For Agents
Read live eBay API quota usage — calls remaining, window length, and reset time — for any eBay REST or Trading API resource. Two endpoints.
Get started with Developer Analytics API in minutes using your preferred integration method.
# Add to your MCP client config (Claude Desktop, Cursor, Windsurf)
{
"jentic": {
"url": "https://api.jentic.com/mcp",
"auth": "oauth"
}
}
# Then ask your agent:
"check eBay API quota and remaining calls"
# → Jentic returns the GET /events tool with parameter schema, agent executes.What an agent can do with Developer Analytics API API.
Fetch application-level remaining-call counts for every eBay REST resource via /rate_limit
Fetch per-user remaining-call counts for user-context endpoints via /user_rate_limit
Read the rolling-window length and reset timestamp for any eBay API quota
Drive client-side throttling before hitting eBay's hard rate-limit wall
GET STARTED
Use for: Get my application's remaining call quota for the Browse API, Check whether the Sell Inventory API quota is about to reset, List all eBay API resources and their current call limits for my keyset, Retrieve user-level rate limits for the authenticated eBay seller
Not supported: Does not handle business analytics, sales reporting, or traffic metrics — use for reading API rate-limit and quota status only.
The eBay Developer Analytics API exposes the call-limit and quota state of every eBay REST API and the legacy Trading API for a given application or user. Two endpoints — /rate_limit and /user_rate_limit — return per-resource quotas, calls remaining, time until window reset, and the length of the rolling window itself. Applications use it to throttle their own request rate before eBay rejects calls, and to alert engineering when a quota is about to run out. /rate_limit reports application-level limits and accepts a Client_Credentials access token; /user_rate_limit reports per-user limits and requires a User token from the authorization-code grant.
Trigger pager alerts when an application's daily quota for a resource drops below a threshold
Compare quota burn across multiple eBay APIs (Browse, Inventory, Fulfillment, etc.) from one endpoint
Patterns agents use Developer Analytics API API for, with concrete tasks.
★ Pre-flight quota check before a bulk job
Before launching a bulk catalogue refresh against the Browse or Item Feed APIs, an integration calls /rate_limit and inspects the remaining quota for the relevant resource. If fewer calls remain than the job needs, the integration delays until the next reset window rather than failing partway through with HTTP 429 responses.
Call /rate_limit, find the entry where api='buy' and resource='browse', and abort the job if remaining < 10000
User-level quota dashboard for a multi-tenant app
Multi-tenant SaaS tools that act on behalf of many eBay sellers call /user_rate_limit per connected seller to render a per-tenant dashboard of remaining calls. This catches the case where one seller's heavy use exhausts their user-level quota even though the application-level quota is healthy.
For each connected seller, call /user_rate_limit with their User token and persist the rate-limit array to the tenant_usage table
Alerting on quota exhaustion
Operations teams pipe /rate_limit responses into their monitoring stack (Datadog, Prometheus) on a 5-minute schedule. Alerts fire when remaining drops below 10% of the window allowance, so engineers can pause non-essential workloads before customer-facing flows start hitting 429s.
Every 5 minutes call /rate_limit, emit a metric per (api, resource) pair, and alert when remaining/limit < 0.1
AI agent integration via Jentic
An AI agent that orchestrates several eBay APIs queries Jentic with 'check eBay API quota' and Jentic returns the /rate_limit operation. The agent loads its schema and executes the call before scheduling a long-running task — when remaining quota is low for a target resource, the agent re-plans or defers the task until after the window reset, avoiding mid-run failures.
Use Jentic to search 'check eBay API quota', load /rate_limit, and execute it; if remaining for buy.browse < 100, defer the planned bulk lookup
2 endpoints — the ebay developer analytics api exposes the call-limit and quota state of every ebay rest api and the legacy trading api for a given application or user.
METHOD
PATH
DESCRIPTION
/rate_limit/
Get application-level rate-limit and quota status
/user_rate_limit/
Get per-user rate-limit and quota status
/rate_limit/
Get application-level rate-limit and quota status
/user_rate_limit/
Get per-user rate-limit and quota status
Three things that make agents converge on Jentic-routed access.
Credential isolation
eBay OAuth 2.0 Application and User credentials are both stored encrypted in the Jentic vault (MAXsystem). The agent receives the scoped access token appropriate to /rate_limit or /user_rate_limit — the underlying client secret and user refresh token never enter the agent's context.
Intent-based discovery
Agents search by intent (e.g., 'check eBay API quota') and Jentic returns the /rate_limit or /user_rate_limit operation with the right input schema, so the agent picks the application-level vs user-level endpoint without parsing eBay's docs.
Time to first call
Direct integration: 1 day for OAuth setup plus parsing the rate-limit envelope into your monitoring stack. Through Jentic: under 30 minutes — search, load schema, execute.
Alternatives and complements available in the Jentic catalogue.
eBay Browse API
Browse is one of the heaviest-quota consumers; pair with Developer Analytics to manage burn.
Use Developer Analytics before any large Browse-driven catalogue scan to confirm enough remaining quota for the planned page count.
eBay Item Feed Service
Feed downloads consume quota per file pull; check Developer Analytics before scheduling the job.
Use Developer Analytics to confirm Feed quota remains before launching a multi-category daily download.
eBay Sell Account API
Sell Account uses a User token; pair with /user_rate_limit to track per-seller burn.
Use /user_rate_limit when a single seller's actions on Sell Account or other user-context APIs need their own quota dashboard.
Specific to using Developer Analytics API API through Jentic.
What authentication does the Developer Analytics API use?
/rate_limit accepts an OAuth 2.0 Application access token issued via the Client_Credentials grant. /user_rate_limit requires a User access token issued via the Authorization Code grant — the user must complete an eBay OAuth consent flow first. Through Jentic, both credential types live in the MAXsystem vault and the agent receives only the scoped access token it needs.
Can I see legacy Trading API call limits with the Developer Analytics API?
Yes. /rate_limit reports quotas for both the RESTful APIs (Browse, Inventory, Fulfillment, etc.) and the legacy Trading API in the same response — each entry carries an api and resource pair, so the Trading API appears alongside the REST ones.
What are the rate limits for the Developer Analytics API itself?
Developer Analytics calls themselves consume quota under the developer.analytics resource. The defaults are generous — the API is meant to be polled — but you can confirm your specific allotment by calling /rate_limit and inspecting the developer.analytics entry in its own response.
How do I check my remaining quota through Jentic?
Search Jentic for 'check eBay API quota', load the /rate_limit operation schema, and execute it. The response is an array of resource entries, each with limit, remaining, reset, and timeWindow. Install with pip install jentic. Sign up at https://app.jentic.com/sign-up.
What is the difference between /rate_limit and /user_rate_limit?
/rate_limit reports application-keyset-level quotas — the cap eBay enforces across all calls made with your Client_ID. /user_rate_limit reports per-user quotas — the additional cap enforced when one specific eBay user's token is used to call user-context endpoints. A heavy single user can exhaust /user_rate_limit while /rate_limit remains healthy.