Use case
Brands using feed management platforms produce multiple distinct product feeds — one for Google Shopping, one for Bing, one for Meta, one for Pinterest, one for TikTok Shop, one for Amazon, one for Walmart, and more. Each feed may have different field mappings, titles, and attribute formats. Managing 5–10+ separate feeds per product catalog is the norm, and keeping them in sync is a constant operational challenge.
The risk is real: a price change or inventory update propagates correctly to Google Shopping but lags on Meta or Pinterest. Nobody notices until ad spend is wasted promoting the wrong price, or a product shows as available on one channel while it's been out of stock for hours on another. Manual spot-checking doesn't scale when you have thousands of SKUs across half a dozen feeds.
Catalogian solves this by letting you connect all of your feeds as separate sources and monitor them from one place. Pull in your Google feed, Meta feed, Pinterest feed, Amazon feed, and any others — each as its own source with independent change tracking. When a row changes in one feed but not another, Catalogian flags it as a delta event. You see the divergence instantly, before it causes downstream problems.
Comparison is row by row: Catalogian matches rows by identifier (SKU, product_id, GTIN) and compares the full row data across snapshots. When a change appears in your Google feed but the same SKU in your Meta feed still has the old value, that mismatch shows up as a delta event you can act on — via webhook, API query, or AI agent.
How it works
01
Add each feed as a separate source in Catalogian — your Google Shopping feed, Meta feed, Pinterest feed, Amazon feed, and any others. Each source gets independent change tracking and its own API endpoints.
02
On each ingest, Catalogian diffs every feed independently. When SKU-1234 shows a price of $29.99 in your Google feed but $34.99 in your Meta feed, that row mismatch appears as a delta event. You catch sync gaps the moment they happen.
03
Configure webhooks per source to notify your team on Slack, email, or any HTTP endpoint. Build routing rules: alert the Google Shopping team when that feed diverges, the social team when Meta or Pinterest lag behind. Or let AI agents query all sources via MCP to generate cross-feed sync reports.
Compare a SKU across Google and Meta feeds
# Check SKU-1234 in your Google Shopping feed: curl -s "https://catalogian.com/v1/sources/src_google/snapshots/latest/rows?filter=sku:SKU-1234" \ -H "Authorization: Bearer cat_sk_live_..." | jq '.rows[0].price' # "29.99" # Check the same SKU in your Meta feed: curl -s "https://catalogian.com/v1/sources/src_meta/snapshots/latest/rows?filter=sku:SKU-1234" \ -H "Authorization: Bearer cat_sk_live_..." | jq '.rows[0].price' # "34.99" # Price mismatch detected — Meta feed is stale
Frequently asked questions
Each feed is a separate source. The Brand plan includes 3 sources, Agency includes 25, and Enterprise is unlimited. Most brands connect one source per channel — Google, Meta, Pinterest, Amazon, Walmart, TikTok Shop, etc.
Each feed is tracked independently with its own delta history. You can query the API to compare the latest snapshot of your Google feed against your Meta feed, matching rows by SKU or product ID. Any row where values differ across feeds indicates a sync gap.
Yes. Configure webhooks per source. When your Google feed updates but your Meta feed doesn't change in the same window, the webhook fires only for Google — making it clear which feeds are current and which are lagging.
Row by row. Catalogian matches rows by identifier (SKU, product_id) and compares the full row data. When a row changes, you get the complete before-and-after row contents, making it easy to see exactly what diverged.
Free plan includes 1 source and 50,000 SKUs. No credit card required.
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