
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
0.0 (0)
Pricing
$10.00 / 1,000 results
1
Monthly users
3
Last modified
a day 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
1{ 2 "walletAddresses": ["0xd8da6bf26964af9d7eed9e03e53415d37aa96045"], 3 "chain": "eth", 4 "period": "all" 5}
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
1{ 2 "address": "3kebnKw7cPdSkLRfiMEALyZJGZ4wdiSRvmoN4rD1yPzV", 3 "chain": "sol", 4 "period": "7d", 5 "buy": 581, 6 "buy_1d": 115, 7 "buy_7d": 581, 8 "buy_30d": 1322, 9 "sell": 502, 10 "sell_1d": 98, 11 "sell_7d": 502, 12 "sell_30d": 1126, 13 "pnl": -0.10828719023520679, 14 "pnl_1d": 0.03140758753773306, 15 "pnl_7d": -0.10828719023520679, 16 "pnl_30d": -0.08746015532886187, 17 "all_pnl": 0.12871069195157267, 18 "realized_profit": 1684772.7576239784, 19 "realized_profit_1d": 851.1409791878604, 20 "realized_profit_7d": -25207.50269218135, 21 "realized_profit_30d": -45563.020845507424, 22 "unrealized_profit": 4110.971943821579, 23 "unrealized_pnl": 0.00030513736589427, 24 "total_profit": 1688883.7295678, 25 "total_profit_pnl": 0.12877634799199128, 26 "balance": "614.0013232", 27 "eth_balance": "614.0013232", 28 "sol_balance": "614.0013232", 29 "trx_balance": "614.0013232", 30 "bnb_balance": "614.0013232", 31 "total_value": 122227.40625175112, 32 "winrate": 0.4805194805194805, 33 "token_sold_avg_profit": -79.02038461498856, 34 "history_bought_cost": 304309.6197517237, 35 "token_avg_cost": 953.948651259322, 36 "token_num": 319, 37 "profit_num": 148, 38 "pnl_lt_minus_dot5_num": 50, 39 "pnl_minus_dot5_0x_num": 115, 40 "pnl_lt_2x_num": 149, 41 "pnl_2x_5x_num": 5, 42 "pnl_gt_5x_num": 0, 43 "bind": false, 44 "avatar": "https://pbs.twimg.com/profile_images/1913058996174405632/11uKxGds_400x400.jpg", 45 "name": "Bastille", 46 "ens": "", 47 "tags": ["kol", "pump_smart", "photon", "bullx"], 48 "tag_rank": { 49 "bullx": 0, 50 "kol": 1072, 51 "photon": 0, 52 "pump_smart": 35 53 }, 54 "twitter_name": "Bastille", 55 "twitter_username": "BastilleBtc", 56 "twitter_bind": false, 57 "twitter_fans_num": 64103, 58 "followers_count": 64103, 59 "is_contract": false, 60 "last_active_timestamp": 1745407556, 61 "risk": { 62 "token_active": 319, 63 "token_honeypot": 0, 64 "token_honeypot_ratio": 0, 65 "no_buy_hold": 7, 66 "no_buy_hold_ratio": 0.02147239263803681, 67 "sell_pass_buy": 2, 68 "sell_pass_buy_ratio": 0.006269592476489028, 69 "fast_tx": 20, 70 "fast_tx_ratio": 0.06269592476489028 71 }, 72 "avg_holding_period": 23827.617554858934, 73 "updated_at": 1745407556, 74 "refresh_requested_at": null 75}
Notes: All data is stored in Apify's default dataset.
Pricing
Pricing model
Pay per resultThis Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.
Price per 1,000 items
$10.00