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NutriPulse Nutrition Plan API
x402
NutriPulse Nutrition Plan API is a paid API for AI agents from nutripulse-alpha.vercel.app, paid per call via x402, $0.15/call, status unknown (last checked 2026-10-13).
Generates personalized nutrition plans grounded in PubMed clinical literature, covering macros, micronutrients, supplements, and metabolic health protocols
Price / call$0.15
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 nutrition plan including personalized macro and micronutrient targets, evidence-based supplement recommendations with PubMed citations, metabolic and glucose health guidance, and optionally longevity or prenatal protocols, all grounded in clinical literature.
Example use cases
Example prompt
“Can you build me a personalized nutrition plan for a 34-year-old woman focused on metabolic health and longevity — include supplement recommendations backed by clinical research, macro targets, and any micronutrients I should prioritize?”
Technical details
Endpoint
GEThttps://nutripulse-alpha.vercel.app/api/nutrition/plan?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an agent needs evidence-based, PubMed-grounded personalized nutrition planning — especially for supplement stacks, metabolic health, longevity protocols, or prenatal nutrition — rather than a generic food tracker or simple calorie counter. Particularly useful when clinical credibility and multi-language support are required.
Side effects
- Missing or insufficient health goal parameters may return a generic plan rather than personalized output
- Unsupported language codes via ?lang= may fall back to English without warning
- Empty or overly broad input schema may result in incomplete or low-specificity recommendations
- Clinical literature may be outdated if PubMed sync is delayed
- Affiliate links in response (iHerb, Amazon) may be broken or region-locked
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| diet | string | diet |
| goal | string | goal |
| lang | string | lang |
| calories | integer | calories |
Output
Schema · Response
{
"type": "json",
"example": {}
}Tags
x402
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