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Portals.fi Token Transactions

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Portals

@portals.transactions

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Comprehensive Transaction Data: Deposits, Swaps, and Withdrawals

Dataset Description

This dataset provides detailed information about token transactions sourced from the Portals.fi API, which aggregates data across multiple blockchain networks and DeFi protocols. It serves as a rich resource for researchers, developers, and analysts in the cryptocurrency and decentralized finance (DeFi) space.

Key Features

1. Transaction Categories, each stored in its own table:

  • Deposits: Information about token deposits, including amounts, USD equivalent, transaction hash, and timestamp.
  • Swaps: Insights into token swaps, including input and output tokens, amounts, and corresponding transaction details.
  • Withdrawals: Detailed data about token amounts, USD value, transaction hash, and timestamp.

2. Token Identification

  • Tokens are identified using the [network]:[address] format.
    • Example: ethereum:0x06325440D014e39736583c165C2963BA99fAf14E
  • Supports multiple blockchain networks, including Ethereum, Polygon, and others.

3. Request Parameters

  • id: Required parameter specifying the token in the [network]:[address] format.

4. Response Structure

The API response provides a comprehensive breakdown of transactions for the specified token:

  • Deposits and Withdrawals:

    • key: Unique identifier for the token.
    • symbol: Token symbol (e.g., steCRV).
    • amount: Number of tokens involved in the transaction.
    • amountUsd: USD value of the token amount.
    • transactionHash: Unique hash for the transaction.
    • time: Timestamp of the transaction in ISO 8601 format.
  • Swaps:

    • inputAmount and outputAmount: Amount of input and output tokens.
    • inputToken and outputToken: Identifiers for the input and output tokens.
    • transactionHash: Unique hash for the swap transaction.
    • time: Timestamp of the transaction in ISO 8601 format.

Use Cases

  • Transaction Tracking: Monitor token movements across supported blockchain networks.
  • Trading Pattern Analysis: Gain insights into trading volumes and swap activity.
  • Application Development: Integrate transaction data into DeFi tools or dashboards.
  • Market Research: Identify trends in token activity for portfolio optimization.

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