"𝗛𝗼𝘄 𝗱𝗼 𝗜 𝗴𝗲𝘁 𝘁𝗵𝗲 𝗹𝗮𝘁𝗲𝘀𝘁 𝗳𝘂𝗻𝗱𝘀 𝗮𝗽𝗽𝗿𝗼𝘃𝗲𝗱 𝗯𝘆 𝗮𝗻 𝗮𝗱𝗱𝗿𝗲𝘀𝘀?” Exploring Blockchain Data #74 In the previous post, we discussed how to obtain the latest approved funds. But what if you want to check the funds approved by a specific address? How would you retrieve that information? Today, we'll see how to do this using Bitquery’s API. ``` { EVM(dataset: combined, network: eth) { Calls( limit: {count: 10} where: {Call: {From: {is: "0x3b17056cc4439c61cea41fe1c9f517af75a978f7"}, Signature: {Signature: {is: "approve(address,uint256)"}}}} ) { Call { Approver: From Token: To } Transaction { Hash } Arguments { Name Type Value { ... on EVM_ABI_Address_Value_Arg { address } ... on EVM_ABI_BigInt_Value_Arg { bigInteger } ... on EVM_ABI_String_Value_Arg { string } } } } } } ``` First, we define the address of our approver within the "𝘍𝘳𝘰𝘮" filter to isolate the approval calls from that address. Then, we specify the type of call we want in the "𝘚𝘪𝘨𝘯𝘢𝘵𝘶𝘳𝘦" filter, in this case, 𝘢𝘱𝘱𝘳𝘰𝘷𝘦. In the resultant data, Approver and Token as aliases for the "𝘍𝘳𝘰𝘮" and "𝘛𝘰" fields, respectively. These fields provide the address of the approver and the smart contract address of the token. Within the Arguments field, “𝘕𝘢𝘮𝘦” will provide the name of the argument and “𝘛𝘺𝘱𝘦” will provide the type of the argument. And within the Value field, we'll retrieve the argument's value based on its corresponding type. I hope you understood today’s query. To try out this query you can go to https://lnkd.in/d2ee2zyb & see the results by pressing the red play button. Today we saw how to get the latest funds approved by an address. Stay tuned for next post. (PS comment down what else you want to see in this series. I will try to add that too.)
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“𝗛𝗼𝘄 𝗱𝗼 𝗜 𝗴𝗲𝘁 𝘁𝗵𝗲 𝘁𝗼𝘁𝗮𝗹 𝗻𝘂𝗺𝗯𝗲𝗿 𝗼𝗳 𝗰𝗮𝗹𝗹𝘀 𝗺𝗮𝗱𝗲 𝗯𝘆 𝗮𝗻 𝗮𝗱𝗱𝗿𝗲𝘀𝘀 𝘁𝗼 𝗮 𝘀𝗺𝗮𝗿𝘁 𝗰𝗼𝗻𝘁𝗿𝗮𝗰𝘁 𝗽𝗲𝗿 𝗱𝗮𝘆?” Exploring Blockchain Data #63 In the previous post we saw how to get the total number of calls made to a smart contract on a daily basis. But what if you check the number calls made by a particular address to that contract? How would you get that? Today we will see how to do that with Bitquery’s API. ``` { EVM(dataset: combined, network: eth) { Calls( limit: {count: 10} orderBy: {descendingByField: "Block_Date"} where: {Call: {From: {is: "0x2ba937d2c71d0fbbeda8ce3bf02a8b88727961ec"}, To: {is: "0x9999fa87f5a1d1c64e7c709838b92006ab0cc1ad"}}} ) { Block { Date(interval: {count: 1, in: days}) } count } } } ``` We start by specifying our address in the "𝘍𝘳𝘰𝘮" filter to denote calls initiated from our address. Then, we indicate the smart contract address in the "𝘛𝘰" filter to target our contract. Lastly, we arrange the outcomes in descending order of "𝘉𝘭𝘰𝘤𝘬_𝘋𝘢𝘵𝘦" to prioritize the latest calls. In the result field, we retrieve the block creation date using the "𝘋𝘢𝘵𝘦" field. By setting the "𝘤𝘰𝘶𝘯𝘵" to 1 and "𝘪𝘯" (period of interval) to days, we establish a daily interval, facilitating data retrieval for each day. Since we're getting data for each day, the "𝘤𝘰𝘶𝘯𝘵" field provides the frequency of smart contract invocations on a daily basis. I hope you understood today’s query. To try out this query you can go to https://lnkd.in/dxKN8p6s & see the results by pressing the red play button. Today we saw how to get the total number of calls made by an address to a smart contract. Stay tuned for next post. (PS comment down what else you want to see in this series. I will try to add that too.)
