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The previous command returned the alerts as its result rows, which quietly changed the unit: an investigation holding three alerts would have become three incidents. The investigation is what an analyst opens and what the SOC tracks — it stays the incident, and the alerts are its content. get_investigations_full walks the same three hops and inverts the shape: investigations under `data`, each carrying its alerts under `alerts` plus an alert_count. results_path=data and dedup_key=rrn, so it is a drop-in replacement for list_investigations in an existing ingestion rule — only the command name and the mapper change. A few first-alert values are also lifted to the top level, and that is not cosmetic. MapFields resolves dotted paths only and cannot index an array, so `alerts[0].ai_suggested_disposition` in a field_mappings entry reads as nothing — silently, leaving the custom field empty with no error anywhere. Three custom fields were empty for exactly that reason until an end-to-end run showed it. The ocsf section has no such limit: it is evaluated by full JSONata and indexes freely, which is why the host and process mappings worked while the custom fields did not. The mapper maps the investigation first and the first alert after, so the alert wins wherever the container says nothing. It also lands every alert — not just alerts[0] — as OCSF-shaped objects under `evidences`, because the extractor walks arrays and classifies on the path suffix: an investigation aggregating two alerts on two machines now indexes both hosts, where reading alerts[0] alone would have indexed one and silently dropped the other. Verified end to end against the investigation that started this, with a second alert added on another host: field mapping, OCSF mapping and entity extraction. Both hosts are indexed. With the incident type's extraction policy set to selected/host,ip,user, the entity set is exactly those two — the alert RRN's 32-hex suffix, which the IOC regex cannot tell from an MD5, is filtered out there. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>