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TracingFilter-by-Size + Scrape + LLM Summarise

Filter-by-Size + Scrape + LLM Summarise

tactic

Core idea

On a busy wallet, the long tail of dust and low-value interactions buries the signal. Filter counterparties above a size threshold first, scrape the full counterparty list from the explorer, and pass it to an LLM to sum totals and flag patterns, turning a multi-hour manual read into a minute’s work without losing defensibility.

Components

  1. Filter by size, isolate counterparties above a threshold (e.g. $100k) before analysing anything.
  2. Scrape, use a browser-extension data scraper (Instant Data Scraper or equivalent) to extract the full counterparty table from the explorer.
  3. LLM summarise, pass the scraped values to an LLM to sum totals and flag patterns.
  4. Preserve defensibility, the raw scraped data is kept for the evidence pack; the LLM output is audit-trail material, not primary evidence.

When to use

Whenever a wallet is too busy to read counterparty-by-counterparty manually, especially in counterparty-graph analysis of mint-style-bridge outputs.

Example

Analysing mint outputs downstream of a $5.3M exploit: filtering counterparties above $100k, scraping the explorer table, and LLM-summing produced a total of $5,358,060 across connected counterparties, materially matching the loss, in minutes instead of hours.

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