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NutriPulse Supplement Analysis Endpoint
x402
NutriPulse Supplement Analysis Endpoint is a paid API for AI agents from nutripulse-alpha.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-15).
Analyzes dietary supplements using PubMed-grounded clinical literature to provide evidence-based ingredient analysis, safety profiles, and personalized supplementation guidance
Price / call$0.1
Success—
StatusUnknown
How this service works
Global nutrition intelligence API. PubMed-grounded supplement analysis, macro/micronutrient planning, food database lookups, glucose/metabolic health guidance, lab result interpretation, longevity nutrition protocols, prenatal nutrition, and personalized nutrition stack design. Backed by real-time PubMed abstracts and clinical literature. Serves consumers, dietitians, health coaches, fitness coaches, and AI health agents. iHerb, Amazon, InsideTracker, and Levels CGM affiliate links included. All endpoints support any language via ?lang=. Pricing: $0.08–$0.15 USDC/call via x402 micropayment.
Output
Returns a structured JSON object containing PubMed-grounded analysis of the requested supplement including efficacy evidence, recommended dosage ranges, safety considerations, contraindications, and potentially affiliate links to purchase from iHerb or Amazon.
Example use cases
Example prompt
“Look up the clinical evidence on magnesium glycinate — I want to know if it actually helps with sleep quality, what dosage the research supports, and whether there are any safety concerns with long-term use.”
Technical details
Endpoint
GEThttps://nutripulse-alpha.vercel.app/api/nutrition/supplementWhen to prefer
Choose this endpoint when you need evidence-based supplement analysis grounded in clinical literature (PubMed abstracts) rather than generic health content. Particularly useful for AI health agents, dietitians, and coaches who need citable research backing for supplement recommendations. Prefer over general web search when you want structured, nutrition-domain-specific output with dosage and safety context.
Side effects
- Unknown or obscure supplement name returns no results or empty analysis
- Missing supplement query parameter returns 400 error
- PubMed API rate limits or downtime may degrade evidence quality
- Responses may include affiliate links that could bias recommendations
- Empty example response schema suggests undocumented output structure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| lang | string | lang |
| namerequired | string | name |
Output
Schema · Response
{
"type": "json",
"example": {}
}Tags
x402
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