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Friday Seller Tools – Catalog Readiness Check
x402
Friday Seller Tools – Catalog Readiness Check is a paid API for AI agents from friday-seller-tools-production.up.railway.app, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-15).
Checks whether a product's catalog data is complete and ready for marketplace listing on Amazon, Walmart, Shopify, or eBay, returning a queued job ID for async results.
Price / call$0.05
Success—
StatusUnknown
How this service works
Instant, low-cost Amazon, Walmart, Shopify, and eBay listing, upload-preparation, advertising, and image-brief deliverables.
Output
Returns a JSON object with a job_id (string) and status field (e.g. 'queued'), indicating the readiness check has been submitted for asynchronous processing. The agent must poll or retrieve results using the job_id from a separate endpoint.
Example use cases
Pre-launch Amazon listing audit
“Before I submit my new yoga mat to Amazon, can you run a readiness check on SKU 'YM-PRO-2024'? It's by ZenFlex, in the Sports & Outdoors category, priced at $34.99, with features like non-slip surface, 6mm thick, and eco-friendly TPE material. Target audience is yoga enthusiasts.”
Walmart catalog gap analysis
“I want to list my stainless steel water bottle (SKU 'WB-SS-32OZ', brand HydroKing) on Walmart US. Can you check if my catalog data is complete? Features are BPA-free, keeps drinks cold 24 hours, 32oz capacity, and it's priced at $24.99 in the Kitchen & Dining category.”
Multi-field eBay listing validation
“Run a readiness check for my eBay listing — SKU is 'LED-DESK-LMP-7', brand is LumiDesk, category is Home Office Lighting, price $59.99. Features include 5 brightness levels, USB charging port, and flexible gooseneck arm. Let me know what's missing before I go live.”
Technical details
Endpoint
POSThttps://friday-seller-tools-production.up.railway.app/v1/catalog/readiness-checkWhen to prefer
Use this endpoint when you need to pre-validate a product's catalog data completeness before attempting to upload or publish a listing on Amazon US, Walmart US, Shopify, or eBay US. It is the right choice when you want to catch missing fields, formatting issues, or incomplete product facts before they cause rejection at the marketplace level. Prefer this over manual review when automating catalog pipeline quality gates at $0.05 per check.
Side effects
- Missing required fields (product_name, brand, category, features, SKU) returns a 422 validation error
- Invalid SKU format (non-alphanumeric characters) causes a pattern validation failure
- Invalid GTIN format (non-numeric or wrong length) returns a validation error
- Unsupported marketplace value returns an enum validation error
- Network or server errors may return 5xx responses from the Railway-hosted service
- Response only provides a job ID — if the downstream job fails, errors are surfaced asynchronously
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| sku | string | |
| gtin | — | |
| product | object | |
| quantity | integer | |
| image_urls | array | |
| ebay_category_id | — | |
| country_of_origin | — | |
| walmart_product_type | — | |
| ebay_return_policy_id | — | |
| ebay_payment_policy_id | — | |
| shopify_product_category | — | |
| ebay_fulfillment_policy_id | — | |
| ebay_merchant_location_key | — |
Output
Schema · Response
{
"type": "json",
"example": {
"job_id": "example",
"status": "queued"
}
}Tags
x402
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