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“𝗛𝗼𝘄 𝗱𝗼 𝗜 𝗴𝗲𝘁 𝘁𝗵𝗲 𝘁𝗼𝘁𝗮𝗹 𝗻𝘂𝗺𝗯𝗲𝗿 𝗼𝗳 𝗰𝗮𝗹𝗹𝘀 𝗺𝗮𝗱𝗲 𝗯𝘆 𝗮𝗻 𝗮𝗱𝗱𝗿𝗲𝘀𝘀?” Exploring Blockchain Data #64 Previously we have seen how to get the total number of calls made to a smart contract by an address as we have the total number of calls made by everyone. But what if you want to check the total number of calls made by an address? How would you do that? Today we will see how to do that with Bitquery’s API. ``` { EVM(dataset: combined, network: eth) { Calls( limit: {count: 10} orderBy: {descendingByField: "Block_Date"} where: {Call: {From: {is: "0x2ba937d2c71d0fbbeda8ce3bf02a8b88727961ec"}}} ) { Block { Date(interval: {count: 1, in: days}) } count } } } ``` We start by specifying our address in the "𝘍𝘳𝘰𝘮" filter to denote calls initiated from our address. Then, we arrange the outcomes in descending order of "𝘉𝘭𝘰𝘤𝘬_𝘋𝘢𝘵𝘦" to prioritize the latest calls. In the result field, we retrieve the block creation date using the "𝘋𝘢𝘵𝘦" field. By setting the "𝘤𝘰𝘶𝘯𝘵" to 1 and "𝘪𝘯" (period of interval) to days, we establish a daily interval, facilitating data retrieval for each day. Given our daily focus, the "𝘤𝘰𝘶𝘯𝘵" field provides the frequency of smart contract invocations on a daily basis. I hope you understood today’s query. To try out this query you can go to https://lnkd.in/dxdCMUWf & see the results by pressing the red play button. Today we saw how to get the total number of calls made by an address to any smart contract. Stay tuned for next post. (PS comment down what else you want to see in this series. I will try to add that too.)
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“𝗛𝗼𝘄 𝗱𝗼 𝗜 𝗴𝗲𝘁 𝘁𝗼𝘁𝗮𝗹 𝗰𝗼𝗻𝘁𝗿𝗮𝗰𝘁𝘀 𝗱𝗲𝗽𝗹𝗼𝘆𝗲𝗱 𝗯𝘆 𝗮 𝘁𝗼𝗽 𝗰𝗿𝗲𝗮𝘁𝗼𝗿 𝗶𝗻 𝗮 𝘄𝗲𝗲𝗸?” Exploring Blockchain Data #67 In the previous discussion, we explored a method for identifying top smart contract creators within a network. But what if the goal is to track the number of contracts they create within a specific timeframe, such as a week? How would you get that? Today we will see how to do that with Bitquery’s API. ``` { EVM(dataset: combined, network: eth) { Calls( limit: {count: 10} orderBy: {descendingByField: "Block_Date"} where: {Call: {Create: true, From: {is: "0x881d4032abe4188e2237efcd27ab435e81fc6bb1"}}} ) { Block { Date(interval: {count: 1, in: weeks}) } count } } } ``` We initiate by defining our address in the "𝘍𝘳𝘰𝘮" filter to isolate calls originating from it. Then, we activate the “𝘊𝘳𝘦𝘢𝘵𝘦” filter, specifying the creation of new smart contracts. Lastly, we sort the results in descending order based on "𝘉𝘭𝘰𝘤𝘬_𝘋𝘢𝘵𝘦" to prioritize the most recent week. The resulting dataset provides the creation date of each block via the “𝘋𝘢𝘵𝘦” field. We further segment this by setting an interval of one week with “𝘤𝘰𝘶𝘯𝘵” set to 1 and the interval period defined as weeks. Given our weekly focus, the "𝘤𝘰𝘶𝘯𝘵" field provides the frequency of smart contracts created per week. I hope you understood today’s query. To try out this query you can go to https://lnkd.in/dbj8BkQZ & see the results by pressing the red play button. Today we saw how to get the total number of contracts created by a top creator on a network. Stay tuned for next post. (PS comment down what else you want to see in this series. I will try to add that too.)
