
Multichain Wallet Analytics API
Pricing
$10.00 / 1,000 results

Multichain Wallet Analytics API
The fastest & cheapest API to scrape wallet trading stats across multiple blockchains. Instantly access PnL, trade history, win/loss ratio & performance metrics for any crypto wallet. Perfect for analysts, traders, and bot builders
5.0 (2)
Pricing
$10.00 / 1,000 results
3
Total users
10
Monthly users
7
Runs succeeded
>99%
Last modified
a month ago
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
- Run this actor in the Apify console.
- Provide inputs:
walletAddresses
: Array of wallet addresses (max 3)chain
: One ofeth
,bsc
,base
,sol
,blast
period
: One of1d
,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.