on its own?
Read actions answer immediately. Anything that writes — cancel bigquery job, create capacity commitment, create bigquery connection, create analytics hub data exchange, and more — is shown as a plan and requires approval by default, including the 6 actions classified as destructive. Administrators configure that per tool, so you decide exactly which actions can ever run unattended.
Who gets access to the integration?
You decide. Actions are granted per agent, skill, and team, and per environment — production is not staging. Read access can be broad while writes stay narrow.
Is there an audit trail?
Every call to Google BigQuery — read or write, approved or declined — is recorded with the actor, the input, and the result, and can be linked to the ticket or change record.
Often connected alongside
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Connect in minutes. Every action scoped, approved, and audited from day one.