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“𝗛𝗼𝘄 𝗱𝗼 𝗜 𝗴𝗲𝘁 𝘁𝗵𝗲 𝗯𝘆𝘁𝗲𝗰𝗼𝗱𝗲 𝗼𝗳 𝗮 𝘁𝗼𝗸𝗲𝗻 𝗰𝗼𝗻𝘁𝗿𝗮𝗰𝘁?” Exploring Blockchain Data #61 Previously we have seen how to get smart contracts created on a network as well as identifying the deployer. But what if you want to check the bytecode of a contract? How would you do that? In today’s post we will see how to do that with Bitquery’s API. ``` { EVM(dataset: combined, network: eth) { Calls( where: {Call: {Create: true, To: {is: "0x43506849d7c04f9138d1a2050bbf3a0c054402dd"}}} ) { Block { Time } Call { Output } Transaction { Hash From } } } } ``` To start, we'll utilize the "𝘛𝘰" filter, specifying the address of our desired smart contract, and then we will set the “𝘊𝘳𝘦𝘢𝘵𝘦” filter to true to indicate creation of the contract. The outcome presents the creation timestamp of the block in which the smart contract came into existence, denoted by the "𝘛𝘪𝘮𝘦". The "𝘖𝘶𝘵𝘱𝘶𝘵" field represents the encoded bytecode of the smart contract address, while within the Transaction field, we retrieve the sender's address of the transaction that instigated the smart contract creation via the “𝘍𝘳𝘰𝘮” field, along with the transaction hash utilizing the "𝘏𝘢𝘴𝘩" field. I hope you understood today’s query. To try out this query you can go to https://lnkd.in/dgXEd84s & see the results by pressing the red play button. Today we saw how to get the bytecode of a smart contract. Stay tuned for next post. (PS comment down what else you want to see in this series. I will try to add that too.)
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“𝗛𝗼𝘄 𝗱𝗼 𝗜 𝗴𝗲𝘁 𝗮𝗹𝗹 𝘀𝗺𝗮𝗿𝘁 𝗰𝗼𝗻𝘁𝗿𝗮𝗰𝘁𝘀 𝗰𝗿𝗲𝗮𝘁𝗲𝗱 𝗯𝘆 𝗮 𝘀𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝗮𝗱𝗱𝗿𝗲𝘀𝘀?” Exploring Blockchain Data #58 In the previous post, we learned how to check the deployer of a smart contract. However, what if you need to check all the smart contracts created by a specific address? How would you accomplish that? Let's look into that using Bitquery’s API. ``` { EVM(dataset: combined, network: eth) { Calls( limit: {count: 10} where: {Call: {Create: true}, Transaction: {From: {is: "0x2ba937d2c71d0fbbeda8ce3bf02a8b88727961ec"}}} ) { Block { Number Time } Call { To } Transaction { From Hash } } } } ``` Here, we specify our deployer's address within the “𝘍𝘳𝘰𝘮” filter and set the “𝘊𝘳𝘦𝘢𝘵𝘦” filter to true, signaling the creation of a new smart contract. The outcome presents the creation timestamp and the block number in which the smart contract came into existence, denoted by the "𝘛𝘪𝘮𝘦" and "𝘕𝘶𝘮𝘣𝘦𝘳" fields respectively. The "𝘛𝘰" field represents the smart contract address, while within the Transaction field, we extract the initiator's address of the triggering transaction through the "𝘍𝘳𝘰𝘮" field, along with the transaction hash utilizing the "𝘏𝘢𝘴𝘩" field. I hope you understood today’s query. To try out this query you can go to https://lnkd.in/dNXUeCfa & see the results by pressing the red play button. Today we saw how to get all the smart contracts created by a specific address. Stay tuned for next post. (PS comment down what else you want to see in this series. I will try to add that too.)
