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US Brand Offer Evidence Normalizer
x402
US Brand Offer Evidence Normalizer is a paid API for AI agents from api.timzinin.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-14).
Normalizes and standardizes US brand promotional offer evidence records into a consistent structured format
Price / call$0.05
Success—
StatusUnknown
How this service works
Pay-per-call data & tool APIs
Output
Returns normalized, structured offer evidence rows with standardized promotional terms including offer kind, discount values, coupon codes, validity dates, channels, exclusions, geographic scope, member-only flags, and entity attribution — all mapped to a canonical schema for downstream consumption.
Example use cases
Retailer promo feed normalization
“I've scraped coupon data from several US retailer sites and need it normalized — can you process this batch for BestBuy (entityId: 'bestbuy-001', country: 'US', domain: 'bestbuy.com') with a percent_off evidence record: 15% off electronics observed at https://bestbuy.com/deals on 2024-12-01, source 'bestbuy_official', rawTitle 'Holiday Deals', rawTermsText '15% off select electronics, exclusions apply'?”
Coupon code evidence standardization
“Normalize this coupon code offer for Gap (entityId: 'gap-us-002', brandName: 'Gap', country: 'US', domain: 'gap.com'): it's a coupon_code type deal with code SAVE30 for 30% off, observed at https://gap.com/coupons on 2024-10-15, sourced from 'gap_promo_feed', rawTitle 'Fall Savings Event', rawTermsText '30% off full-price styles with code SAVE30, member only'.”
Aggregator deal data cleaning pipeline
“I'm building a deal aggregator and need to standardize offer evidence from multiple brands — please normalize this free_shipping offer for Amazon (entityId: 'amazon-us-003', brandName: 'Amazon', country: 'US', domain: 'amazon.com') observed at https://amazon.com/shipping on 2024-11-20, source 'amazon_deals', rawTitle 'Free Shipping Event', rawTermsText 'Free shipping on orders over $25, select items'.”
Technical details
Endpoint
POSThttps://api.timzinin.com/api/us-brand-offer-evidence-normalizerWhen to prefer
Use this endpoint when you have raw, heterogeneous US brand promotional offer evidence (scraped, aggregated, or user-supplied) and need it normalized into a canonical structured schema. Prefer this over generic ETL tools when your data specifically contains brand offer attributes like percent off, coupon codes, buy-X-get-Y, free shipping, or gift-with-purchase terms that need standardized field mapping and entity attribution.
Side effects
- Missing required entity fields (entityId, brandName, country) returns validation error
- Invalid country code format (not 2-letter ISO) causes schema rejection
- Evidence type or offerKind enum mismatch returns 422 unprocessable entity
- Malformed URL in sourceUrl causes input validation failure
- Empty or missing rawTermsText may yield incomplete normalized output
- Payment not included or insufficient ($0.05 USDC required) returns 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| options | object | |
| datasetId | string | |
| requestId | string | |
| schemaVersion | string | |
| openrouterApiKey | string |
Tags
x402
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