Message Batches API

An API for efficiently processing a large number of asynchronous queries.

InternationalSelectionProductivityBatch ProcessingAsynchronous Queries

The Message Batches API by Anthropic allows developers to process a high volume of queries asynchronously, with each batch containing up to 10,000 queries. This API is especially suited for non-time-sensitive tasks that do not require real-time responses, such as customer feedback analysis and language translation. It offers high throughput while costing only half of a standard API call, making large-scale data processing more economical.

Batch process up to 10
000 queries per batch
Complete processing within 24 hours
usually faster
50% lower cost compared to standard API calls
Provides higher throughput without consuming standard API rate limits
Supports large-scale data processing
such as dataset analysis
categorizing large datasets
or extensive model evaluation

\The target audience primarily consists of businesses and developers who need to handle large volumes of data
such as data analysts
machine learning engineers
and corporate IT teams. The Message Batches API enables them to efficiently and cost-effectively process large datasets without the complexities of queue systems or rate limitations
freeing up more time to focus on more valuable tasks.\

Quora utilizes the Message Batches API for summarization and highlight extraction
creating new user features.
Companies can leverage it to analyze their entire document repository
potentially involving millions of files.
Machine learning engineers can use it for classifying large datasets or for model evaluation.

Visit the Anthropic API documentation to learn how to use the Message Batches API.
Register and obtain your API key.
Prepare your query batches according to the documentation guidelines.
Send your query batches via HTTP POST request using the API key.
Wait for Anthropic to process your query batches.

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