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Super.ai task-data API

Task data operations for flow validation, schema discovery, and dynamic configuration.The task-data endpoint analyzes flow definitions to extract task output schemas, dynamic configuration options, and validation errors. This is essential for building flow configuration UIs, validating flows before execution, and understanding task data structures.**Primary Use Cases:**- **Flow Builder UI**: Get task output schemas for validating downstream task inputs- **Schema Discovery**: Understand the structure of data each task produces- **Dynamic Configuration**: Retrieve runtime-dependent options (e.g., available spreadsheets, database tables)- **Flow Validation**: Validate flow definitions programmatically before saving or executing- **Custom Integrations**: Build tools that work with SuperAI Flows programmatically**What You Get:**- **Output Schemas**: JSON Schema definitions for each task's output structure- **Dynamic Data**: Runtime-dependent configuration options (dropdown choices, conditional fields)- **Validation Errors**: Detailed error messages for invalid flow definitions**How It Works:**1. Submit a flow definition in SuperAI Flows DSL format2. The endpoint validates the structure and loads each task executor3. For each task, it extracts the output schema and any dynamic configuration data4. Returns all schemas, dynamic data, and any validation errors encountered**Key Concepts:**- **Output Schema**: JSON Schema describing the structure of data a task produces- **Dynamic Data**: Configuration options that depend on user credentials or external state (e.g., list of Google Sheets accessible with your credentials)- **Validation Levels**: Basic (structure only) vs Full (includes semantic validation)**Integration Notes:**- The flow builder frontend uses this endpoint to power the task configuration UI- Flows API uses this validation internally when creating/updating flows- Response includes validation errors even on HTTP 200 - always check `validation_errors` field- May make external API calls to fetch dynamic data, so response time varies (100ms-2s typical)**Related Endpoints:**- `GET /task-executors`: List available task executor types and their schemas- `POST /flows`: Create flow (uses task-data validation internally)- `PUT /flows/{flow_id}`: Update flow (uses task-data validation internally)

Super.ai task-data API is one of 19 APIs that Super.ai publishes on the APIs.io network, described by a machine-readable OpenAPI specification.

Tagged areas include TaskData. The published artifact set on APIs.io includes an OpenAPI specification, an API reference, and authentication docs.

This API exposes 1 operation across 1 path, and defines 6 schemas. It is described by OpenAPI 3.2.0, at version 0.1.0.

Requests are made against a single base URL, https://flows.super.ai/api.

1 operations 1 paths 6 schemas 1 POST

Metadata

The identity and technical contract details declared by the specification.

Specification
OpenAPI 3.2.0
API Version
0.1.0
Base URL
https://flows.super.ai/api
Authentication
HTTP Bearer, API Key
Resource Areas
1

Authentication & Security 2

Super.ai task-data API declares 2 security schemes for authenticating requests. It accepts HTTP bearer tokens (JWT) (BearerAuth). An API key is passed in the header as X-API-Key (APIKeyAuth).

  • BearerAuth — JWT Bearer token authentication. Include your access token in the Authorization header as: Bearer YOURACCESSTOKEN Example: Authorization: Bearer eyJhbGciOiJIUz…
  • APIKeyAuth — API key authentication. Include your API key in the X-API-Key header as: X-API-Key YOURAPIKEY Example: X-API-Key: saf1234567890

Paths & Operations 1

Across 1 path, the API surfaces 1 operation — 1 POST. Each is listed below with its method, path, parameters, and response codes.

task-data 1

Task data operations for flow validation, schema discovery, and dynamic configuration. The task-data endpoint analyzes flow definitions to extract task output schemas, dynamic con…

POST
/api/task-data
Analyze flow definition and extract schemas
get_task_dynamic_data_api_task_data_post 2 params body → 200400500422

Schemas 6

The contract defines 6 schemas that model the data the API accepts and returns. The most detailed are TaskDynamicDataResponse (4 properties), ErrorDetail (3 properties), ValidationError (3 properties), ErrorResponse (2 properties). Each schema is shown below with its type and property counts.

TaskDynamicDataRequest
object
Request model for task data analysis endpoint. Accepts a flow definition in the SuperAI Flows DSL format for validation and schema extraction. The flow definit…
1 property 1 required
ErrorResponse
object
Standard API error response structure. All error responses from the API follow this format, ensuring consistent error handling for API consumers. Example: { "e…
2 properties 1 required
ValidationError
object
3 properties 3 required
HTTPValidationError
object
1 property
TaskDynamicDataResponse
object
Response model containing task output schemas, dynamic data, and validation results. This response provides all metadata needed to build UIs for flow configura…
4 properties
ErrorDetail
object
Standard error detail structure. This model matches the error format returned by the centralized exception handlers in app/api/errors/handlers.py.
3 properties 1 required

Specification

The full machine-readable OpenAPI contract behind this narrative.

Source

superai-task-data-api-openapi.yml Raw ↑

Other APIs Super.ai publishes across the network.

Super.ai auth API
Super.ai files API
Super.ai flow-executions API
Super.ai flows API
Super.ai human-review-tasks API
Super.ai integrations API
Super.ai models API
Super.ai organizations API
Super.ai plugins API
Super.ai profile API
Super.ai service-accounts API
Super.ai sso API
Where this information came from

This is an independent, third-party profile of Super.ai task-data API, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.

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