Ebay Recommendation API
Browse all Ebay APIs✓ Official Vendor SpecE CommerceStorefrontoauth21 EndpointsREST
For Agents
Get eBay seller recommendations for which listings to promote and the suggested ad-rate strategy via a single find endpoint.
Use for: Get Promoted Listings recommendations for my top 100 active listings, Find which of my listings eBay recommends I promote with paid ads, Retrieve the suggested ad-rate strategy for a specific listingId, Check whether eBay recommends a listing for Promoted Listings
Not supported: Does not handle campaign creation, bidding execution, or analytics reporting — use for eBay Promoted Listings recommendations and suggested ad-rate strategies only.
The eBay Recommendation API gives sellers programmatic recommendations to improve their listings, starting with Promoted Listings ad recommendations. Its single endpoint, POST /find, returns recommended actions for one or more listingIds, telling the seller which listings would benefit from being promoted and the suggested ad-rate strategies. Sellers integrate it with Promoted Listings flows so they only spend ad budget on listings eBay's models predict will respond.
Install Jentic One Beta
Connect the Recommendation API to your agent
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Recommendation API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.
Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.
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Step 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh2
Step 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
jentic register # connects your agent to your Jentic One instanceJentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.
Capabilities
What an agent can do with Recommendation API.
Retrieve eBay's Promoted Listings recommendations for a batch of listingIds
Identify listings predicted to benefit most from being promoted with paid ads
Get suggested ad-rate strategies for each recommended listing
Filter recommendations by listing characteristics passed in the request body
Pre-qualify Promoted Listings campaigns before bidding by surfacing eBay's data-driven picks
Use Cases
Patterns agents use Recommendation API for, with concrete tasks.
★ Smart Promoted Listings Campaign Building
Rather than promoting every active listing, sellers can call POST /find with their listingIds and receive eBay's recommendation on which would benefit from being promoted. The response includes suggested ad-rate strategies so the seller can start a campaign with eBay-informed bids. This typically improves ROAS because budget concentrates on listings with predicted lift.
POST /find with the seller's top 100 active listingIds and read the recommendation response to choose which to promote.
Periodic Ad-Rate Strategy Refresh
Marketplace dynamics shift, so the recommended ad-rate for a listing changes over time. Sellers schedule a recurring job that calls POST /find on their full active inventory to refresh the suggested ad-rates and update the corresponding Promoted Listings ads via the Marketing API. The combined flow keeps bids aligned with eBay's current recommendations.
Run POST /find weekly across active listings, compare the recommended ad-rates with current bids, and update bids via the Marketing API where the recommendation has changed.
Decision Support for Manual Sellers
Smaller sellers who manage campaigns by hand can use a one-shot recommendation pull to decide where to put their first ad budget. The Recommendation API exposes which listings eBay's models predict will respond to paid promotion and the recommended starting bid, so a seller without paid-search experience has a sensible baseline.
Call POST /find with all of the seller's active listingIds and present the top 10 recommendations to the seller as a starting Promoted Listings shortlist.
AI Agent Promoted Listings Curator
An AI agent integrated with a seller's commerce platform can use Jentic to discover the Recommendation API, pull recommendations, and orchestrate Promoted Listings creation through the Marketing API in a single workflow. The agent uses recommendations as the input to a campaign-launch step and can re-evaluate weekly without seller intervention.
Through Jentic, search 'get ebay promoted listings recommendations', load the POST /find schema, and execute it to build a Promoted Listings campaign from the recommended listings.
Key Endpoints
1 endpoints — the ebay recommendation api gives sellers programmatic recommendations to improve their listings, starting with promoted listings ad recommendations.
METHOD
PATH
DESCRIPTION
POST
/find
Get Promoted Listings recommendations for a batch of listingIds
POST
/find
Get Promoted Listings recommendations for a batch of listingIds
Why Jentic?
Three things that make agents converge on Jentic-routed access.
Credential isolation
OAuth 2.0 client credentials and refresh tokens for the sell.marketing scope used by Recommendation calls are stored encrypted in the Jentic vault. Agents receive short-lived access tokens scoped to the operation and never see the raw secret.
Intent-based discovery
Agents search 'get ebay promoted listings recommendations' and Jentic returns the POST /find operation with its input schema for listingIds and filters, so the agent can call it without reading eBay developer docs.
Time to first call
Direct integration with the eBay Recommendation API takes 1-2 days for OAuth and request shaping. Through Jentic the search-load-execute flow is under an hour once the seller account is connected.
Related APIs
Alternatives and complements available in the Jentic catalogue.
FAQs
Specific to using Recommendation API through Jentic.
What authentication does the eBay Recommendation API use?
The eBay Recommendation API uses OAuth 2.0 (the api_auth scheme) with seller-scoped tokens. Through Jentic, the OAuth client credentials are stored encrypted in the Jentic vault and the agent receives only short-lived scoped access tokens at call time.
Can I get Promoted Listings recommendations for my eBay inventory?
Yes. POST /find accepts an array of listingIds and returns eBay's recommendation on which to promote, along with the suggested ad-rate strategy for each recommended listing.
What are the rate limits for the eBay Recommendation API?
The Recommendation API shares the eBay Sell API call quota tied to the seller's Application Growth Check tier rather than per-endpoint limits in the spec. Batching listingIds in a single POST /find keeps call volume low at scale.
How do I get Promoted Listings recommendations through Jentic?
Search 'get ebay promoted listings recommendations' in Jentic, load the POST /find schema, pass an array of listingIds, and Jentic executes the call. The response identifies which listings to promote and at what ad-rate.
Does the eBay Recommendation API give recommendations for non-Promoted-Listings actions?
No. Today the spec exposes only Promoted Listings recommendations through the find endpoint. Other recommendation types are not part of this API surface.
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