~/talk

The Trust Problem in Onchain Insights: What Data Can We Believe?

Talkat UDC 2025 · on Tuesday, 2025-09-09· [data-engineering, web3]
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Claims that raw onchain state is the single source of truth while dashboards and marketing narratives introduce noise; tools used are The Graph’s subgraphs to substreams for indexing, Dune/DeFiLlama/CoinGecko for ad hoc checks, and Flipside’s chat + AI that exposes provenance and procedures. Concrete result: Flipside scores airdrop addresses with wallet health scores 0–10, shifting targets from 2–3 (pump‑and‑dump) to 7–8 (engaged users). AI can decode transaction hashes and cite tables but needs expert‑curated training and faster indexing to be fully reliable.

AI-written summary · about

  1. 0:00Introduction
  2. 2:09Trustworthy blockchain insights
  3. 7:23Verifying data sources
  4. 9:12Onchain data as truth
  5. 11:25AI analyzing blockchain
  6. 16:40Flipside Crypto AI access
  7. 20:32Confidence scores for AI
  8. 22:21Indexing in blockchain
  9. 24:29Subgraphs and substreams
  10. 26:36Decentralized APIs
  11. 29:50Standardizing queries
  12. 30:33Verifying blockchain data
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