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Moralis MCP Server

Official
by MoralisWeb3

evm_gettimeseriestokenanalytics

Analyze timeseries data including buy volume, sell volume, liquidity, and FDV for up to 200 tokens across multiple blockchains. Supports customizable timeframes for detailed token analytics.

Instructions

Fetch timeseries buy volume, sell volume, liquidity and FDV for multiple tokens. Accepts an array of up to 200 tokens, each requiring chain and tokenAddress.

Input Schema

NameRequiredDescriptionDefault
requestBodyYesBody
timeframeYesThe timeframe to query1d

Input Schema (JSON Schema)

{ "properties": { "requestBody": { "description": "Body", "properties": { "tokens": { "description": "The tokens to be fetched", "example": [ { "chain": "0x1", "tokenAddress": "0xdac17f958d2ee523a2206206994597c13d831ec7" }, { "chain": "solana", "tokenAddress": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v" } ], "items": { "properties": { "chain": { "default": "eth", "description": "The chain to query", "enum": [ "eth", "0x1", "sepolia", "0xaa36a7", "polygon", "0x89", "bsc", "0x38", "bsc testnet", "0x61", "avalanche", "0xa86a", "fantom", "0xfa", "cronos", "0x19", "arbitrum", "0xa4b1", "chiliz", "0x15b38", "chiliz testnet", "0x15b32", "gnosis", "0x64", "gnosis testnet", "0x27d8", "base", "0x2105", "base sepolia", "0x14a34", "optimism", "0xa", "holesky", "0x4268", "polygon amoy", "0x13882", "linea", "0xe708", "moonbeam", "0x504", "moonriver", "0x505", "moonbase", "0x507", "linea sepolia", "0xe705", "flow", "0x2eb", "flow-testnet", "0x221", "ronin", "0x7e4", "ronin-testnet", "0x7e5", "lisk", "0x46f", "lisk-sepolia", "0x106a", "pulse", "0x171" ], "example": "eth", "type": "string" }, "tokenAddress": { "description": "The token address", "example": "0x7d1afa7b718fb893db30a3abc0cfc608aacfebb0", "type": "string" } }, "required": [ "chain", "tokenAddress" ] }, "maxItems": 30, "type": "array" } }, "required": [ "tokens" ] }, "timeframe": { "default": "1d", "description": "The timeframe to query", "enum": [ "1d", "7d", "30d" ], "type": "string" } }, "required": [ "timeframe", "requestBody" ], "type": "object" }

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