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Vealth Michelin Gap Analyzer
x402
Vealth Michelin Gap Analyzer is a paid API for AI agents from vealth.net, paid per call via x402, $0.006/call, status unknown (last checked 2026-09-14).
Analyzes a restaurant or food venue to identify gaps versus Michelin-star standards across cuisine, sustainability, budget, and operational dimensions.
Price / call$0.006
Success—
StatusUnknown
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Output
A JSON object containing a gap analysis report comparing the venue against Michelin-star benchmarks, including identified shortfalls across cuisine quality, sustainability practices, operational scale, and budget positioning, along with prioritized improvement recommendations.
Example use cases
Fine dining restaurant seeking Michelin recognition
“I want a Michelin gap analysis for my venue 'Terra Nobile' — it's an Italian tasting-menu restaurant, budget of $180 per head, about 40 covers per day, seasonal menu yes, and we source sustainable seafood. Tell me where we fall short of Michelin standards.”
Mid-range bistro planning quality upgrade
“Can you analyze the Michelin gaps for my bistro 'Le Coin' — French cuisine, $65 per head budget, 120 covers per day, we don't currently do seasonal menus and we don't use sustainable seafood. I want to know what to fix first.”
Sustainable seafood restaurant benchmarking
“Run a Michelin benchmark analysis on 'Harbour Table' — a seafood-focused restaurant, $90 budget per head, 60 covers a day, seasonal menu yes, sustainable seafood yes. What are the biggest gaps keeping us from Michelin consideration?”
Technical details
Endpoint
POSThttps://vealth.net/.well-known/vealth/michelin-gap-analyzerWhen to prefer
Choose this endpoint when you need a structured, data-driven gap analysis of a specific restaurant or food venue against Michelin-star quality benchmarks. Ideal for restaurateurs, consultants, or AI agents helping hospitality clients understand what operational, culinary, or sustainability improvements are needed to reach fine-dining recognition standards. Prefer over generic restaurant review or rating APIs when the goal is improvement benchmarking rather than consumer discovery.
Side effects
- Missing required venue details may produce a low-confidence or incomplete analysis
- Unsupported or ambiguous cuisine strings may return a generic rather than cuisine-specific assessment
- Extreme or implausible coversPerDay or budgetUsd values may skew benchmark scoring
- API returns generic JSON error if required fields are absent or malformed
- Network or payment processing failure returns HTTP 402 if USDC payment is not settled
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| cuisine | string | |
| seasonal | boolean | |
| budgetUsd | number | |
| venueName | string | |
| coversPerDay | number | |
| sustainableSeafood | boolean |
Output
Schema · Response
{
"type": "json"
}Tags
x402
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