Jina Search Foundation API / Embeddings

Jina Reader API tool jina-embeddings on looot: input fields, $0.0002 per call, output shape, and code to run it with curl, JavaScript or Python.

Generate embeddings for text, images, or documents. World-class multimodal multilingual embeddings for semantic search, similarity matching, clustering, and classification tasks.

Tool id: jina-embeddings
Provider: Jina Reader API
Job: Turn text into embedding vectors (text.embed)
Price: $0.0002 per call. A call that fails at the provider costs $0.

Inputs

Name	Type	Required	Description
`dimensions`	integer	no
`embedding_type`	string	no
`input`	unknown	yes	Text to embed: a string, `TextDoc`, or a list of items.
`input_type`	string	no
`late_chunking`	boolean	no
`model`	string	yes	The sparse embedding model to use. Example: “jina-embeddings-v3”
`normalized`	boolean	no
`return_multivector`	boolean	no
`return_tokenized_input`	boolean	no
`task`	string	no
`truncate`	boolean	no

Output

The run’s result holds the provider’s answer. Signed in, looot inspect jina-embeddings prints its fields.

Every call needs your API token in LOOOT_TOKEN; Sign in shows how to get one. Each run also needs a new idempotency key, so a retry never pays twice. With wait: 30 the answer comes back inline when the run ends within 30 seconds. Otherwise you get the running run back: poll GET /v1/runs/<runId>.

Example input with placeholder values:

curl -X POST "https://api.looot.ai/v1/runs" \
  -H "Authorization: Bearer $LOOOT_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Idempotency-Key: $(uuidgen)" \
  -d '{"endpointId":"jina-embeddings","input":{"model":"jina-embeddings-v3","input":["hello world"]},"wait":30}'

const response = await fetch("https://api.looot.ai/v1/runs", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.LOOOT_TOKEN}`,
    "Content-Type": "application/json",
    "Idempotency-Key": crypto.randomUUID(),
  },
  body: JSON.stringify({
    endpointId: "jina-embeddings",
    input: {
      model: "jina-embeddings-v3",
      input: ["hello world"],
    },
    wait: 30,
  }),
});
const run = await response.json();
console.log(run.status, run.result);

import os
import uuid

import requests

response = requests.post(
    "https://api.looot.ai/v1/runs",
    headers={
        "Authorization": f"Bearer {os.environ['LOOOT_TOKEN']}",
        "Idempotency-Key": str(uuid.uuid4()),
    },
    json={
        "endpointId": "jina-embeddings",
        "input": {
            "model": "jina-embeddings-v3",
            "input": ["hello world"],
        },
        "wait": 30,
    },
    timeout=90,
)
run = response.json()
print(run["status"], run.get("result"))

To let looot pick among every provider of this job instead, send job:text.embed as endpointId; see the job page.

Jina Search Foundation API / Embeddings

Inputs

Output

Run it