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GoCreative NIH Grants Search
x402
GoCreative NIH Grants Search is a paid API for AI agents from api.gocreativeai.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-08).
Search NIH grant awards by keyword and return matching grants with institution, award amount, PI, and project details
Price / call$0.05
Success—
StatusUnknown
How this service works
Keyless, pay-per-call compliance & regulated-data API for AI agents — OFAC wallet + sanctions/PEP + KYB screening, SEC filings, FRED economics, FDA recalls, federal awards, plus continuous monitoring. USDC on Base/Solana via x402, native MCP. No API key, no signup.
Output
Returns a list of NIH grant records matching the search keyword, each including project title, institution name, city, state, fiscal year, award amount in USD, project number, and principal investigator name. Also returns total count of matching grants.
Example use cases
Example prompt
“Search NIH grants for 'climate change and health' and show me which institutions are getting funded, how much, and who the principal investigators are.”
Technical details
Endpoint
GEThttps://api.gocreativeai.com/v1/leads/nih-grants/%7Barg%7DWhen to prefer
Use this endpoint when you need to find real NIH grant data by topic keyword — ideal for researchers, grant writers, journalists, or AI agents that need to identify who is federally funded in a given research domain. Prefer over general web search when you need structured, queryable grant data from official NIH sources.
Side effects
- No grants found for obscure or misspelled keyword — returns empty grants array with count 0
- Network timeout for very broad queries returning large result sets
- 402 Payment Required if USDC payment not included or insufficient
- Invalid or missing 'input' query parameter returns 400 error
Input
{
"arg": "artificial intelligence"
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Output
{
"count": 15,
"query": "artificial intelligence",
"grants": [
{
"city": "STANFORD",
"state": "CA",
"fiscal_year": 2026,
"institution": "STANFORD UNIVERSITY",
"award_amount": 640955,
"project_title": "Improving Generalizability in Artificial Intelligence Algorithms for Glaucoma",
"project_number": "5R01EY036893-02",
"principal_investigator": "Sophia Ying Wang"
},
{
"city": "PORTLAND",
"state": "OR",
"fiscal_year": 2026,
"institution": "OREGON HEALTH & SCIENCE UNIVERSITY",
"award_amount": 169701,
"project_title": "Data Science and Artificial Intelligence Core",
"project_number": "5P30EY010572-32",
"principal_investigator": "John Peter Campbell"
},
{
"city": "HONOLULU",
"state": "HI",
"fiscal_year": 2026,
"institution": "UNIVERSITY OF HAWAII AT MANOA",
"award_amount": 2647500,
"project_title": "Pacific Center for Artificial Intelligence and Data Science in Medicine (PAC-AID)",
"project_number": "1P20GM161995-01",
"principal_investigator": "Youping Deng; JOHN Alan SHEPHERD"
},
{
"city": "HONOLULU",
"state": "HI",
"fiscal_year": 2026,
"institution": "UNIVERSITY OF HAWAII AT MANOA",
"award_amount": 626000,
"project_title": "Medical Artificial Intelligence Core (MEDAI Core)",
"project_number": "1P20GM161995-01",
"principal_investigator": "Yuanyuan Fu"
},
{
"city": "OKLAHOMA CITY",
"state": "OK",
"fiscal_year": 2026,
"institution": "OKLAHOMA MEDICAL RESEARCH FOUNDATION",
"award_amount": 230175,
"project_title": "Artificial Intelligence and Machine Learning Core",
"project_number": "5P20GM156711-02",
"principal_investigator": "Jonathan Daniel Wren"
},
{
"city": "ANN ARBOR",
"state": "MI",
