Scale AI Data Annotation API

Name: Scale AI Data Annotation API
Brand: Scale AI Data Annotation API
Availability: InStock

✓ Official Vendor SpecCommunicationsEmail Deliverybasic20 EndpointsREST

For Agents

Programmatically create a task, retrieve a task. Covers 20 operations with basic authentication.

Install Jentic One Beta

Connect the Scale AI Data Annotation API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Scale AI Data Annotation API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.

Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.

Step 1: Jentic One Host machine

# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh

Step 2: Agent machine

# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
jentic register       # connects your agent to your Jentic One instance

Jentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.

Capabilities

What an agent can do with Scale AI Data Annotation API.

Create a task

Retrieve a task

List tasks

Cancel a task

GET STARTED

Start building with Scale AI Data Annotation API

Explore with Jentic

View OpenAPI Document

Use Cases

Patterns agents use Scale AI Data Annotation API for, with concrete tasks.

★ Communications Operations

Use the Scale AI Data Annotation API to perform communications operations programmatically. The API provides 20 endpoints covering core functionality including create a task, retrieve a task, list tasks.

Call POST /task to create a task

Automated Tasks Management

Automate tasks operations by combining multiple Scale AI Data Annotation API endpoints. Agents can retrieve a task and then list tasks in a single workflow.

Call GET /task/{taskId} to retrieve a task, then verify the result

AI Agent Integration via Jentic

AI agents discover and call Scale AI Data Annotation API endpoints through Jentic without managing credentials directly. An agent searches for the required operation by intent, receives the matching endpoint schema, and executes the call with Jentic-managed authentication. This eliminates the need to read API documentation or handle basic tokens manually.

Search Jentic for 'create a task', load the operation schema, and execute with Jentic-managed credentials

Key Endpoints

20 endpoints — scale ai api for managing data annotation tasks, batches, projects, and callbacks.

METHOD

PATH

DESCRIPTION

POST

/task

Create a task

GET

/task/{taskId}

Retrieve a task

GET

/tasks

List tasks

POST

/task/{taskId}/cancel

Cancel a task

POST

/task/{taskId}/setMetadata

Set task metadata

POST

/task/{taskId}/unique_id

Update task unique ID

DELETE

/task/{taskId}/unique_id

Delete task unique ID

POST

/task/{taskId}/tags

Set task tags

POST

/task

Create a task

GET

/task/{taskId}

Retrieve a task

GET

/tasks

List tasks

POST

/task/{taskId}/cancel

Cancel a task

POST

/task/{taskId}/setMetadata

Set task metadata

POST

/task/{taskId}/unique_id

Why Jentic?

Three things that make agents converge on Jentic-routed access.

Credential isolation

Scale AI Data Annotation API basic credentials are stored encrypted in the Jentic vault (MAXsystem). Agents receive scoped access tokens — raw secrets never enter the agent context.

Intent-based discovery

Agents search by intent (e.g., 'create a task') and Jentic returns the matching Scale AI Data Annotation API operation with its input schema, so the agent can call the right endpoint without browsing docs.

Time to first call

Direct Scale AI Data Annotation API integration: 1-3 days for auth handling, response parsing, and error cases. Through Jentic: under 1 hour — search, load schema, execute.

FAQs

Specific to using Scale AI Data Annotation API through Jentic.

What authentication does the Scale AI Data Annotation API use?

The Scale AI Data Annotation API uses HTTP Basic authentication with username and password. Through Jentic, these credentials are stored encrypted in the MAXsystem vault and injected at execution time, so raw secrets never enter the agent context.

Can I create a task with the Scale AI Data Annotation API?

Yes. Use the POST /task endpoint. The API returns structured JSON responses that agents can parse and act on directly.

What are the rate limits for the Scale AI Data Annotation API?

Rate limits are not specified in the OpenAPI spec. Check the vendor documentation for current limits. Through Jentic, rate limiting is handled automatically with retry logic built into the execution layer.

How do I create a task through Jentic?

Install the Jentic SDK with pip install jentic, authenticate at https://app.jentic.com/sign-up, then search for 'create a task'. Jentic returns the matching Scale AI Data Annotation API operation with its input schema. Load the schema and execute the call — credentials are injected automatically.

How many endpoints does the Scale AI Data Annotation API have?

The Scale AI Data Annotation API exposes 20 endpoints covering tasks, batches, projects operations.

Scale AI Data Annotation API

Connect the Scale AI Data Annotation API to your agent

Capabilities

Start building with Scale AI Data Annotation API

Use Cases

Key Endpoints

Why Jentic?

Related APIs

FAQs