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crypto-data-aggregation-guide

Aggregate crypto market, on-chain, social, derivatives, and macro data into a unified Python interface.

5|Updated May 2, 2026
Search Tags:#python#derivatives#data aggregation#crypto#social sentiment#on-chain metrics#DeFi TVL
One-click install
npx skills add https://github.com/nirholas/three-ui --skill crypto-data-aggregation-guide
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: crypto-data-aggregation-guide
Source: https://github.com/nirholas/three-ui/tree/main/data/skills/analysis/crypto-data-aggregation-guide
Command: npx skills add https://github.com/nirholas/three-ui --skill crypto-data-aggregation-guide

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you stop stitching together many different crypto data APIs by providing a single, unified approach to pull prices, on-chain metrics, social signals, derivatives, and macro indicators.

Core Features & Use Cases

  • Unified multi-source aggregation: Combine 20+ crypto data providers into one consistent interface for analytics and research.
  • Multi-domain coverage: Retrieve OHLCV/price data, on-chain metrics, DeFi TVL/yields, social/dev indicators, derivatives, and sentiment/macro indexes.
  • Flexible outputs for downstream workflows: Export results as a Pandas DataFrame, JSON, CSV, or Parquet for analysis and storage.

Use case: If you need clean, consistent Bitcoin daily features for a research report, you can request close and volume from multiple sources and merge them into a single dataset ready for modeling.

Quick Start

Ask the AI to install CryptoDataPy and show you how to fetch daily BTC/ETH metrics for a chosen start date using DataRequest.

Frequently Asked Questions about crypto-data-aggregation-guide

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I aggregate crypto market and on-chain data from multiple providers into a single Python interface?▼

Aggregating crypto market and on-chain data from multiple providers uses a unified Python interface that merges 20+ sources into consistent outputs. You configure tickers, fields, sources, frequency, date ranges, and aggregation methods to retrieve structured datasets.

What types of crypto metrics can I combine for portfolio tracking and analytics?▼

Crypto metrics you can combine for portfolio tracking include OHLCV prices, on-chain metrics, DeFi TVL, yields, social sentiment, derivatives, and macro indexes. Multi-domain coverage ensures consistent data retrieval across these categories for research and modeling.

How do I pull daily BTC and ETH features using a DataRequest configuration?▼

Pulling daily BTC and ETH features requires a DataRequest configuration specifying tickers, fields, sources, frequency, and optional date ranges. The interface merges multi-provider results into a structured output ready for analysis or storage.

Can I export aggregated crypto datasets as a Pandas DataFrame, JSON, CSV, or Parquet for downstream workflows?▼

Aggregated crypto datasets export flexibly as Pandas DataFrames, JSON, CSV, or Parquet for downstream workflows. This supports analysis, historical dataset preparation, and storage without needing manual format conversion between different crypto data APIs.

Does this multi-source crypto data aggregation approach work for both daily and intraday frequencies?▼

Multi-source crypto data aggregation works for both daily and intraday frequencies. You specify the desired frequency within the DataRequest configuration, and the unified interface retrieves and merges data from multiple providers accordingly.

How do I merge multi-provider results when building historical crypto datasets for research?▼

Merging multi-provider results for historical crypto datasets requires specifying an aggregation method in the DataRequest. The interface applies this method to combine data from 20+ providers into a clean, consistent structure for research reports or modeling.

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