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Run job:text.classify through the looot API: 1 provider, from $0.0002 per call. Inputs, prices, output shape and code for curl, JavaScript and Python.

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Job id text.classify, in Generative AI (Utilities). As of 2026-10-01, 1 provider serve it through 1 tool. Run job:text.classify and looot picks one of them; with fallback on, a miss moves on to the next. See Jobs.

Inputs

This job has one tool, so it takes that tool’s fields. Any key you send passes through unchanged.

Name Type Required Description
classifier_id string no ID of the trained classifier to use.
input unknown yes Text to classify: a string, TextDoc, or list of up to 512 items.
labels unknown yes Candidate labels: a list of up to 512 labels, or a dict of up to 8 groups with max 64 labels each.
model string yes The code embedding model to use. Example: “jina-embeddings-v3”

Providers and prices

Provider Tool Price
Jina Reader API jina-classify $0.0002 per call

A call that fails at the provider costs $0. See What’s free.

Output

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

Run it

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":"job:text.classify","input":{"model":"jina-embeddings-v3","input":["I love this product"],"labels":["positive","negative"]},"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: "job:text.classify",
    input: {
      model: "jina-embeddings-v3",
      input: ["I love this product"],
      labels: ["positive", "negative"],
    },
    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": "job:text.classify",
        "input": {
            "model": "jina-embeddings-v3",
            "input": ["I love this product"],
            "labels": ["positive", "negative"],
        },
        "wait": 30,
    },
    timeout=90,
)
run = response.json()
print(run["status"], run.get("result"))

To pin one provider, send its tool id as endpointId instead of job:text.classify.

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