ceven

Baserow

Syncs records across your no code databases in real time, automates row updates based on external triggers, and turns your Baserow tables into an active backend for AI agents.

Try Baserow in Ceven

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Why use Ceven?

  1. AI native Baserow integration

    • Describe the outcome and Ceven picks the right Baserow calls, fills the parameters, and checks the result.
    • Structured, agent friendly tool schemas so each call runs reliably instead of by guesswork.
    • Rich coverage for reading, writing, and querying your Baserow data, across all 14 of its actions.

  2. Managed auth

    • Built in OAuth with automatic token refresh and rotation.
    • One place to manage, scope, and revoke Baserow access.
    • Per user and per environment credentials instead of shared keys.

  3. Agent optimized design

    • Actions are tuned from real success and error rates so reliability climbs over time.
    • Full execution logs so you always know what ran in Baserow, when, and on whose behalf.
    • The agent pauses and asks when Baserow is unclear instead of plowing ahead.

  4. Enterprise grade security

    • Fine grained access so you control which agents and people can reach Baserow.
    • Least privilege by default, read scopes first and only the writes a workflow needs.
    • A full audit trail of every Baserow action to support review and sign off.

Supported tools

Every action Ceven's agents can run on Baserow, and when to use it.

List databases
Use this to discover all available databases in your workspace to find the correct target for data operations.
List tables
Pull a list of all tables within a specific database to identify the exact table ID needed for row operations.
Get row
Pull the full data for a single record by its ID to check current status or retrieve specific field values.
List rows
Pull multiple records from a table. Use this to audit a dataset or find all records matching a specific filter.
Create row
Add a new record to a table. Use this when an external event requires a new entry in your database.
Update row
Modify existing field values in a row. Common for updating lead status or marking a task as complete.
Delete row
Remove a record from a table permanently. Use this for data cleanup or removing duplicate entries.
Search rows
Query records based on specific field values. Use this to find a customer by email before creating a duplicate.
Get table schema
Pull the field definitions and types for a table to ensure data types match before a bulk upload.
Create table
Generate a new table within a database. Useful for creating temporary staging areas for data imports.
Update table
Rename a table or change its settings to keep your workspace organized as the project grows.
Delete table
Remove an entire table and all its records. Use with caution for decommissioning old project trackers.
List Tables in Database
This tool lists all tables within a specified baserow database. it allows users to retrieve information about all tables in a database by using the get /api/database/{database id}/tables/ endpoint. the expected output is an array of table o

13 actions · scroll to see them all

Frequently asked questions

Ceven implements an intelligent queuing system to respect Baserow API limits. If your workflow triggers a massive bulk update that hits the rate limit, the agent does not simply fail. It catches the limit error, calculates the wait time based on the response header, and pauses execution before retrying the request. This ensures that large data migrations or massive syncs complete successfully without crashing your workflow. For users on the self hosted version of Baserow, you can adjust these limits in your own configuration, and Ceven will automatically adapt to the new thresholds provided by your server.
Yes. Ceven can read and write to link to table fields. When creating a row that requires a link to another table, the agent first searches for the correct record ID in the destination table and then passes that ID into the link field. This allows you to maintain relational integrity across your database. You can build workflows that create a company record first, then create multiple contact records linked back to that company. The agent handles the ID mapping in the background so you only have to specify the names of the entities you want to connect.
Ceven handles pagination automatically for all Baserow list operations. When you ask the agent to pull records from a large table, it makes sequential calls to the API, fetching data in batches until the entire set is retrieved. While there is no hard limit on the number of rows, extremely large datasets may take longer to process. To optimize speed, we recommend using specific filters in your prompt so the agent only pulls the records necessary for the current task rather than the entire table every time.
Yes. You can connect Ceven to either the Baserow cloud offering or your own self hosted instance. When connecting, you simply provide the base URL of your server along with your API token. The agent then communicates directly with your server. Because the API is consistent across versions, all the standard read and write actions work identically. Just ensure your firewall allows incoming requests from Ceven IP addresses so the agent can push and pull data without being blocked by your security layer.
Ceven operates using the permissions associated with the API token you provide. If the token belongs to an administrator, the agent has full access to all databases and tables. If you want to restrict the agent, you should create a dedicated user in Baserow with limited access to only the specific tables the agent needs to touch. This follows the principle of least privilege. Any action the agent attempts that exceeds the token permissions will return a forbidden error, which the agent will report back to you in the workflow log.
Yes. You can set up webhooks in Baserow that fire whenever a row is created or updated. These webhooks send a payload to Ceven, which then triggers the associated agent workflow. For example, changing a status dropdown to Approved in Baserow can immediately trigger the agent to generate an invoice and email it to a client. This turns your database into a trigger source, allowing you to manage your entire business process from a simple grid interface without leaving Baserow.
If a field type changes, such as converting a text field to a number field, subsequent API calls from Ceven may fail if the data format no longer matches. Baserow is strict about data types via the API. When this happens, the agent will notify you that there is a schema mismatch. You will need to either revert the field change in Baserow or update the workflow mapping in Ceven to match the new type. We recommend using the Get table schema action to verify your structure before running bulk updates.
Ceven can read the calculated values of formula fields, but it cannot write to them. Since formula fields are computed internally by Baserow, they are read only for all API integrations. You can use these calculated values as triggers or data points in your workflows. For instance, if a formula field calculates a due date as Overdue, Ceven can detect that string and trigger a follow up sequence. To change the value, you must update the underlying fields that the formula relies on.

Alternatives to Baserow

Other tools that solve a similar problem. Ceven supports these too, so you can switch or run more than one at once.

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Try Ceven on your stack

Plug Ceven on top of the tools you already run. Connect Baserow and the rest of your stack, describe the outcome, and its agents handle the work end to end, days of it in minutes.

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