• QUEUE
  • MONITOR
  • RESULTS
  • HUMAN

How to batch process large datasets with your AI

Connect Anthropic once to offload massive, independent text tasks to an asynchronous queue. Your agent handles the heavy lifting while you wait for the results.

Ask AI about this page

Short answer

How can I batch process large datasets with my AI?

You use asynchronous batching to send huge groups of independent requests at once. This method is cheaper and more efficient for high-volume jobs than running requests one by one. You'll get a breakdown of how to set up and monitor these jobs.

The outcomes.

Where your data lands.

The AI manages the lifecycle of your batch jobs from submission to completion.

QUEUE

Jobs in queue

The AI submits your massive text processing tasks. These sit in a queue to be processed as resources allow.

MONITOR

Status tracking

Your agent keeps an eye on the job progress. You'll know exactly when the processing is finished or if it hits a snag.

RESULTS

Processed data

Once the batch finishes, the AI pulls the completed text outputs. You get the final results ready for your next step.

HUMAN

Manual control

If a job hangs or you change your mind, you decide whether to stop the process. The AI won't kill a running job without your command.

The workflow

What your AI does when the data arrives.

The AI moves from job creation to monitoring without you needing to manage the underlying API calls.

  1. Submit the batch

    The AI bundles your individual text requests into a single large job. This starts the asynchronous processing loop.

    create_batch_message
  2. Check job status

    The AI periodically checks to see if the batch is still running, completed, or failed. This keeps you updated on progress.

    get_batch_message
  3. Retrieve results

    Once the status shows as finished, the AI grabs the processed messages. It makes the output available for your review.

    get_batch_message
  4. Stop a job

    If you realize the data is wrong or the job is taking too long, the AI can halt the process immediately.

    cancel_batch_message

Try it

Copy these to start.

Use these prompts to trigger batch processing in your chat.

Starting points

Swap the bracketed text for your specific file names or task descriptions.

Anthropic Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_olS3uDDLdOw9uiZoTqVqVIoK0UcivzobkVz8mrNA/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Anthropic capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "anthropic-alternative-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_olS3uDDLdOw9uiZoTqVqVIoK0UcivzobkVz8mrNA/mcp"
    }
  }
}
Copy into chat04
  • Create a batch job for the text files in my 'customer_feedback' folder.

  • Check the status of the batch job I started for the 'product_reviews' dataset.

  • Stop the current batch processing job for the 'marketing_copy' list.

  • Get the results from the batch job that processed my 'legal_docs' folder.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Anthropic once, then ask.

Just click the link to connect your account. Your credentials stay encrypted and secure, and you can immediately start managing batches through your AI client.

Connect Anthropic to your AI

FAQ

How batching behaves

  • 01

    Can the AI delete my original files?

    No. The AI only interacts with the batching tools to process data; it cannot delete or modify your source files.

  • 02

    Does the AI charge me for every single request?

    Batching is designed to be more cost-effective than standard requests, but you are responsible for the costs associated with your Anthropic account.

  • 03

    Can I stop a batch job once it has started?

    Yes. You can tell your AI to cancel a running batch job at any time.

  • 04

    Will the AI automatically retry failed jobs?

    No. If a batch job fails, the AI will report the error to you, and you must decide how to proceed.

  • 05

    Can the AI create new files based on the batch results?

    No. The AI can retrieve the processed messages, but it does not have tools to write new files to your local disk or cloud storage.

  • More questions about Anthropic? The Connector page answers them. See everything the Anthropic Connector can do

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