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Data Extraction and Inconsistency Detection with Claude Sonnet 4

Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.

Linked challenge: Multi-Agent for Dynamic Price Monitoring

Format
Text-first
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Linked challenge
Multi-Agent for Dynamic Price Monitoring

Prompt source

Original prompt text with formatting preserved for inspection.

1 lines
1 sections
No variables
0 checklist items
Develop the code that leverages Claude Sonnet 4 to parse the scraped HTML content, extract product names, prices, and other relevant details, and then compare these against expected values or other observed prices to detect inconsistencies. Focus on robust extraction even with varied website layouts.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Hold the task contract and output shape stable so generated implementations remain comparable.

Tune next

Update libraries, interfaces, and environment assumptions to match the stack you actually run.

Verify after

Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.