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HomeClaude Certified Architect - Foundations (CCAR-F)Reference: the Message Batches API
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Reference: the Message Batches API

Claude Certified Architect - Foundations (CCAR-F) › Domain 4: Prompt Engineering & Structured Output

The Message Batches API, from the API documentation

Domain 4 asks when batch processing is appropriate and how to size submissions against an SLA. The guide gives three properties. The documentation gives the operational limits you need to actually run one.

The trade

Message Batches API

Cost
50% reduction
Typical completion
most batches finish in under 1 hour
Processing window
up to 24 hours
Expiry
a batch that does not finish in 24 hours EXPIRES

Most is not a guarantee

Most batches complete within an hour, and a design that assumes it will be quick has taken a dependency the API does not offer. The 24-hour figure is the ceiling to plan against — and note it is not merely a limit but an EXPIRY: a batch that has not completed by then does not simply run late.

Size and retention

LimitValue
Requests per batch100,000
Batch size256 MB
Result availability29 days from created_at

Whichever of the two size limits is reached first applies. Note that the 29 days runs from batch creation, not from when processing ended.

custom_id

Each request carries a unique custom_id and each result carries it back. This is not optional bookkeeping: the documentation states plainly that order is not guaranteed, so position cannot be used to match a result to its request. The same field is what identifies exactly which items failed, which is what makes resubmitting only the failures possible.

Sizing submissions against an SLA

The arithmetic the exam asks for is a worst case. A document arriving just after a submission window closes waits the full submission interval, then takes up to the full processing ceiling:

submission interval + processing ceiling ≤ your SLA

With a 24-hour ceiling and a 30-hour promise, a 4-hour submission window gives 28 hours worst case and 2 hours of margin. Learn the relation rather than the figures — a question can change any of the three numbers.

Check the tool-calling requirement first

Batch is for non-blocking, latency-tolerant work — overnight reports, weekly audits. But an agentic workload that needs multi-turn tool calling within one request cannot use it at all, however patient you are. That check comes before the latency question, and a stem describing an unattended agentic job is usually testing exactly this.

Sources

  • Batch processing — https://platform.claude.com/docs/en/build-with-claude/batch-processing (retrieved 2026-08-30)
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