Give Hermes your Airtable and BigQuery together and it can keep the warehouse and the team's tracking base in step. BigQuery holds the datasets, tables, and jobs; Airtable is where people watch what exists and leave notes. Hermes can create tables, datasets, and routines in BigQuery, then mirror the structure in Airtable and comment on records so nobody loses the thread. When something needs tearing down, it deletes in both places in one pass.
Pick the operations you want and each becomes a tool the agent can call directly while it works.
List all accessible bases
Get the schema (tables and fields) of a base
Create a new table in a base
Update a table's name or description
Create a new field in a table
Update a field's name or description
List records from a table with filtering, sorting, and pagination
Get a single record by ID
Create one or more records (batch create up to 10)
Update one or more records (batch update up to 10)
Update a single record by ID
Delete one or more records (batch delete up to 10)
Delete a single record by ID
Create or update records based on field matching (upsert)
List comments on a record
Create a comment on a record
Update a comment
Delete a comment
List all webhooks for a base
Create a webhook for a base
Delete a webhook
List payloads for a webhook
Refresh a webhook to extend its expiration
Enable notifications for a webhook
Run a SQL query and return results inline (synchronous, bounded by timeout).
Page through the results of a (possibly async) query job.
Start a query / load / extract / copy job (async).
Fetch a job's status and statistics (poll until DONE).
List jobs in a project (filter by state, time range).
Request cancellation of a running job.
Delete a job's metadata.
List datasets in the project.
Fetch dataset metadata.
Create a new dataset.
Full replace of dataset metadata (PUT).
Partial update of dataset metadata (PATCH).
Delete a dataset.
List tables/views in a dataset.
Fetch table metadata/schema.
Create a table or view with a schema.
Partial update of a table (add columns, set expiration, etc.).
Full replace of table metadata (PUT).
Delete a table or view.
Streaming insert of JSON rows into a table (real-time append).
Read rows from a table directly (paginated, no SQL).
List stored procedures / UDFs / TVFs in a dataset.
Fetch a routine definition.
Create a stored procedure / UDF / TVF.
List BigQuery ML models in a dataset.
Fetch BQML model metadata.
Delete a BQML model.
Return the BigQuery service account for the project (KMS/transfer grants).
List projects the caller can access (for project picker UIs).
Restore a dataset within its time-travel window (datasets.undelete).
Replace a routine's full definition (routines.update, PUT).
Delete a routine (routines.delete).
Update mutable BQML model metadata (models.patch).
Get the IAM policy for a table (tables.getIamPolicy).
Set the IAM policy for a table (tables.setIamPolicy).
Test the caller's permissions on a table (tables.testIamPermissions).
List row access policies on a table (rowAccessPolicies.list).
Get a single row access policy (rowAccessPolicies.get).
Hermes is an open agent built on Nous Research’s Hermes models. NoClick runs it hosted and connects your apps to it as tools, so it can do real work across your systems. Wire an integration into the agent and Hermes can use that app’s operations directly while it reasons through a task. It is a strong pick when you want an open-model agent with genuine tool access.
NoClick runs Hermes for you with Airtable and Google BigQuery wired in as tools. Connect your account and run.