# Caller ID for every blockchain address.

700M+ wallets. 27 chains. One dataset.

Every address gets a name: Binance, Aave, Jump Trading. Behavioral tags track whales, farmers, and LP providers over time. Open methodology, free to query.

## 01 / The Problem

### Raw addresses tell you nothing.

`0x3f5CE5FBFe3E9af3971dD833D26BA9b5C936f0bE` is a Binance hot wallet. But without labels, it looks the same as a whale accumulating ETH or a bot farming airdrops.

### Where is liquidity flowing?

Is that $50M transfer going to Coinbase, Aave, or a personal wallet? Without labels, you're looking at hex strings.

### Who are your real users?

Your airdrop list has 50,000 addresses. How many are sybils? How many are bots? Raw transaction data won't tell you.

### Which wallets pose risk?

A raw address doesn't tell your compliance team whether it belongs to a sanctioned entity or a market maker. Labels do.

## 02 / Labels vs Tags

### Identity and behavior, in two tables.

Labels tell you _what_ an address is. Tags tell you _what it's been doing_.

### Labels

Static identity

A label is a persistent identifier tied to an address. It tells you the entity name (e.g. "Binance 14"), the category (CEX, DEX, DeFi), and who controls it.

Example

`0x28C6...` → **Binance 14**

Type: CEX · Subtype: Hot Wallet · Project: Binance

One primary label per address

Persistent, always-on

Best for entity attribution and exchange flows

### Tags

Behavioral & temporal

Tags describe what an address has been doing, not what it is. Each tag has a start and end date, so you can see behavior change over time. One address can have many tags at once.

Example

`0x91a...` → **ETH Whale**

Jan 2024 – Present · Also: LP Provider (Mar – Aug 2024)

Multiple tags per address

Temporal, with start/end dates

Best for cohort analysis and risk scoring

## 03 / Coverage

### 27 chains. 10 label categories. 400+ subgraphs.

700M+

Labeled addresses

27

Chains covered

400+

Subgraphs scanned

Daily

Pipeline refresh

### Supported Chains

- Ethereum
- Solana
- Bitcoin
- Polygon
- Arbitrum
- Optimism
- Base
- BSC
- Avalanche
- Aptos
- NEAR
- Sui
- Cosmos
- Flow
- Gnosis
- Axelar
- Thorchain
- Aleo
- Ink
- Canton
- Flow EVM
- Monad
- Somnia

\+ Unified Crosschain Table

All chains combined in `crosschain.core.dim_labels`

### Label Categories

- CEX Exchange hot wallets, deposit addresses, cold storage
- DEX Routers, pools, factory contracts
- DeFi Lending, yield, staking protocol addresses
- Token Token contracts, deployers, associated addresses
- NFT Marketplaces, minting contracts, collections
- Bridge Crosschain bridge contracts and relays
- Whale High-value wallets by balance and activity
- Institution Funds, asset managers, known entities
- Games Gaming protocol addresses and contracts
- L2 Layer 2 infrastructure addresses

## 04 / Methodology

### How labels get built.

The full methodology is on GitHub. Most competitors keep their labeling process proprietary. Flipside's is auditable.

### 400+ protocol subgraphs

Scanned daily. Subgraphs are maintained by the protocols themselves (Uniswap, Aave, Compound), making them one of the most reliable sources of address identity.

### Behavioral algorithms

Detects exchange deposit wallets, identifies whales, flags bots and airdrop farmers, and clusters related addresses. Behavioral tags refresh on a rolling 90-day window.

### Contract deployer tracking

When a contract is created, we trace it back to its deployer. That maps the relationship between factory contracts, proxies, and the protocols that own them.

### Block explorer ingestion

Daily pipelines pull verified labels from Etherscan and chain-native explorers. Direct protocol API integrations fill in the gaps.

### Expert curation

Flipside's labels team runs regular QA and fixes mislabeled addresses (most commonly deposit wallets). Anyone can submit corrections through public tools.

### Open source

The labeling methodology is on GitHub. You can query every label and tag for free in Data Studio. No paywall, no gated access.

## 05 / Use Cases

### Who uses this data.

### Airdrop targeting

Find wallet cohorts worth rewarding. Filter by onchain behavior (active DeFi users, LP providers, governance voters) and exclude bots.

### Sybil & bot detection

Run your address list against behavioral tags and onchain scores. Flag likely farmers and bots before you distribute tokens, not after.

### Competitive analysis

See where your competitor's users came from. Which exchanges they use. Whether your users are migrating to another protocol.

### KYC & compliance

Match wallet addresses to known entities. Check a user's onchain footprint across 27 chains in one query for risk assessment.

### Exchange flow analysis

Track deposits and withdrawals between labeled CEX addresses. You see "Jump Trading deposited $12M to Coinbase," not a hex string.

### Behavioral tracking

Tags have date ranges. You can see when a wallet became a whale, when it started farming, or when it shifted from DeFi to NFTs.

## 06 / Data Access

### Two tables. Five access methods.

### Labels table

`{chain}.core.dim_labels`

- `ADDRESS` Blockchain address
- `ADDRESS_NAME` Human-readable name (e.g. "Binance 14")
- `LABEL_TYPE` Category: cex, dex, defi, nft, bridge...
- `LABEL_SUBTYPE` Specific: hot_wallet, pool, deployer...
- `PROJECT_NAME` Controlling entity (e.g. "Uniswap")

### Tags table

`crosschain.core.dim_tags`

- `ADDRESS` Blockchain address
- `TAG_NAME` Descriptive tag name
- `TAG_TYPE` High-level tag category
- `START_DATE` When the tag first applies
- `END_DATE` When it expires (NULL if active)

### Access methods

#### Flipside Data Studio

Interactive SQL queries, dashboards, and exploration. Free tier available.

#### Flipside AI

Natural language queries against 7T+ rows and 700M+ labeled wallets.

#### Snowflake Data Share

Direct warehouse integration for production pipelines and BI tools.

#### API / SDK

Programmatic access for applications and automated workflows.

#### Custom Delivery

S3, Parquet, and CSV exports for custom integrations.

## 07 / Why Flipside

### What makes this different.

### Free and open

Query any label or tag for free in Data Studio. The methodology is on GitHub. No paywall to look up an address.

### Subgraph-sourced

400+ protocol-maintained subgraphs keep labels in sync with the protocols that own those addresses. Not guesswork.

### One crosschain table

`crosschain.core.dim_labels` covers all 27 chains. One query, consistent schemas. No stitching datasets together.

### Labels + OnChain Scores

Combine labels with Flipside's 0-15 OnChain Scores, wallet clustering, and risk flags. Identity plus behavior in one dataset.

## Get started

### Look up any address. See who's behind it.

700M+ labeled wallets across 27 chains. Query in SQL, pull via Snowflake, or ask the AI. Open methodology, updated daily.