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Mart402 Meal Vision – Meal Photo Nutrition Analyzer
x402
Mart402 Meal Vision – Meal Photo Nutrition Analyzer is a paid API for AI agents from mart402.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-01).
Analyzes a meal photo URL and returns itemized nutrition data (dishes, portions, kcal, macros) with scale calibration, scene complexity, confidence scores, and a 3-run consensus result.
Price / call$0.05
Success—
StatusUnknown
How this service works
Meal photo to nutrition JSON for AI agents: itemized dishes with portions/kcal/macros, reference-object scale calibration (chopsticks/cutlery/phone, with strength grading), scene-complexity detection, a disclosed calibrated kcal range, PFC energy-balance ratios, and deterministic 4/4/9 cross-checks (alcohol-aware). All estimates carry honest confidence + rules_version. Every call is a 3-run consensus: median run reported with per-call spread and item agreement disclosed. 0.05/image.
Output
Returns a JSON object with itemized dishes including estimated portion sizes, kilocalories, and macronutrients (protein, fat, carbohydrates); a calibrated kcal range; PFC energy-balance ratios; reference-object scale calibration with strength grading; scene complexity score; per-call spread from 3-run consensus; item agreement disclosure; confidence scores per item; and a rules_version field.
Example use cases
Daily meal macro logging
“I just ate this bento box — here's the photo: https://example.com/bento.jpg. Can you break down the calories and macros for each item so I can log it in my diet tracker?”
Restaurant portion calorie check
“I'm at a restaurant and took a photo of my pasta dish: https://example.com/pasta.jpg. What's your best estimate of the total kcal and the protein/fat/carb split, and how confident are you?”
Diet coach meal feedback
“My client sent this meal photo: https://example.com/client-meal.jpg. Can you itemize each dish with portions and macros, and give me the PFC energy-balance ratios so I can give them feedback?”
Technical details
Endpoint
POSThttps://mart402.com/v1/meal-vision?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need structured, itemized nutrition data (kcal + macros per dish) extracted directly from a meal photo, especially when accuracy matters and you want honest confidence scores, a disclosed kcal range, and a 3-run consensus methodology. It is particularly strong when reference objects (chopsticks, cutlery, phone) are visible in the photo for scale calibration. Prefer it over generic OCR or LLM vision prompts when you need deterministic 4/4/9 macro cross-checks, PFC ratios, and per-call spread metadata for auditability.
Side effects
- Image URL is inaccessible or returns a non-image response — endpoint cannot fetch the photo
- Image contains no recognizable food items — low confidence scores returned or empty item list
- Poor image quality or extreme occlusion — high uncertainty in kcal range, low confidence scores
- No reference object detected for scale calibration — calibration strength graded as weak or absent
- Network timeout fetching remote image URL
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| image_url | string |
Tags
x402
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