Overview

Amazon's 13000 series error codes are feed processing errors that sellers encounter when uploading product data through Seller Central, flat files, or API integrations. These errors typically indicate problems with product listing data such as missing required fields, invalid values, or formatting issues. Understanding these codes is essential for sellers who manage large catalogs or rely on bulk uploads to keep their listings accurate and live.

Key Points / What Sellers Need to Know

• Feed processing errors halt listings — When a 13000 series error occurs, the affected product data in your feed will not be processed, meaning your listing changes will not go live until the error is resolved.
• Data validation is the root cause — Nearly all 13000 series errors stem from invalid, missing, or improperly formatted product data fields submitted through feeds or flat files.
• Error codes are specific — Each code in the series (13001 through 13100) points to a distinct data issue, allowing sellers to pinpoint exactly which field or value needs correction.
• Batch uploads are most affected — Sellers who use flat file uploads, inventory loader files, or SP-API feeds are far more likely to encounter these errors than those editing listings one at a time in Seller Central.
• Resolution requires feed correction — Fixing these errors involves reviewing the rejected rows in your feed processing report, correcting the data, and resubmitting the feed.

Common Error Codes and Their Causes

The 13000 series encompasses a range of data validation failures. Error 13001 typically relates to missing or invalid SKU data, while errors 13002 through 13004 often flag issues with required product attributes such as title, brand, or product type. Error codes 13006 and 13007 generally indicate problems with item condition or pricing fields. Errors 13009 through 13013 frequently involve quantity, fulfillment channel, or shipping-related data mismatches. The higher-numbered codes in the series — 13037 through 13043 and 13100 — tend to address more specific attribute validation failures, including image URLs, product descriptions, bullet points, or category-specific required fields that are missing or incorrectly formatted.