Autogon Docs
  • Change Log
  • Get Started
  • Libraries
  • Slicing & Indexing
  • Autogon Engine (Studio)
    • Data Processing
      • Data Input (DP_1)
      • Automated Data Processing (DP_ADP)
      • Missing Data (DP_2)
      • Data Encoding (DP_3)
      • Data Split (DP_4)
      • Feature Scaling (DP_5)
      • Drop Columns (DP_6)
      • Time Stepper (DP_7)
      • Parse Datetime (DP_PDT)
      • Reorder Columns (DP_ROC)
      • Feature Sampling (DP_FSP)
      • Reshape Array (DP_RSH)
      • Column Astype (DP_ASP)
      • Show Duplicates (DP_SDC)
      • Drop Duplicates (DP_DRD)
      • Scalar to Ndarray (DP_STN)
      • Image to Ndarray (DP_ITN)
      • Dataset Info (DP_INF)
      • Dataset Correlations (DP_CRR)
      • Dataset Description (DP_DSC)
      • Dataset Datatypes (DP_DTY)
      • Dataset Uniques (DP_UNQ)
      • Dataset Stats Counts (DP_STC)
      • Principal Component Analysis (DP_PCA)
      • Text Vectorizer (DP_VEC)
      • Resampler (DP_RES)
    • Data Visualization
      • Scatter Plots (DP_SCP)
      • Ordinary Plots (DP_ORD)
      • Compare Scatter Plots (DP_CSP)
      • Pie Plots (DP_PIE)
      • Heatmap Plots (DP_HMP)
    • Machine Learning
      • Simple Linear Regression (ML_R_1)
      • Multiple Linear Regression (ML_R_2)
      • Polynomial Linear Regression (ML_R_3)
      • Support Vector Regression (ML_R_4)
      • Decision Tree Regression (ML_R_5)
      • Random Forest Regression (ML_R_6)
      • Logistic Regression (ML_CN_1)
      • K-Nearest Neighbors - KNN (ML_CN_2)
      • Support Vector Machine (ML_CN_3)
      • Kernel SVM (ML_CN_4)
      • Naive Bayes (ML_CN_5)
      • Decision Tree Classification (ML_CN_6)
      • Random Forest Classification (ML_CN_7)
      • Hierarchical Clustering (ML_CG_1)
      • K-Means Clustering (ML_CG_2)
      • XGBoost (MS_XGBOOST)
      • Grid Search (ML_GRID)
      • Shap Explain (ML_SHAP)
      • Isolation Forest (ML_ISF)
      • (ML_DBS)
    • Automated Machine Learning
      • AutoRegression (AUTO_R_1)
      • AutoClassification (AUTO_CN_1)
      • AutoRegression II (AUTO_R_2)
    • Deep Learning
      • Artificial Neural Network (DL_ANN)
      • Self Organizing Maps (DL_SOM)
      • Restricted Boltzmann Machine (DL_RBM)
    • Automated Deep Learning
      • Auto Image Classification (A_DL_IMC)
      • Auto Image Regression (A_DL_IMR)
      • Auto Text Classification (A_DL_TXC)
      • Auto Text Regression (A_DL_TXR)
      • Auto Structured Data Classification (A_DL_SDC)
      • Auto Structured Data Regression (A_DL_SDR)
      • General AutoDL Blocks (A_DL_ALL)
  • LabelCraft
    • Images, Annotations and Augmentation
    • Import and Export
    • Model Training and Prediction
  • Production APIs
    • Production Pipelines
  • Autogon Qore
    • Vision AI
    • Natural Language AI
      • Text Classification (Deprecated)
      • Text Summary (Deprecated)
      • Ask Your Data
      • Generate Synthetic Data
      • Speech To Text
      • Text To Speech
      • Sentiment Analyzer (Deprecated)
      • Conversation with Chatbot Agent
      • Conversational Interaction with GPT-4
      • Essay Marker
      • Resume Ranker
      • Translator
    • Voice Cloning
      • Create a Voice
      • Get Voices
      • Text-To-Speech
  • Other APIs
    • Project
      • List all projects
      • Create a New Project
      • Get Project Details
      • Delete a Project
    • Dataset
      • List all datasets
      • Create a Dataset
      • Get a Dataset
      • Updating a dataset
      • Delete a Dataset
      • Dataset Connection
      • Visualize Dataset
Powered by GitBook
On this page

Was this helpful?

  1. Autogon Qore
  2. Natural Language AI

Generate Synthetic Data

This API is designed to generate synthetic datasets.

The Synthetic Data Generation API is a versatile tool designed to create synthetic datasets based on user-defined prompts and specifications regarding the number of rows required. This API allows developers to generate artificial datasets that mimic real-world data while meeting specific criteria provided by the user.

Pricing

Requests made to the Synthetic Data Generation API are billed.

The pricing for API requests is as follows:

  • Per Request Cost: 3 units base cost per request.

POST https://api.autogon.ai/api/v1/services/generate-data/

This API endpoint takes two json parameters the "prompt", and number of rows as the "rows" parameter respectively

Headers

Name
Type
Description

Content-Type*

String

application/json

Request Body

Name
Type
Description

prompt*

String

User-defined prompts specifying the structure and characteristics of the dataset. (Ex. "insurance dataset with the columns (name, amount)")

rows*

String

Number of rows needed in the generated dataset.

{
    "status": true, 
    "message": "www.generated_dataset_url"
}
PreviousAsk Your DataNextSpeech To Text

Last updated 1 year ago

Was this helpful?