数字员工 (央视发布龙虾数字员工) Token on BSC

Contract: 0x707d5f094cc21530a5da9271ecf33a43f7427777

About 数字员工 (央视发布龙虾数字员工)

Contract0x707d5f094cc21530a5da9271ecf33a43f7427777
Symbol数字员工
Name央视发布龙虾数字员工
NetworkBSC
BSC TokensBSC Pairs

数字员工 activity (24h)

Price Chart

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Live Trading Data

TimePrice, $ProtocolAmountAmount, $PoolHash
No trades in the last 24 hours.
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PairsLast PriceCurrencyPrice, $10m %1h %3h %Vol(24h)Vol(24h), $Trades
No traded pairs in the last 24 hours.
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ProtocolVolume, $Vol(24h)PairsTrades
Flapflap_v5-686.811
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TraderVolume, $Vol(24h)Buy, $Sell, $TradesBuy tradesSell tradesMarkets
No traders in the last 24 hours.
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数字员工 FAQ

Frequently asked questions about 数字员工 (央视发布龙虾数字员工) on BSC

What is 数字员工 (央视发布龙虾数字员工)?
数字员工 (央视发布龙虾数字员工) is a cryptocurrency token on the BSC blockchain. It is actively traded across 1 DEX market on Flap.
What is the 数字员工 market cap?
Market capitalisation requires the total circulating supply of 数字员工, which is not tracked by on-chain DEX data alone. For 数字员工 market cap, total supply, and fully diluted valuation, refer to aggregator sites such as CoinGecko or CoinMarketCap. This page focuses on live DEX trading activity — price, volume, pairs, liquidity pools, and trader analytics — all sourced directly from on-chain BSC transactions.
What is the 数字员工 contract address?
The official 数字员工 smart contract address on BSC is 0x707d5f094cc21530a5da9271ecf33a43f7427777. Always verify this address against the official project sources before trading or sending funds.
Which DEXes list 数字员工?
数字员工 is listed on 1 DEX market on BSC across 1 protocol: Flap. The highest-volume venues are Flap.
Is 数字员工 price data real-time?
Yes. The Last Trades tab streams live DEX swap data for 数字员工 on BSC sourced via the Bitquery API. The price chart updates in real-time as new trades execute. All data is sourced directly from on-chain transactions — there is no delay or interpolation. You can also browse all BSC tokens or BSC trading pairs.
How do I get the 数字员工 API data?
Every tab on this page has a “Get API” button (and “Get Stream” for live trades) that opens the exact Bitquery GraphQL query powering that view in the Bitquery IDE. You can customise filters, networks, and time ranges to build your own 数字员工 analytics dashboard or trading system. Explore more data on the BSC DEX overview.