Give Hermes your BigQuery and Notion together and it can run your data catalog as actual warehouse changes. It queries a Notion database of requested tables, creates the BigQuery datasets and tables for each one, and writes a page back documenting what it built. Notion is where the team tracks requests and decisions, and BigQuery is where the objects live, so the agent keeps both sides in step. When a request is retired it can delete the table in BigQuery and the block in Notion in one pass.
Pick the operations you want and each becomes a tool the agent can call directly while it works.
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).
Search pages and databases by title
Query a database to retrieve pages
Retrieve a database's metadata and schema
Create a new database as a child of a page
Update a database's title, description, or properties
Retrieve a page's properties
Create a new page in a database or as a child of another page
Update a page's properties, icon, or cover
Retrieve a block
Retrieve a block's children
Append new children blocks to a parent block
Update a block's content
Delete (archive) a block
List all users in the workspace
Retrieve a user by ID
Retrieve the bot user for the current integration
Create a comment on a page or in an existing discussion thread
Retrieve a comment by its ID
List comments on a block or page
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 Google BigQuery and Notion wired in as tools. Connect your account and run.