Multichain Wallet Analytics API (GMGN)

Multichain Wallet Analytics API (GMGN) is a lightning-fast, budget-friendly Apify actor that gathers and analyzes deep trading metrics from up to 3 crypto wallets across leading blockchains (Ethereum, BSC, Base, Solana and Blast). Perfect for analysts, traders, and bot developers, it delivers actionable PnL figures, win/loss ratios, and performance insights in seconds.

Why Choose Multichain Wallet Analytics API (GMGN)?

• Fastest Analytics: Accelerated scraping engine provides wallet stats within seconds
• Most Cost-Effective: Streamlined resource usage cuts down on API and proxy costs
• Up to 3 Wallets: Caps queries at 3 wallets per run for reliable, consistent performance
• Deep Insights: Comprehensive PnL ratios, trade counts, risk metrics, and more
• Multi-Chain Coverage: Supports Ethereum, BSC, Base, Solana, and Blast
• Flexible Timeframes: Retrieve data over 1-day, 7-day, 30-day, or all-time periods

Features

• Scrape detailed statistics for up to 3 wallet addresses simultaneously
• Fetch metrics for customizable periods: 1d, 7d, 30d, all
• Export results to Apify dataset in JSON, CSV, or Excel format
• Automatic wallet address validation and format conversion
• Multi-chain support: eth, bsc, base, sol, blast

Use Cases

• Portfolio Analysis: Measure ROI and monitor wallet performance over time
• Risk Profiling: Identify high-risk trading patterns and exposure levels
• Investor Research: Uncover strategies and behaviors of successful wallets
• Market Studies: Compare asset performance and trading strategies across wallets
• Data Science Projects: Generate rich datasets for machine learning and statistical analysis

Usage

1. Run this actor in the Apify console.
2. Provide inputs:
   • walletAddresses: Array of wallet addresses (max 3)
   • chain: One of eth, bsc, base, sol, blast
   • period: One of 1d, 7d, 30d, all

Example Input

{
    "walletAddresses": ["0xd8da6bf26964af9d7eed9e03e53415d37aa96045"],
    "chain": "eth",
    "period": "all"
}

Output

The collected data is saved to the Apify dataset with the following fields:

Field	Description
wallet_address	Wallet address
chain	Blockchain network
period	Timeframe of statistics
Trading Counts
buy, buy_1d, buy_7d, buy_30d	Number of buys overall and by period
sell, sell_1d, sell_7d, sell_30d	Number of sells overall and by period
Profit / Loss
pnl, pnl_1d, pnl_7d, pnl_30d	Profit/Loss ratios overall and by period
all_pnl	All-time profit/loss ratio
realized_profit, realized_profit_1d, realized_profit_7d, realized_profit_30d	Realized profits overall and by period
unrealized_profit, unrealized_pnl	Unrealized profit and P/L ratio
total_profit, total_profit_pnl	Total profit and profit/L ratio
Balances & Value
balance, eth_balance, sol_balance, trx_balance, bnb_balance	Token balances by chain
total_value	Total wallet value
Win Rate & Token Stats
winrate, token_sold_avg_profit, history_bought_cost, token_avg_cost	Win rate and cost metrics
token_num, profit_num	Total tokens and profitable tokens count
pnl_lt_minus_dot5_num, pnl_minus_dot5_0x_num, pnl_lt_2x_num, pnl_2x_5x_num, pnl_gt_5x_num	Distribution of token P/L brackets
Profile & Metadata
bind, avatar, name, ens, tags, tag_rank	Wallet binding and identity data
twitter_name, twitter_username, twitter_bind, twitter_fans_num	Twitter profile information
followers_count, is_contract, last_active_timestamp	Activity and contract status
Risk Metrics
risk.token_active, risk.token_honeypot, risk.token_honeypot_ratio, risk.no_buy_hold, risk.no_buy_hold_ratio, risk.sell_pass_buy, risk.sell_pass_buy_ratio, risk.fast_tx, risk.fast_tx_ratio	Detailed risk indicators
Timestamps
avg_holding_period, updated_at, refresh_requested_at	Holding period and update timestamps

Example Output

{
    "address": "3kebnKw7cPdSkLRfiMEALyZJGZ4wdiSRvmoN4rD1yPzV",
    "chain": "sol",
    "period": "7d",
    "buy": 581,
    "buy_1d": 115,
    "buy_7d": 581,
    "buy_30d": 1322,
    "sell": 502,
    "sell_1d": 98,
    "sell_7d": 502,
    "sell_30d": 1126,
    "pnl": -0.10828719023520679,
    "pnl_1d": 0.03140758753773306,
    "pnl_7d": -0.10828719023520679,
    "pnl_30d": -0.08746015532886187,
    "all_pnl": 0.12871069195157267,
    "realized_profit": 1684772.7576239784,
    "realized_profit_1d": 851.1409791878604,
    "realized_profit_7d": -25207.50269218135,
    "realized_profit_30d": -45563.020845507424,
    "unrealized_profit": 4110.971943821579,
    "unrealized_pnl": 0.00030513736589427,
    "total_profit": 1688883.7295678,
    "total_profit_pnl": 0.12877634799199128,
    "balance": "614.0013232",
    "eth_balance": "614.0013232",
    "sol_balance": "614.0013232",
    "trx_balance": "614.0013232",
    "bnb_balance": "614.0013232",
    "total_value": 122227.40625175112,
    "winrate": 0.4805194805194805,
    "token_sold_avg_profit": -79.02038461498856,
    "history_bought_cost": 304309.6197517237,
    "token_avg_cost": 953.948651259322,
    "token_num": 319,
    "profit_num": 148,
    "pnl_lt_minus_dot5_num": 50,
    "pnl_minus_dot5_0x_num": 115,
    "pnl_lt_2x_num": 149,
    "pnl_2x_5x_num": 5,
    "pnl_gt_5x_num": 0,
    "bind": false,
    "avatar": "https://pbs.twimg.com/profile_images/1913058996174405632/11uKxGds_400x400.jpg",
    "name": "Bastille",
    "ens": "",
    "tags": ["kol", "pump_smart", "photon", "bullx"],
    "tag_rank": {
        "bullx": 0,
        "kol": 1072,
        "photon": 0,
        "pump_smart": 35
    },
    "twitter_name": "Bastille",
    "twitter_username": "BastilleBtc",
    "twitter_bind": false,
    "twitter_fans_num": 64103,
    "followers_count": 64103,
    "is_contract": false,
    "last_active_timestamp": 1745407556,
    "risk": {
        "token_active": 319,
        "token_honeypot": 0,
        "token_honeypot_ratio": 0,
        "no_buy_hold": 7,
        "no_buy_hold_ratio": 0.02147239263803681,
        "sell_pass_buy": 2,
        "sell_pass_buy_ratio": 0.006269592476489028,
        "fast_tx": 20,
        "fast_tx_ratio": 0.06269592476489028
    },
    "avg_holding_period": 23827.617554858934,
    "updated_at": 1745407556,
    "refresh_requested_at": null
}

Notes: All data is stored in Apify's default dataset.