Tablize

Tablize offers a batch-based processing pipeline. It leases one batch at a time to the agent, keeping the rest of the table on the server to avoid overwhelming the model's context. The acceptance gate can be turned on or off; when on, it uses a hidden golden file to judge each batch, and any miss causes the whole batch to be refused. Every attempt is recorded in a ledger with details like batch id, row count, model, and submission count. The system also supports resuming runs after a session ends, using server-side state.

Tablize is for data jobs that involve repeated, batch processing of structured data, where accuracy and traceability matter. It is useful when an agent's answers get less reliable on long tables, when runs have failed partway and need to be resumed, or when you need to keep a record of which model and prompt produced each row. It is also for situations where a wrong row could contaminate downstream systems, and where the check must be independent of the producer. However, for simple one-off tasks with a small dataset, a CSV might be enough and Tablize would be overhead.

Tablize offers a free tier to start, and you pay when the line keeps producing. The page mentions a 'Free' and 'Pro' plan, but does not provide specific pricing details.