IntoTheBlock

IntoTheBlock is a blockchain analytics and intelligence platform founded in 2019 by Jesus Rodriguez (CEO). The platform applies machine learning models to on-chain blockchain data to generate actionable signals for traders and investors — including analysis of who holds a token (concentration, % in profit, large holder clustering), historical support and resistance levels derived from on-chain cost basis distributions, and real-time alerts for large transaction flows. IntoTheBlock targets both institutional data consumers and advanced retail crypto traders.


Background

IntoTheBlock was founded with a machine learning-first approach to crypto analytics — rather than simply displaying raw on-chain data, the platform processes data through ML models to surface patterns and predictive signals. This positions it between raw blockchain explorers (Etherscan) and pure research platforms (Glassnode), occupying a space focused on actionable signals.


Key Analytics Signals

Signal Description
IN/OUT of the Money % of holders currently profitable (above their average cost basis) vs. at a loss
Concentration Risk How concentrated token holdings are among top wallets (whale domination)
Large Transactions Alerts when holders move >$100K on-chain
Historical In-Out of Money Around Price Shows historical price levels where large holder clusters are concentrated (support/resistance)
Exchange Flow Net token movement to/from exchanges
Holders Composition Long-term, mid-term, short-term holder breakdown

DeFi Risk Intelligence

IntoTheBlock has expanded into DeFi risk analytics, providing:

  • Smart contract risk scoring for lending protocols
  • Liquidation risk monitoring (when collateral approaches liquidation thresholds)
  • Liquidity concentration analysis for DEX pools

Institutional Clients

IntoTheBlock targets institutional crypto funds, trading desks, and risk management teams at exchanges — providing data APIs and dashboards for portfolio monitoring and counterparty risk assessment.


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