Introduction

Docs, guides, and API references to help you build with PredictHQ.

PredictHQ provides structured, verified real-world context and demand-aware features for forecasting, ML, and AI systems. The platform is designed to be integrated directly into production models and decision workflows.

See how others are using it on our use cases page.

API Quickstart API Reference

Core APIs

• Events API - Structured, deduplicated real-world events for forecasting, ML and AI systems

• Features API - Aggregated, model-ready event features for forecasting and ML

• Forecasts API - Event-aware demand forecasts, ready for production

• Beam API - Identify the real-world events that materially move your demand

Example

import requests

response = requests.get(
    url="https://api.predicthq.com/v1/events/",
    headers={
      "Authorization": "Bearer $ACCESS_TOKEN",
      "Accept": "application/json"
    },
    params={
        "q": "taylor swift"
    }
)

print(response.json())

Dev Resources

• API Overview

• Guides

• SDKs