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“𝗛𝗼𝘄 𝘁𝗼 𝗳𝗶𝗹𝘁𝗲𝗿 𝗰𝗮𝗹𝗹𝘀 𝗯𝘆 𝗮 𝗽𝗮𝗿𝘁𝗶𝗰𝘂𝗹𝗮𝗿 𝘁𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻?” Exploring Blockchain Data #52 In the prior post, we discussed how to retrieve recent smart contract calls from the Ethereum network. However, if you're interested in calls related to a particular transaction, how can you accomplish that? In today’s post we will see how to do that with Bitquery’s API. ``` { EVM(dataset: combined, network: eth) { Calls( limit: {count: 10} where: {Transaction: {Hash: {is: "0x27460fc45e380ff53349c27ff288ed8ea539686df73ca6c3f36d17c66f2f8728"}}} ) { Call { InternalCalls LogCount Signature { Name } } Transaction { From Hash To } } } } ``` We will limit the results to 10 in order to optimize our query and then provide our transaction hash to the “𝘏𝘢𝘴𝘩” filter so that we can target the desired transaction. The Call field contains information about the smart contract call itself where we will get the number of logs associated with the call in the “𝘓𝘰𝘨𝘊𝘰𝘶𝘯𝘵” field and the number of internal calls made within the call with the “𝘐𝘯𝘵𝘦𝘳𝘯𝘢𝘭𝘊𝘢𝘭𝘭𝘴” field. “𝘕𝘢𝘮𝘦” will provide us the name of the function executed. The Transaction field contains information about the transaction that initiated the smart contract call, like the address of the sender and receiver with “𝘍𝘳𝘰𝘮” & “𝘛𝘰” fields respectively and “𝘏𝘢𝘴𝘩” will provide us the transaction hash. I hope you understood today’s query. To try this query you can go to https://lnkd.in/dMBAhbY3 & see the results by pressing the red play button. Today we saw how to get calls related to a particular transaction. Stay tuned for next post. (PS comment down what else you want to see in this series. I will try to add that too.)
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“𝗛𝗼𝘄 𝗱𝗼 𝗜 𝗴𝗲𝘁 𝘁𝗼𝗽 𝘀𝗺𝗮𝗿𝘁 𝗰𝗼𝗻𝘁𝗿𝗮𝗰𝘁 𝗱𝗲𝗽𝗹𝗼𝘆𝗲𝗿𝘀 𝗼𝗻 𝗮 𝗻𝗲𝘁𝘄𝗼𝗿𝗸?” Exploring Blockchain Data #65 In our previous discussions, we've seen how to retrieve the latest smart contracts on a network and verify their deployer. But what if you're keen on checking the top smart contract deployers within a network? How can you achieve that? Today we will see how to do that with Bitquery’s API. ``` { EVM(network: eth, dataset: combined) { Calls( limit: {count: 10} orderBy: {descendingByField: "count"} where: {Block: {Date: {since: "2024-01-01"}}, Call: {Create: true}} ) { Call { From } count } } } ``` We'll focus on identifying the top deployers for this year. Within the “𝘋𝘢𝘵𝘦” filter, we'll specify the desired time frame and set the “𝘊𝘳𝘦𝘢𝘵𝘦” filter to true, signaling the creation of new smart contracts. Finally, we'll organize the results in descending order based on the “𝘤𝘰𝘶𝘯𝘵” field, ensuring we retrieve the top deployers first. The returned data will provide the deployer's address under the “𝘍𝘳𝘰𝘮” field and the count of contracts deployed by them under the “𝘤𝘰𝘶𝘯𝘵” field. I hope you understood today’s query. To try out this query you can go to https://lnkd.in/gDSQu8pN & see the results by pressing the red play button. Today we saw how to get the total number of calls made by an address to any smart contract. Stay tuned for next post. (PS comment down what else you want to see in this series. I will try to add that too.)
