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Saylor Innovations GEO Datasets Search
x402
Saylor Innovations GEO Datasets Search is a paid API for AI agents from saylorinnovations.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-27).
Search NCBI GEO for gene expression series by topic, returning accession, title, summary, organism, study type, sample count, platform, and linked PubMed IDs
Price / call$0.01
Success—
StatusUnknown
How this service works
Find NCBI GEO gene expression series by topic - accession, title, summary, organism, study type, sample count, platform and linked PubMed IDs
Output
Returns a JSON object containing the interpreted query string, data source label, total match count, number of items returned, and an array of GEO series records each with: accession ID, canonical URL, title, summary, organism, study type, platform name, sample count, publication date, BioProject accession, and linked PubMed IDs.
Example use cases
Literature-linked cancer genomics discovery
“Search for GEO gene expression datasets about colorectal cancer and give me up to 15 results, including the accession numbers, how many samples each study has, and any PubMed IDs so I can read the papers.”
Model organism tissue expression research
“Find me GEO series from mouse liver tissue — I need the accession, platform, organism confirmation, and study type for up to 8 datasets.”
Rare disease transcriptomics exploration
“Look up NCBI GEO datasets on Duchenne muscular dystrophy gene expression — show me the titles, summaries, and linked PubMed IDs for the top results.”
Technical details
Endpoint
GEThttps://saylorinnovations.com/api/bio/geo-datasets?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to discover and retrieve structured metadata about gene expression studies from NCBI GEO — particularly when searching by disease, gene, tissue, or organism. Prefer this over manual NCBI searches when an agent needs machine-readable GEO series metadata including sample counts, platform details, and PubMed links in a single call. This is ideal for bioinformatics research assistants, literature review pipelines, and genomics data discovery workflows.
Side effects
- No datasets found for obscure or misspelled query terms — returns empty datasets array
- Limit parameter outside 1–25 range may be ignored or clamped to defaults
- NCBI GEO upstream API unavailability causing failed or incomplete responses
- Overly broad queries may hit the result cap and miss relevant datasets
- PubMed IDs or BioProject fields may be null for older or incomplete records
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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