OpenAI · Schema
WebhookEndpointTestResultResource
LLMOpenAIArtificial IntelligenceGenerative AIChatbotsFoundation ModelsT1
Properties
| Name | Type | Description |
|---|---|---|
| object | string | The object type, which is always webhook_endpoint.test. |
| webhook_endpoint_id | string | The ID of the webhook endpoint that received the test. |
| event_type | string | The event type sent in the test. |
| status_code | integer | The HTTP status code returned by the endpoint. |
| success | boolean | Whether the test request completed. Always true for returned results; use status_code to determine the endpoint response. |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://raw.githubusercontent.com/api-evangelist/openai/main/json-schema/openai-webhook-endpoint-test-result-resource-schema.json",
"title": "WebhookEndpointTestResultResource",
"x-generated": "2026-09-23",
"x-method": "derived",
"x-generator": "derive-json-schema.py",
"x-source": "openapi/openai-webhook-endpoints-api-openapi.yml#/components/schemas/WebhookEndpointTestResultResource",
"properties": {
"object": {
"type": "string",
"enum": [
"webhook_endpoint.test"
],
"description": "The object type, which is always webhook_endpoint.test.",
"default": "webhook_endpoint.test",
"x-stainless-const": true
},
"webhook_endpoint_id": {
"type": "string",
"description": "The ID of the webhook endpoint that received the test."
},
"event_type": {
"type": "string",
"description": "The event type sent in the test."
},
"status_code": {
"type": "integer",
"description": "The HTTP status code returned by the endpoint."
},
"success": {
"type": "boolean",
"enum": [
true
],
"description": "Whether the test request completed. Always true for returned results; use status_code to determine the endpoint response.",
"default": true,
"x-stainless-const": true
}
},
"type": "object",
"required": [
"object",
"webhook_endpoint_id",
"event_type",
"status_code",
"success"
]
}
Work with this as data
Every JSON Schema here is available over the APIs.io API and to AI agents over MCP.
MCP server
One button, every client — Claude, Cursor, VS Code and the rest.
https://apis.io/mcp
Tools for schemas
4 MCP tools reach this
find_json_schemasBrowse and filter every JSON Schema in the catalog.apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.resolveTurn a domain, URL or GitHub org into the provider it belongs to.find_cohortsEvery scored population of providers in the catalog.
Call it yourself
curl for this page
This JSON Schema
curl "https://apis.io/api/v1/json-schemas/openai-webhook-endpoint-test-result-resource"
All schemas
curl "https://apis.io/api/v1/json-schemas?limit=25"
Discovery needs no key. Ratings and market analysis are Pro.
Get an API key
Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.
A second provider on the same verified email joins the account you already have.