Data Room Indexing with Claude Code: Cost Controls
A production playbook for data room indexing in cross-industry operations using Claude Code: cost controls, run-scoped inputs, logs, typed results, and artifacts.
Audience: Deal teams and diligence operators
The problem
Deal teams and diligence operators need data room indexing to run repeatedly against folders of PDFs, spreadsheets, and evidence files. In cross-industry operations, the pain is not one good answer; it is repeatability, auditability, exception handling, and evidence that survives handoff.
Implementation path
Set explicit limits for data room indexing: input size, run time, tool calls, artifacts, retries, and concurrent runs per organization.
Tradeoffs and failure modes
Limits reject pathological runs, but they keep one workflow from turning into an unbounded infrastructure bill. For data room indexing, the practical test is whether a second run can be debugged, retried, and consumed by a product without reading the raw agent transcript.
Run limits
max_run_seconds=1800
max_input_bytes=104857600
max_artifact_bytes=104857600
max_tool_calls=120
retry_after_seconds=60
Run this on Argo