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“𝗛𝗼𝘄 𝗱𝗼 𝗜 𝘁𝗿𝗮𝗰𝗸 𝗮𝗹𝗹 𝘁𝗵𝗲 𝘁𝗿𝗮𝗻𝘀𝗳𝗲𝗿𝘀 𝗿𝗲𝗹𝗮𝘁𝗲𝗱 𝘁𝗼 𝗮𝗻 𝗮𝗱𝗱𝗿𝗲𝘀𝘀?” Exploring Blockchain Data #85 In previous posts, we've learned how to track incoming and outgoing transfers for a specific address. But what if you want to monitor both types of transfers simultaneously? How would you do that? Today we will see how to do that with Bitquery’s API. ``` subscription { Solana { Transfers( where: {any: [{Transfer: {Receiver: {Address: {is: "9WzDXwBbmkg8ZTbNMqUxvQRAyrZzDsGYdLVL9zYtAWWM"}}}}, {Transfer: {Sender: {Address: {is: "9WzDXwBbmkg8ZTbNMqUxvQRAyrZzDsGYdLVL9zYtAWWM"}}}}]} ) { Block { Time } Transfer { Amount Currency { Name Symbol } Receiver { Address } Sender { Address } } } } } ``` We will make use of “𝘢𝘯𝘺” filter which acts like an OR operator. We will put 2 conditions within “𝘢𝘯𝘺” filter one is for when a given address is sender and other is for when the given address is receiver. If either condition is true that transfer will be included in the result. The resulting data includes the block creation time in the "𝘛𝘪𝘮𝘦" field. In the Transfer section, we capture details such as the transferred token amount in the "𝘈𝘮𝘰𝘶𝘯𝘵" field, along with the token's name and symbol, which can be found under the "𝘕𝘢𝘮𝘦" and "𝘚𝘺𝘮𝘣𝘰𝘭" fields Finally, the Receiver field provides the recipient's address, while the Sender field provides the sender's address in the "𝘈𝘥𝘥𝘳𝘦𝘴𝘴" field. I hope you understood today’s query. To try out this query you can go to https://lnkd.in/duSKfKGt & see the results by pressing the red play button. Today we saw how to track real time all token transfers related to an address. Stay tuned for next post. (PS comment down what else you want to see in this series. I will try to add that too.)
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“𝗛𝗼𝘄 𝗱𝗼 𝗜 𝘁𝗿𝗮𝗰𝗸 𝘁𝗵𝗲 𝗶𝗻𝗱𝗲𝘅 𝗼𝗳 𝘁𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻𝘀?” Exploring Blockchain Data #92 In the previous post we saw how to track transactions occurring on the Soalna network. Now what if you want to monitor the index of these transactions? How would you do that? In today’s post we will see how to track the index of a transaction with Bitquery’s API. ``` subscription { Solana { Transactions(limit: {count: 10}) { Block { Height Time } Transaction { Accounts { Address } Fee FeeInUSD FeePayer Index Signature Signer } } } } ``` We will only use the “𝘭𝘪𝘮𝘪𝘵” filter to optimize our query. The Block section returns data related to the block in which the transaction took place. We will get the number and creation time of the block with “𝘏𝘦𝘪𝘨𝘩𝘵” & “𝘛𝘪𝘮𝘦” fields respectively. In the Transaction section we will get the information of that transaction. In the “𝘈𝘥𝘥𝘳𝘦𝘴𝘴” field, we will get addresses of vote authority, vote account & vote program respectively. “𝘍𝘦𝘦𝘗𝘢𝘺𝘦𝘳” will provide the address of the vote authority. There is a field called “𝘐𝘯𝘥𝘦𝘹” which will give you the index/position of that transaction within the block. Additionally we will get the fee of that transaction under the “𝘍𝘦𝘦” field, along with its corresponding value in USD with “𝘍𝘦𝘦𝘐𝘯𝘜𝘚𝘋” field. “Signature” field returns the transaction hash and address of the vote authority is available under the “𝘚𝘪𝘨𝘯𝘦𝘳” field. I hope you understood today’s query. To try out this query you can go to https://lnkd.in/d-ka_F4n & see the results by pressing the red play button. Today we saw how to monitor the index of a transaction occurring on the Solana network. Stay tuned for next post. (PS comment down what else you want to see in this series. I will try to add that too.)
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