Point it at a public wallet. It reads normal ETH transaction history and renders a first-person account of what the ledger looks like it's doing — narrated, tagged, and held to an honesty layer that says exactly how much to trust the tags.
Without this, real-wallet lookups aren't possible in this static build — the app has no server of its own and doesn't ship an API key. Deploy proxy/etherscan-proxy-worker.js (included alongside this file), edit its ALLOWED_ORIGINS to this app's exact deployed URL before shipping, then paste the worker's *.workers.dev URL here — the app only accepts HTTPS *.workers.dev endpoints by default. Demo mode works with no setup.
Based on normal ETH transactions only (Etherscan txlist). Token transfers and internal transactions aren't included.
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This Final Edition computes a 12-feature aggregate profile from a wallet's normal ETH transaction history only (frequency, volume, UTC timing entropy, counterparty spread, dormancy, and related ledger statistics), then scores it against five hand-authored archetype rubrics using a fixed weighting — not a trained clustering model. The "Mechanics of Consciousness Mapping" (MCM) mode is a second, simpler rule layer over the same features. Both are narrative devices, not diagnostic instruments. The displayed "rubric margin" is the gap between the top two rubric scores — it is not a statistical confidence or probability.
Before this edition, the project tested a more ambitious ML pipeline (per-transaction GMM/HDBSCAN clustering into archetypes) against a 600-wallet synthetic benchmark. The honest results:
The per-transaction clustering did not clear the bar for even a descriptive-segmentation claim. A later redesign using wallet-level aggregate features scored far better in synthetic testing (κ≈0.99, silhouette≈0.76), but has not yet been validated against real, labeled wallet data — so it isn't shipped as a live model here. This edition uses the transparent rubric approach instead, precisely so it doesn't borrow credibility from an unvalidated backend.
txlist endpoint). Internal transactions, ERC-20/NFT transfers, and contract-level activity are not included — this is a slice of the ledger, not the whole thing.*.workers.dev proxy URLs by default.CHRONALCRYPT™ is the engine tier — the raw ledger-fetching and feature-extraction layer. CHRONALCRYPTEX™ ("The Brains") is the interpretation layer that turns features into archetype/MCM tags. The Vault Diary is the voice — the layer that renders those tags as first-person prose. The umbrella brand across all of it is CHRONALCRYPT™ LABS.