Work with this as data
Every API 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 apis
7 MCP tools reach this
find_apisBrowse and filter every API in the catalog.get_api_artifactsOne API's artifacts, grouped by type.get_openapiThe primary OpenAPI for this API.find_similar_apisAPIs that look like this one.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 API
curl "https://apis.io/api/v1/apis/jina-ai-batch-api"
All apis
curl "https://apis.io/api/v1/apis?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.
OpenAPI Specification
openapi: 3.2.0
info:
title: Jina AI Embeddings Batch API
description: Generate high-quality multimodal embeddings for text, image, and code inputs using Jina AI's state-of-the-art embedding models. Supports synchronous embedding requests and batch jobs for large workloads.
version: '1.0'
contact:
name: Jina AI
url: https://jina.ai
servers:
- url: https://api.jina.ai/v1
description: Jina AI production API
security:
- BearerAuth: []
tags:
- name: Batch
description: Asynchronous batch embedding jobs
paths:
/batch/embeddings:
post:
tags:
- Batch
summary: Submit batch embedding job
description: Submit a batch job to embed a large set of inputs asynchronously.
operationId: submitBatchEmbeddings
requestBody:
required: true
content:
application/json:
schema:
$ref: '#/components/schemas/BatchEmbeddingRequest'
responses:
'202':
description: Batch job accepted
content:
application/json:
schema:
$ref: '#/components/schemas/BatchJob'
/batch/{batch_id}:
get:
tags:
- Batch
summary: Get batch job status
operationId: getBatchJob
parameters:
- name: batch_id
in: path
required: true
schema:
type: string
responses:
'200':
description: Batch job status
content:
application/json:
schema:
$ref: '#/components/schemas/BatchJob'
delete:
tags:
- Batch
summary: Cancel batch job
operationId: cancelBatchJob
parameters:
- name: batch_id
in: path
required: true
schema:
type: string
responses:
'200':
description: Batch job cancelled
/batch/{batch_id}/output:
get:
tags:
- Batch
summary: Download batch job output
operationId: getBatchOutput
parameters:
- name: batch_id
in: path
required: true
schema:
type: string
responses:
'200':
description: Batch output stream
/batch/{batch_id}/errors:
get:
tags:
- Batch
summary: Retrieve batch job errors
operationId: getBatchErrors
parameters:
- name: batch_id
in: path
required: true
schema:
type: string
responses:
'200':
description: Batch errors stream
components:
schemas:
BatchEmbeddingRequest:
type: object
required:
- model
- input_file_id
properties:
model:
type: string
input_file_id:
type: string
description: Identifier of an uploaded input file
endpoint:
type: string
example: /v1/embeddings
completion_window:
type: string
example: 24h
BatchJob:
type: object
properties:
id:
type: string
status:
type: string
enum:
- validating
- in_progress
- completed
- failed
- cancelling
- cancelled
created_at:
type: integer
endpoint:
type: string
request_counts:
type: object
properties:
total:
type: integer
completed:
type: integer
failed:
type: integer
securitySchemes:
BearerAuth:
type: http
scheme: bearer
bearerFormat: API Key