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Example question: Which genetic, mechanistic and intervention studies connect PCSK9 with LDL cholesterol? You get: An evidence map and CSV separating study types, experimental systems, measured outcomes and limitations. Start with: Target identifier and aliases; phenotype or disease; species; included evidence types; literature cutoff.

Run with DeepResearch

Set VALYU_API_KEY in your environment, then run this illustrative request. Change the question and CSV fields for your own task. The CSV fields below describe the requested output, not a saved result.
cURL
Save the returned deepresearch_id. Poll Get status until the task completes, then read the report and download the CSV from deliverables.

How it works

  1. Resolve the target and phenotype identifiers. Search human genetics, mechanistic studies and intervention studies separately.
  2. Read original papers and inspect curated database entries as indexes to their underlying evidence. Retain study system, direction and measured outcome.
  3. Group evidence by type and list gaps or conflicts. Keep association, mechanism and intervention effects separate.
To build the workflow inside your own agent, use Search to find sources and Contents to read selected pages. Keep the CSV fields above as your extraction schema.

Check the result

Check target aliases, variant identity and effect direction. Avoid counting a database entry and its cited paper as independent support. Evidence mapping does not establish a therapeutic recommendation.