Scale AI Data Annotation API
40
AI ReadinessNon-Ready (F)40/100
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.
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.
1
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" | sh2
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 instanceJentic 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
Update task unique ID
Delete task unique ID
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
Jentic AI Readiness Score
This API is usable in Jentic One now. Its AI-readiness score against Jentic's framework shows where it stands today and where improvements would make it even easier for agents to use.
S
Scale AI Data Annotation API
- Non-Ready (F)40/100
81
Foundational Compliance63
Developer Experience & Jentic Compatibility52
AI-Readiness & Agent Experience94
Agent Usability10
Security73
AI DiscoverabilityPowered by JenticScoring Framework 1.0.0 | Scoring Engine 0.4.0
Show dimension breakdown
81
Foundational Compliance
Base layer of spec validity and structural soundness.
Grade: ASignals: 4
98%
Lint Results
Aggregated quality score from linter diagnostics, weighted by severity.
100%
Resolution Completeness
Percentage of `$ref` references that resolve successfully.
100%
Specification Validity
Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).
25%
Structural Integrity
Structural correctness score based on schema issues using logarithmic dampening.
63
Developer Experience & Jentic Compatibility
Clarity, completeness, and ingestion readiness for developers and tooling.
Grade: B-Signals: 4
0%
Example Density
How richly the API is illustrated with examples.
100%
Example Validity
Percentage of examples that conform to their schemas.
50%
Response Coverage
Percentage of operations with complete response definitions (success, client error, server error).
100%
Tooling Readiness
Health of API ingestion, bundling, and resolution within Jentic pipelines.
52
AI-Readiness & Agent Experience
Semantic breadth, depth, and agent comprehension for AI systems.
Grade: C-Signals: 4
52%
Description Coverage
Coverage of descriptions across API elements.
0%
Error Standardization
Coverage of RFC 9457 Problem Details for error responses.
100%
OperationId Quality
Coverage, uniqueness, and casing consistency of operationIds for AI inference.
56%
Summary Coverage
Coverage of summaries across operations/tags/info.
94
Agent Usability
Functional utility, complexity comfort, and AI orchestration readiness.
Grade: A+Signals: 1
94%
Complexity Comfort
Agent comfort level based on API operational and structural complexity.
10
Security
Trust, risk posture, and security compliance.
Grade: FSignals: 1
10%
Authentication Strength
Average quality of security schemes based on authentication method strength (weakest link for OAuth2).
73
AI Discoverability
Findability, semantic richness, and reasoning readiness.
Grade: A-Signals: 1
72%
Descriptive Richness
Clarity and depth of descriptions across API elements.
Score it yourself
Every API in the directory is allowlisted, so you can re-score it with no key required.
npx @jentic/api-scorecard-cli score <openapi-url>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.
Related APIs
Alternatives and complements available in the Jentic catalogue.
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.
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