"fiscal_year": 2026,
"institution": "UNIVERSITY OF MICHIGAN AT ANN ARBOR",
"award_amount": 1364793,
"project_title": "Preventing Medication Dispensing Errors in Pharmacy Practice with Risk-sensitive Artificial Intelligence",
"project_number": "1R01LM015213-01",
"principal_investigator": "Raed Al Kontar; Corey A Lester; X. Jessie Yang"
},
{
"city": "HOUSTON",
"state": "TX",
"fiscal_year": 2026,
"institution": "UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON",
"award_amount": 578830,
"project_title": "PREDICT: Advancing Periodontitis Care with Artificial Intelligence (AI)-Driven Diagnostics and Clinical Decision Support",
"project_number": "1R01DE035894-01",
"principal_investigator": "Xiaoqian Jiang; Chun-Teh Lee; Shayan Shams; MUHAMMAD WALJI"
},
{
"city": "STANFORD",
"state": "CA",
"fiscal_year": 2026,
"institution": "STANFORD UNIVERSITY",
"award_amount": 274148,
"project_title": "Artificial Intelligence Analysis of Myopic Vitreoretinal Pathology",
"project_number": "5K23EY035741-03",
"principal_investigator": "Chase Axel Ludwig"
},
{
"city": "STANFORD",
"state": "CA",
"fiscal_year": 2026,
"institution": "STANFORD UNIVERSITY",
"award_amount": 522038,
"project_title": "Intraoperative integration of artificial intelligence during cystoscopic surgery",
"project_number": "5R01CA260426-05",
"principal_investigator": "JOSEPH C LIAO; Lei Xing"
},
{
"city": "ROCHESTER",
"state": "MN",
"fiscal_year": 2026,
"institution": "MAYO CLINIC ROCHESTER",
"award_amount": 643606,
"project_title": "Artificial Intelligence-powered Advanced Ultrasound for Early Diagnosis of Intraocular Melanoma",
"project_number": "1R01CA304060-01A1",
"principal_investigator": "Azra Alizad; MOSTAFA FATEMI"
},
{
"city": "SAN FRANCISCO",
"state": "CA",
"fiscal_year": 2026,
"institution": "UNIVERSITY OF CALIFORNIA, SAN FRANCISCO",
"award_amount": 680520,
"project_title": "Multimodality spatial analysis in prostate cancer to improve prognostic estimation and cast light into the black box of pathology artificial intelligence algorithms",
"project_number": "5R01CA296792-02",
"principal_investigator": "Matthew R Cooperberg"
},
{
"city": "SEATTLE",
"state": "WA",
"fiscal_year": 2026,
"institution": "UNIVERSITY OF WASHINGTON",
"award_amount": 664680,
"project_title": "Transforming Resuscitation through Artificial INtelligence (TRAIN Study)",
"project_number": "5R01HL169323-04",
"principal_investigator": "THOMAS D REA"
},
{
"city": "STANFORD",
"state": "CA",
"fiscal_year": 2026,
"institution": "STANFORD UNIVERSITY",
"award_amount": 541116,
"project_title": "Radiomics approach to engineering an artificial intelligence based echocardiography platform to predict cardiovascular surgery and heart failure outcomes.",
"project_number": "5R01HL157235-05",
"principal_investigator": "William Hiesinger"
},
{
"city": "BOSTON",
"state": "MA",
"fiscal_year": 2026,
"institution": "BRIGHAM AND WOMEN'S HOSPITAL",
"award_amount": 703697,
"project_title": "An Artificial Intelligence Coaching System to Improve Surgical Performance in Urologic Endoscopy",
"project_number": "5R01EB036877-02",
"principal_investigator": "Roger Daglius Dias; Matthew Gombolay; Daniel Arthur Wollin"
},
{
"city": "BOSTON",
"state": "MA",
"fiscal_year": 2026,
"institution": "MASSACHUSETTS GENERAL HOSPITAL",
"award_amount": 133077,
"project_title": "Multi-Modal Biomedical Data Fusion via Artificial Intelligence (AI)",
"project_number": "1K99EB037082-01A1",
"principal_investigator": "Anees Kazi"
}
],
"source": "NIH RePORTER"
}Tags
x402
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