How We Tag Wallets

Behavior becomes identity.

Wallets don’t come with bios — so we built a system that writes one for them.

Kairo’s AI watches how wallets move across time, chains, and categories. It learns their rhythms, risk profiles, and tendencies — then assigns a label that reflects who they are as a trader, not just what they’ve done.

These labels aren’t guesses. They’re generated by behavioral fingerprints pulled from thousands of datapoints per wallet.

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🧬 Our Labeling Process

Here’s how it works:

1. Data Collection

   • Full trade history across chains

   • Token/NFT holdings (past & present)

   • PnL over time

   • Entry/exit timing per asset

   • Interaction types (swaps, LPs, mints, bridges, staking)

2. Behavioral Pattern Extraction

   • Holding durations

   • Position sizes and scaling

   • Rotation frequency between categories (e.g. memes → DeFi)

   • Reaction speed to market events

   • Volume preference and liquidity sensitivity

3. Fingerprint Formation

   • The model clusters wallets by behavioral similarity

   • Patterns emerge: some chase pumps, others build silent positions

   • These become trader personas

4. Identity Assignment

   • We assign a wallet up to 3 tags

   • Each tag reflects a dominant behavior cluster

   • Labels are updated dynamically — no one is locked into a single role forever

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🏷️ What Tags Represent

A tag isn’t just a category — it’s a reputation signal.

• Meme Swinger = rotates into low-cap hype tokens and exits early

• Early Accumulator = consistently buys before major volume spikes

• DeFi Farmer = high interaction with protocols, yield-focused

• Cycle Exit Sniper = exits positions at local highs with precision

• NFT Degen = active across multiple mints, flips often

These are just examples — we’ll walk through more in the next page.

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🧠 Why Tags Matter

• They help you instantly understand a wallet's personality

• They let you filter by behavior, not just balance

• They’re the foundation of real-time wallet insight via extension or API

• They’re fully transparent: no label is hidden, no bias applied

Kairo doesn’t guess what a wallet is doing — it watches, learns, and labels.