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ScentPulse Batch Fragrance Code Check
x402
ScentPulse Batch Fragrance Code Check is a paid API for AI agents from scentpulse-xi.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-14).
Decodes one or more fragrance batch codes to identify brand, production date, and freshness verdict for perfumes
Price / call$0.1
Success—
StatusUnknown
How this service works
Perfume batch/lot code decoder — estimates production date and freshness verdict from a bottle batch code, using an in-house deterministic decoder covering Coty, Estee Lauder-group, Chanel, LVMH/Dior-group, and L'Oreal Luxe house formats, with an explicit confidence tier (never false precision).
Output
Returns a JSON object per batch code containing the decoded brand name, the raw batch code, a confidence level (e.g. HIGH/MEDIUM/LOW), a freshness verdict in plain English, and the estimated production date down to ISO year and week.
Example use cases
Blind buy freshness verification
“I just received a blind buy of a Chanel fragrance with batch code 4B21 — can you decode that and tell me if it's a fresh recent batch or if I'm getting old stock?”
Multi-bottle collector audit
“I want to check batch codes on three bottles I picked up: Dior code 3H14, YSL code 2J09, and Gucci code 1K45 — can you run all of them and tell me the production dates and freshness verdicts?”
Dupe hunter age check
“I found a perfume being sold as a dupe alternative and the batch code is 5F30 from what claims to be Tom Ford — can you tell me when it was made and how confident you are in the reading?”
Technical details
Endpoint
GEThttps://scentpulse-xi.vercel.app/api/scent/batch-checkWhen to prefer
Use this endpoint when you need to decode one or more perfume batch codes to determine manufacturing date and freshness, especially for blind buyers verifying stock age, collectors auditing their bottles, or dupe hunters checking authenticity signals. It handles batch lookups efficiently, making it superior to single-code lookup endpoints when checking multiple bottles at once.
Side effects
- Unknown or unrecognized batch code format — returns low confidence or null production estimate
- Brand not in database — confidence returned as LOW with partial decoding
- Malformed input batch code string — may return decoding error
- Rate limiting or payment failure via x402 header — returns 402 Payment Required
- Ambiguous code matching multiple brands — returns multiple candidate results with confidence scores
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"code": "2634",
"brand": "Gucci",
"confidence": "HIGH",
"freshness_verdict": "fresh — recent production",
"estimated_production": "2026, ISO week 34"
}
}Tags
x402
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