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Qty Size Interpreter
x402
Qty Size Interpreter is a paid API for AI agents from qty.vercel.app, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-12).
Interprets messy clothing/shoe size strings and converts them to standardized size quantities across sizing systems
Price / call$0.002
Success—
StatusUnknown
How this service works
Qty converts known units for free and interprets messy quantities, prices, recipes, sizes, and dates in code. It never invents a number.
Output
Returns a JSON object containing a list of quantities, each with a numeric value, a unit (e.g. 'EU'), and a definitionId identifying the sizing standard used (e.g. 'size.shoe.men.v1'). Also includes links to documentation, MCP endpoint, and related discovery resources.
Example use cases
Cross-border shoe size conversion
“I'm buying sneakers from a European store and my US men's shoe size is 10.5 — what EU size should I order?”
Normalize scraped product size labels
“I scraped a product listing that says the shoe size is '43 EU' for men — can you convert that to US sizing so I know what it is?”
Standardize sizes in a shopping assistant
“A customer told me they wear a men's size 9 in the US — what's the equivalent EU size I should filter by on this European retailer site?”
Technical details
Endpoint
GEThttps://qty.vercel.app/v1/size?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need deterministic, rule-based size conversions (shoe or clothing) without risk of hallucinated numbers. Prefer it over an LLM's built-in reasoning when you need guaranteed accuracy and an auditable definition ID for the conversion standard used. Ideal for e-commerce agents normalizing product data across international retailers.
Side effects
- Missing required 'path' or 'price' query parameters returns an error
- Unrecognized or ambiguous size strings that don't map to a known sizing system may return empty quantities
- Malformed query parameters result in a 400-level error
- Payment failure (x402) blocks the request if USDC payment is not properly included
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"see": {
"mcp": "/mcp",
"docs": "/docs",
"llms": "/llms.txt",
"x402": "/.well-known/x402.json",
"openapi": "/openapi.json",
"llmsFull": "/llms-full.txt",
"agentCard": "/.well-known/agent-card.json"
},
"quantities": [
{
"unit": "EU",
"value": 43,
"definitionId": "size.shoe.men.v1"
}
]
}
}Tags
x402
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