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Scout Packs — Pack Size Parser
x402
Scout Packs — Pack Size Parser is a paid API for AI agents from scout-packs-production.up.railway.app, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-11).
Parses a product title string to extract pack count, unit size, unit price, and total normalized quantity
Price / call$0.02
Success—
StatusUnknown
How this service works
Verified B2B lead packs and per-lead enrichment lookups for agents. $0.01 per lookup or pack (demand probe). USDC on Base via x402. No account, API key, or subscription.
Output
Returns a JSON object with receipt status, parsed pack_count (number of units), unit_size (e.g. '12oz'), unit_price (price per unit if package price was provided), total_normalized (e.g. '144oz'), and a confidence rating (high/medium/low) indicating how reliably the title was parsed.
Example use cases
Grocery price comparison by unit
“I have a product called 'Kirkland Sparkling Water 35-pack 12oz cans' priced at $14.99 — can you break down the unit size, pack count, and price per can so I can compare it to other options?”
Normalize product catalog pack sizes
“I've got a product title 'Charmin Ultra Soft Toilet Paper 6 Double Rolls' — can you parse out how many rolls are in the pack and what the normalized total is?”
Price-per-unit calculator for shopping agent
“What's the price per ounce for 'Gatorade Thirst Quencher 8-pack 20 fl oz bottles' if the whole pack is $9.49?”
Technical details
Endpoint
GEThttps://scout-packs-production.up.railway.app/packsize?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to programmatically parse pack sizes and unit economics from raw product title strings — particularly for retail, grocery, or CPG product catalogs where titles follow common naming conventions. It is especially useful for price-per-unit comparisons and product normalization pipelines. Prefer this over manual regex or LLM parsing when a structured, confidence-scored JSON response is required.
Side effects
- Ambiguous or malformed product title may yield low confidence score or incorrect unit parsing
- Missing required 'title' query parameter returns an error
- Non-standard packaging descriptions (e.g. 'value bundle', 'family size') may produce low-confidence results
- Price parameter provided in wrong format (non-numeric string) may cause unit_price calculation to fail
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"receipt": "ok",
"unit_size": "12oz",
"confidence": "high",
"pack_count": 12,
"unit_price": "0.75",
"total_normalized": "144oz"
}
}Tags
x402
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