acp-product-feed

name	acp-product-feed
description	Build product feed generation and submission for ACP. Use when implementing product catalog export, feed formatting (CSV/JSON/XML/TSV), feed validation, and push-based catalog sync to the agent platform.
allowed-tools	Read, Write, Edit, Bash, Grep, Glob, WebSearch, WebFetch

ACP Product Feed

Before writing code

Fetch live docs: Fetch https://developers.openai.com/commerce/product-feeds/spec for the exact feed field specifications, supported formats, required vs optional fields, and submission endpoint.

Also web-search site:developers.openai.com commerce feed for any updates to feed requirements.

Conceptual Architecture

What Product Feeds Do

ACP uses a push model for product discovery. Merchants generate structured product data files and push them to the agent platform's ingestion endpoint. The agent (ChatGPT) indexes this data to surface products in conversational shopping.

Feed Formats

Four supported formats:

• CSV — Comma-separated, with header row
• JSON — Array of product objects
• XML — Structured product elements
• TSV — Tab-separated, with header row

Feed Fields (~40+ fields across 15 categories)

Key field categories include:

1. Identification — Product ID, title, brand, SKU, GTIN/UPC/EAN
2. Pricing — Price, sale price, currency, price effective dates
3. Media — Image URLs, additional images, product page URL
4. Fulfillment — Availability, shipping info, condition, fulfillment type
5. Attributes — Category, description, color, size, material, gender, age group, custom attributes
6. Eligibility — is_eligible_search (controls ChatGPT search visibility), is_eligible_checkout (controls ChatGPT checkout visibility) — both are critical required fields
7. Seller Info — seller_name, seller_url, target_countries, store_country — required fields identifying the merchant and market

Refresh Frequency

Feeds can be refreshed up to every 15 minutes. Merchants should refresh more frequently for volatile data (pricing, stock) and less frequently for static data (descriptions, images).

Key Concepts

• Product variants — Size/color/material variants are separate feed entries linked by a group ID
• Availability signals — in_stock, out_of_stock, pre_order, backorder, unknown
• Price formatting — Check feed spec for exact format (may differ from checkout's integer minor units)
• Image requirements — Minimum resolution, accepted formats, primary vs additional images
• Category taxonomy — Standard category paths for product classification

Use Cases

• E-commerce catalog export
• Shopify/WooCommerce product sync
• Multi-channel product distribution
• Inventory-aware feed generation (suppress out-of-stock)
• Scheduled feed refresh pipelines

Best Practices

• Validate feed against the spec schema before submission
• Include GTIN/UPC when available for better product matching
• Use high-quality primary images (min resolution per spec)
• Set appropriate refresh intervals based on data volatility
• Handle feed generation errors gracefully — partial feeds are better than no feeds
• Log submission responses for debugging

Fetch the feed spec for exact field names, types, constraints, validation rules, and the submission endpoint URL before implementing.