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Prior Labs

Prior Labs Prediction API

The Prediction API from Prior Labs — 3 operation(s) for prediction.

Documentation Provider Profile APIs.io OpenAPI GitHub

Prior Labs Prediction API is one of 2 APIs that Prior Labs publishes on the APIs.io network, described by a machine-readable OpenAPI specification.

Tagged areas include Prediction. The published artifact set on APIs.io includes an OpenAPI specification and an API reference.

This API exposes 3 operations across 3 paths, and defines 23 schemas. It is described by OpenAPI 3.2.0, at version 2.0.0.

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

3 operations 3 paths 23 schemas 3 POST

Metadata

The identity and technical contract details declared by the specification.

Specification
OpenAPI 3.2.0
API Version
2.0.0
Base URL
https://api.priorlabs.ai
Authentication
HTTP Bearer
Contact
Prior Labs
Resource Areas
1

Authentication & Security 1

Prior Labs Prediction API declares 1 security scheme for authenticating requests. It accepts HTTP bearer tokens (JWT) (BearerAuth). By default, every request must be authenticated.

  • BearerAuth — Bearer token for authentication, obtained after signing up and generating an API key.

Paths & Operations 3

Across 3 paths, the API surfaces 3 operations — 3 POST. Each is listed below with its method, path, parameters, and response codes.

Prediction 3
POST
/tabpfn/prepare_test_set_upload
Prepare test set upload
tabpfn_prepare_test_set_upload body → 200
POST
/tabpfn/predict
Predict (TabPFN JSON API)
tabpfn_predict body → 200401404422429
POST
/v1/predictdeprecated
Run Predictions
predict_v1_deprecated body → 200400401403404422

Schemas 23

The contract defines 23 schemas that model the data the API accepts and returns. The most detailed are InferenceConfig (22 properties), ClassifierTabPFNConfig (14 properties), RegressorTabPFNConfig (13 properties), PreprocessorConfig (7 properties). Each schema is shown below with its type and property counts.

PrepareTestSetUploadRequest
object
3 properties 2 required
RegressorConfig
object
3 properties
PredictionResponse
object
6 properties 5 required
RegressorPredictParams
object
2 properties
ErrorResponse
object
4 properties 4 required
PreprocessorConfig
object
Configuration for data preprocessing. Attributes: name: Name of the preprocessor. categoricalname: Name of the categorical encoding method. Options: "none", "n…
7 properties 1 required
ClassifierPredictParams
object
1 property
ClassifierMetadata
object
5 properties 4 required
PrepareTestSetUploadResponse
object
2 properties 2 required
RegressorOutputType
string
ClassifierTabPFNConfig
object
14 properties
PredictRequest
object
4 properties 3 required
ValidationError
object
5 properties 5 required
PredictResponse
object
2 properties 2 required
ClassifierOutputType
string
FitMode
string
PredictionTask
string
Specifies the type of task to perform — either classification or regression.
ClassifierConfig
object
3 properties
FileUploadInfo
object
3 properties 3 required
FileInfo
object
4 properties 1 required
InferenceConfig
object
Additional configuration options for inference. Several configuration options for inference are exposed in the TabPFNClassifier and TabPFNRegressor interfaces.…
22 properties 1 required
RegressorTabPFNConfig
object
13 properties
RegressorMetadata
object
5 properties 4 required

Specification

The full machine-readable OpenAPI contract behind this narrative.

Source

priorlabs-prediction-api-openapi.yml Raw ↑

Other APIs Prior Labs publishes across the network.

Prior Labs Training API
AE Profile APIs.io
#Prediction
← Back to P APIs
API Details
ID
priorlabs:priorlabs-prediction-api
Base URL
https://api.priorlabs.ai
Docs
https://docs.priorlabs.ai/api-reference/getting-started
Provider
Prior Labs
APIs.io →  GitHub →
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