search-incidents

Incident search and classification across AT Protocol data streams is performed by expanding search topics into keyword strategies, filtering results by relevance, and grouping findings by geography and temporal distribution.

Filtering posts for verified incident reports requires a structured classification schema that evaluates relevance, content type, and incident confirmation status to minimize noise from large data volumes.

Automatically expanding search topics into keyword strategies involves generating comprehensive queries that include synonyms, regional terms, and exclusion criteria to improve incident discovery and reduce irrelevant results.

Data-analyst agents are required to execute queries against osprey_execution_results and produce structured investigation reports when conducting topic-based incident discovery workflows.

Investigating breaking events like regional protests over specific time periods is supported through temporal distribution grouping and geographic filtering of classified AT Protocol content findings.

Discovering and verifying incidents across AT Protocol content is limited by the effectiveness of keyword expansion strategies and the accuracy of the classification schema applied to filtered post results.