Ebay Sell Analytics API

Name: Sell Analytics API
Brand: Sell Analytics API
Availability: InStock

✓ Official Vendor SpecAnalyticsBusiness Intelligenceoauth24 EndpointsREST

For Agents

Read eBay seller-performance data — traffic reports, customer-service metrics with peer benchmarks, and seller-standards profile ratings. Four user-context endpoints.

Install Jentic One Beta

Connect the Sell Analytics API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Sell Analytics 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.

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 | sh

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 instance

Jentic 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 Sell Analytics API.

Pull a traffic report showing impressions, click-through rate, and sales conversion per listing

Read customer-service metric ratings benchmarked against a peer group of comparable sellers

Retrieve the seller-standards profile (Top Rated / Above Standard / Below Standard) for a programme and cycle

GET STARTED

Start building with Sell Analytics API

Explore with Jentic

View OpenAPI Document

Use Cases

Patterns agents use Sell Analytics API for, with concrete tasks.

★ Performance dashboard in a multi-channel SaaS

Multi-channel seller tools build a unified performance dashboard by calling /traffic_report for impressions and conversion, /customer_service_metric/{type}/{evaluation_type} for shipping, returns, and case rates, and /seller_standards_profile for the headline status badge. The dashboard refreshes daily and surfaces which listings are losing visibility before the seller's status itself slips.

Call /traffic_report for last 30 days on EBAY_US, /customer_service_metric/SHIPMENT_NON_DELIVERY_RATE/CURRENT, and /seller_standards_profile, then render them in a single dashboard

Defect-rate alerting before status downgrade

When a seller approaches the Above Standard threshold for a customer-service metric, the integration reads /customer_service_metric/{type}/PROJECTED and compares it with the seller's peer-group benchmark in the same response. An alert fires when the projected rate exceeds the benchmark by more than the cycle's tolerance, giving the seller time to act before the next evaluation.

Call /customer_service_metric/ITEM_NOT_RECEIVED_RATE/PROJECTED and alert if the rate is above the peerBenchmark.metricValue

Listing-level traffic regression analysis

/traffic_report supports dimension filtering by listingId, so analysts can identify the small set of listings driving most of a marketplace's impression drop. The integration pulls the report at listing granularity for two adjacent date ranges and surfaces the SKUs that lost the most impressions, which feeds back into a Sell Inventory API update job.

Pull /traffic_report by LISTING for the last 30 days and the prior 30, diff impressions per listingId, return the bottom 10

AI agent integration via Jentic

An AI agent that helps a seller diagnose a sales drop searches Jentic for 'eBay seller traffic report'. Jentic returns /traffic_report with its required parameters (dimension, metric, filter). The agent loads the schema, executes the call with a User access token issued through Jentic's vault, and presents the result alongside seller-standards context fetched from /seller_standards_profile.

Use Jentic to search 'eBay seller traffic report', load /traffic_report, and execute it with dimension=LISTING and date range last 30 days

Key Endpoints

4 endpoints — the ebay sell analytics api returns three kinds of seller-performance data — listing traffic reports, customer-service metrics benchmarked against a peer group, and seller-standards profile ratings (top rated, above standard, etc.

METHOD

PATH

DESCRIPTION

GET

/traffic_report

Get listing-level traffic and conversion metrics

GET

/customer_service_metric/{customer_service_metric_type}/{evaluation_type}

Get a customer-service metric with peer benchmark

GET

/seller_standards_profile

List all seller-standards profiles for the seller

GET

/seller_standards_profile/{program}/{cycle}

Get a seller-standards profile for a specific programme and cycle

GET

/traffic_report

Get listing-level traffic and conversion metrics

GET

/customer_service_metric/{customer_service_metric_type}/{evaluation_type}

Get a customer-service metric with peer benchmark

GET

/seller_standards_profile

List all seller-standards profiles for the seller

GET

/seller_standards_profile/{program}/{cycle}

Get a seller-standards profile for a specific programme and cycle

Why Jentic?

Three things that make agents converge on Jentic-routed access.

Credential isolation

eBay OAuth 2.0 User refresh tokens are stored encrypted in the Jentic vault (MAXsystem). Agents receive a scoped access token for the sell.analytics scope only — the refresh token, client secret, and seller OAuth consent never enter the agent's context.

Intent-based discovery

Agents search by intent (e.g., 'eBay seller traffic report') and Jentic returns the matching /traffic_report or /customer_service_metric operation with its parameter schema, so the agent calls the right endpoint without parsing eBay's seller documentation.

Time to first call

Direct integration: 3-5 days for OAuth Authorization Code flow, dimension/metric parameter handling, and time-series joining across the four endpoints. Through Jentic: under 1 hour — search, load schema, execute.

FAQs

Specific to using Sell Analytics API through Jentic.

What authentication does the Sell Analytics API use?

The Sell Analytics API uses OAuth 2.0 with the Authorization Code grant — all four endpoints operate in the authenticated seller's context, so a User access token is required. Through Jentic, the seller's refresh token lives in the MAXsystem vault and the agent receives only a scoped access token for the sell.analytics scope.

Can I get listing-level traffic metrics with the Sell Analytics API?

Yes. /traffic_report accepts a dimension parameter that includes LISTING, so you can pull impressions, click-through rate, and sales conversion per listingId. Filter by date range and marketplace to narrow the result set, then aggregate client-side as needed.

What are the rate limits for the Sell Analytics API?

Sell Analytics falls under the Sell APIs user-context daily quota issued per application-and-user pair. Call /user_rate_limit on the Developer Analytics API and inspect the sell.analytics entry to see the current seller's remaining call count and reset window.

How do I retrieve the seller-standards profile through Jentic?

Search Jentic for 'get eBay seller standards profile', load GET /seller_standards_profile (or /seller_standards_profile/{program}/{cycle} for a specific programme), and execute it with the seller's User access token. Install with pip install jentic. Sign up at https://app.jentic.com/sign-up.

What customer-service metrics are supported by the API?

Supported customer_service_metric_type values include ITEM_NOT_RECEIVED_RATE, RETURN_RATE, CLAIMS_AND_DISPUTES_RATE, SHIPMENT_NON_DELIVERY_RATE, and TRACKING_UPLOAD_RATE among others. The evaluation_type can be CURRENT (the active evaluation cycle) or PROJECTED (the projected end-of-cycle value).

Does the response include peer-group benchmarks?

Yes. Each customer-service metric response includes a peerBenchmark block with the comparable seller group's metric value, so you can render 'your rate vs. peer rate' without an extra call. The peer group is selected by eBay based on category, sales volume, and marketplace.