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://jentic.com/install.sh?src=apis&api=%2Fapis%2Fscale.com%2Fscale" | sh

Step 2: Agent machine

# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fscale.com%2Fscale" | 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

Set task metadata

GET STARTED

Start building with Scale AI Data Annotation API

Explore with Jentic One

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

Update task unique ID

DELETE

/task/{taskId}/unique_id

Delete task unique ID

POST

/task/{taskId}/tags

Set task tags

Why Jentic?

What agents get from Jentic-routed access to this vendor.

Setup

Wiring the Scale AI Data Annotation API by hand means encoding your API key as the basic auth username with an empty password and tracking task ids across create, cancel, and metadata calls yourself. Through Jentic you install once, import the Scale AI Data Annotation API from the API Directory, store the API key once, and your agent calls it.

Permission scoping

Scale puts the task id in the URL path (/task/{taskId}), so a rule can pin your agent to one task. You choose the operations it may call, so a state-changing one like cancelling a task or deleting its unique id is not included unless you add it alongside the reads.

Credential isolation

Your Scale AI API key is stored once, encrypted, by your own Jentic One instance and injected at execution time. It never enters the agent's prompt, logs, or context.

Intent-based discovery

Agents search Jentic by intent such as 'create an annotation task' or 'get a task by id', and Jentic returns the matching Scale AI Data Annotation API operation with its input schema so the agent calls the right endpoint without browsing the reference docs.

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 your Jentic One instance 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 through Jentic One, the self-hosted execution layer, 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.

Can I limit what my agent is allowed to do with the Scale AI Data Annotation API?

Yes. Jentic One is self-hosted by you, so your own rules decide which Scale AI Data Annotation API operations and credentials the agent may use. You pick the operations it can call, so a read like GET /task/{taskId} to retrieve a task can be allowed while state-changing calls such as POST /task/{taskId}/cancel or DELETE /task/{taskId}/unique_id are left out unless you add them. Because the task id sits in the URL path, a rule can also pin the agent to a single task.

Scale AI Data Annotation API

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

Official vendor OpenAPI document · agent-readyCommunicationsEmail Deliverybasic20 EndpointsREST

For Agents

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

Use for: I need to a task, I want to a task, Search for tasks, Find all cancel a task

Not supported: Does not handle payments, crm, or developer tools - use for communications only.

Scale AI API for managing data annotation tasks, batches, projects, and callbacks. The API exposes 20 endpoints secured with basic authentication.

Jentic One on Github View OpenAPI Document

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

Scale AI Data Annotation API