Nansen

Discovering trending tokens

token_discovery_screener

Read-only

Get comprehensive token screening data across multiple blockchain networks with advanced filtering.

A maximum of 25 results per page are returned out of 1000s of tokens. Use the sorting and filtering options to narrow down the results. In a mixed spot + hyperliquid request, page applies to both the spot and perps sections. A maximum of 5 chains can be specified per request (excess chains are automatically trimmed).

This tool helps with token discovery and finding trending tokens by combining different metrics: volume, liquidity, market cap, smart money activity, and token age.

IMPORTANT - Hyperliquid Special Case:

Hyperliquid chain queries perpetual futures (perps), not spot tokens
When hyperliquid is mixed with other chains, two sections of up to 25 results each are returned - one for spot tokens and one for perps.
For perps, only these filters are supported: volume, buyVolume, sellVolume, openInterest, netflow, nofTraders, traderType
Additional orderBy fields for perps: open_interest, funding (e.g. orderBy 'funding' ascending finds perps that pay longs)
Unsupported filters/orderBy will fallback to defaults

INPUT EXAMPLES:

Find tokens which are going up in price.

Added some liquidity filter to remove spam and low quality tokens.

{
    "chains": ["ethereum", "solana", "bnb", "base"],
    "timeframe": "24h",
    "liquidity": {"from": 100000},
    "nofTraders": {"from": 10},
    "orderBy": "price_change",
    "orderByDirection": "desc"
}

Find top stablecoins by market cap

{
    "chains": ["ethereum", "solana", "bnb", "base"],
    "timeframe": "7d",
    "sectors": ["Stablecoin"],
    "orderBy": "market_cap_usd",
    "orderByDirection": "desc"
}

Find AI memecoins with high trading activity

{ "chains": ["ethereum", "solana", "bnb", "base"], "timeframe": "7d", "sectors": ["AI Meme"], "liquidity": {"from": 100000}, "volume": {"from": 1000000} }

Find DeFi lending tokens

{ "chains": ["ethereum", "solana", "bnb", "base"], "timeframe": "24h", "sectors": ["DeFi Lending (Money Markets)"], "netflow": {"from": 1000000} }

Find tokens which have a lot of buying activity (high nofBuyers and buyVolume)

Note that we added some filters to remove spam and low quality tokens. We added liquidity filter so that we only surface tokens which we can buy or sell.

We sort by `netflow` descending to get tokens with the most net buying activity.

{
    "chains": ["ethereum", "solana", "bnb", "base"],
    "timeframe": "24h",
    "liquidity": {"from": 100000},
    "buyVolume": {"from": 1000000},
    "marketCapUsd": {"from": 1000000},
    "nofBuyers": {"from": 10},
    "orderBy": "netflow",
    "orderByDirection": "desc"
}

Find Hyperliquid perps with high open interest and positive net flow

{
    "chains": ["hyperliquid"],
    "timeframe": "7d",
    "openInterest": {"from": 100000},
    "volume": {"from": 1000000},
    "netflow": {"from": 0},
    "nofTraders": {"from": 10},
    "orderBy": "netflow",
    "orderByDirection": "desc"
}

WARNING: To avoid timeouts, it's recommended to:

Use 4 chains or less at a time (API tends to timeout with more chains)
Use shorter timeframes (e.g., 24h or 1h instead of 7d or 30d)

Args:

Returns: Comprehensive token metrics as markdown. Returns empty string if no tokens found.

Columns returned:
- **Token Address**: Token address (e.g., 0x1234567890123456789012345678901234567890)
- **Symbol**: Token trading symbol (e.g., ETH, BTC, DOGE)
- **Chain**: Blockchain network (ethereum, solana, polygon, etc.)
- **Price USD**: Current token price in USD (currency formatted)
- **Price Change**: Price change percentage over the date range (percentage, can be negative)
- **Market Cap**: Current market capitalization (currency formatted)
- **Fully Diluted Valuation (FDV)**: Market cap if all tokens were circulating (currency formatted)
- **FDV/MC Ratio**: Ratio indicating how much supply is locked/vested (numeric, >1 means locked supply)
- **USD Volume**: Total trading volume in USD (currency formatted)
- **Buy USD Volume**: Total buy volume in USD (currency formatted)
- **Sell USD Volume**: Total sell volume in USD (currency formatted)
- **Net Flow USD**: Net flow (buys minus sells) in USD (currency formatted, can be negative)
- **DEX Liquidity**: Available liquidity for trading (currency formatted)
- **Inflow/FDV**: Inflow as percentage of FDV (percentage formatted)
- **Outflow/FDV**: Outflow as percentage of FDV (percentage formatted)
- **Token Age (Days)**: Days since token was first deployed
- **Sectors**: List of token sectors/categories

Hyperliquid perps columns (smart-money mode, when `onlySmartTradersAndFunds=true`):
- **Net Position** (`LONG $X` / `SHORT $X` / `FLAT`): current net direction. Use this when answering long/short questions.
- **Current Longs USD** / **Current Shorts USD**: gross notional on each side; sizing only, not direction.
- **Net Position Change**: delta over the timeframe — can be positive while Net Position is still SHORT.

Notes: - Positive Net Flow on spot tokens indicates more buying than selling - High FDV/MC Ratio suggests significant locked or vested tokens

Filtering Options (filters parameter): - Numeric Ranges: volume, liquidity, marketCapUsd, netflow, tokenAgeDays, nofTraders, nofBuyers, nofSellers, nofBuys, nofSells, buyVolume, sellVolume, fdv, fdvMcRatio, inflowFdvRatio, outflowFdvRatio - Categories: sectors (e.g. ["AI", "Meme"]), includeSmartMoneyLabels - Asset class toggles (spot chains only, default false for both): includeStablecoins, includeNativeTokens. Set true only when the user asks for stablecoins/native tokens specifically. - Trader Type: traderType (string: "all", "sm", "whale", "public_figure") - Use "sm" ONLY when user explicitly asks for "smart money". - Use "whale" ONLY when user specifically asks for whales or large holders. - Use "public_figure" ONLY when user asks for KOLs or popular figures. - Data with "sm", "whale", and "public_figure" is sparse — "whale" and "public_figure" are even sparser than "sm". Pairing any of these with other filters (volume, liquidity, netflow) is likely to return no results. - Only pair traderType="sm/whale/public_figure" with other filters (volume, liquidity, netflow) if the user request explicitly requires it. - Instead of pairing this with other filters, you can rely on orderBy to sort by netflow, volume, liquidity, etc.

**CRITICAL WARNING:** 'priceChange' is NOT a valid filter. You cannot filter for "tokens up > 10%". Use `orderBy="priceChange"` instead.

Sorting Options (orderBy field): Available fields (use with orderByDirection: "asc" or "desc"):

- **priceUsd**: Sort by token price
- **priceChange**: Sort by price change percentage
- **marketCapUsd**: Sort by market capitalization
- **volume**: Sort by total trading volume
- **buyVolume**: Sort by buy volume
- **sellVolume**: Sort by sell volume
- **netflow**: Sort by net flow (buys - sells)
- **liquidity**: Sort by DEX liquidity
- **nofTraders**: Sort by number of traders

(Note: Fields like `tokenAgeDays` or `outflowFdvRatio` are for FILTERING only, not sorting)

Default: orderBy="netflow", orderByDirection="desc"

Input Schema

TableJSON Schema

Name	Required	Description	Default
`request`	Yes

Output Schema

TableJSON Schema

Name	Required	Description	Default
`result`	Yes