Transaction

a0a9b96ff6c70600349d7d7611b93bb0dabd483263df5fc2f1e00e790e86875c

Summary

Block

794,192(131k)

Date / Time

2023-06-13(2.5y ago)

Fee Rate(sat/vB)

94.7

Total Fee

0.00057009BTC

Technical Details

Version

Size(vB)

602(2,162)

Raw Data(hex)

020000…00000

Weight(wu)

2,408

1 Input, 1 Output

0 P2TR0.00057555BTC7ad7083a5d6…dec8425246 #11 7ad7083…425246 #11 7ad7083…425246 #11

bc1p6j6hzz4lq3enww7auu…3s99qtp98ydf6wsyem5a4 bc1p6j6hzz4l…df6wsyem5a4

0 P2WPKH0.00000546BTC

bc1qqvrecgu66ak4uvuwauhkt0u9g60vzl5e0hgvzz bc1qqvrecgu6…vzl5e0hgvzz bc1qqvrec…5e0hgvzz

Input Scripts

	Input
0	witness #0 utf8V!��e��-�<��혤V�#߶V$��;�qx%�t�z��Z�<�̞��"�C" ��V!��e��-�<��혤V�#߶V$��;�qx%�t�z��Z�<�̞��"�C" �� asciiV!leTO-h<kVm$V#_6V$NrE;qBx%/ttzNiZe<L~jg" C" ATf-V!leTO-h<kVm$V#_6V$NrE;qBx%/ttzNiZe<L~jg" C" ATf- hex56211a9310ec65d4cf2de83ceb14d6ed98a456862315dfb65624cef2c53b9971c2847825af74f47acee91c5ae53c90cc9e1cfe1deae79922a043220ac1d4e6ad56211a9310ec65d4cf2de83ceb14d6ed98a456862315dfb65624cef2c53b9971c2847825af74f47acee91c5ae53c90cc9e1cfe1deae79922a043220ac1d4e6ad #1 utf8 �k�H��i�K��i��B�Hyy#��@�/.�cordtext/html;charset=utf-8M <!DOCTYPE html> <html> <body> <div id="imageContainer"> <canvas id="myCanvas" width="500" height="500" style="image-rendering: pixelated;"></canvas> </div> <script> fetch('/content/b7205d40f3b1b1486567f0d6e53ff2812983db4c03ad7d3606812cd150c64802i0') .then(response => response.json()) .then(deploy => { console.log(deploy); // Now you can use your JSON data here window.deploy = deploy; let nfo = { "p": deploy.p, "op": deploMy.op, "s": deploy.slug, "t_ins": [ "b7205d40f3b1b1486567f0d6e53ff2812983db4c03ad7d3606812cd150c64802i0" ], "h": "b45727a8fc520bf3528145e0046d1c40055a0ca32e6eb1ffd43deb3eeea5e90d", "id": "813", "a": [ [ 0, deploy.traits.background["brown"].base64 ], [ 0, deploy.traits.accessories["antenna"].base64 ], [ 0, deploy.traits.body["gold-oval"].base64 ], [ 0, deploy.traits.belly["square"].baseM64 ], [ 0, deploy.traits.face["surprised"].base64 ] ] } console.log(nfo); // Get the canvas context let ctx = document.getElementById('myCanvas').getContext('2d'); // Disable image smoothing ctx.imageSmoothingEnabled = false; // For each layer for(let i = 0; i < nfo.a.length; i++) { let img = new Image(); // When the image has loaded img.onload = function() { //MO Draw the image onto the canvas ctx.drawImage(img, 0, 0, 500, 500); } // Set the source of the image to be the base64 string img.src = 'data:image/png;base64,' + nfo.a[i][1]; } }) .catch(err => console.log(err)); // Log any errors </script> </body> </html> h �k�H��i�K��i��B�Hyy#��@�/.�cordtext/html;charset=utf-8M <!DOCTYPE html> <html> <body> <div id="imageContainer"> <canvas id="myCanvas" width="500" height="500" style="image-rendering: pixelated;"></canvas> </div> <script> fetch('/content/b7205d40f3b1b1486567f0d6e53ff2812983db4c03ad7d3606812cd150c64802i0') .then(response => response.json()) .then(deploy => { console.log(deploy); // Now you can use your JSON data here window.deploy = deploy; let nfo = { "p": deploy.p, "op": deploMy.op, "s": deploy.slug, "t_ins": [ "b7205d40f3b1b1486567f0d6e53ff2812983db4c03ad7d3606812cd150c64802i0" ], "h": "b45727a8fc520bf3528145e0046d1c40055a0ca32e6eb1ffd43deb3eeea5e90d", "id": "813", "a": [ [ 0, deploy.traits.background["brown"].base64 ], [ 0, deploy.traits.accessories["antenna"].base64 ], [ 0, deploy.traits.body["gold-oval"].base64 ], [ 0, deploy.traits.belly["square"].baseM64 ], [ 0, deploy.traits.face["surprised"].base64 ] ] } console.log(nfo); // Get the canvas context let ctx = document.getElementById('myCanvas').getContext('2d'); // Disable image smoothing ctx.imageSmoothingEnabled = false; // For each layer for(let i = 0; i < nfo.a.length; i++) { let img = new Image(); // When the image has loaded img.onload = function() { //MO Draw the image onto the canvas ctx.drawImage(img, 0, 0, 500, 500); } // Set the source of the image to be the base64 string img.src = 'data:image/png;base64,' + nfo.a[i][1]; } }) .catch(err => console.log(err)); // Log any errors </script> </body> </html> h ascii <k&HMVi"K.8yI=iBEHyy#3@/.,cordtext/html;charset=utf-8M <!DOCTYPE html> <html> <body> <div id="imageContainer"> <canvas id="myCanvas" width="500" height="500" style="image-rendering: pixelated;"></canvas> </div> <script> fetch('/content/b7205d40f3b1b1486567f0d6e53ff2812983db4c03ad7d3606812cd150c64802i0') .then(response => response.json()) .then(deploy => { console.log(deploy); // Now you can use your JSON data here window.deploy = deploy; let nfo = { "p": deploy.p, "op": deploMy.op, "s": deploy.slug, "t_ins": [ "b7205d40f3b1b1486567f0d6e53ff2812983db4c03ad7d3606812cd150c64802i0" ], "h": "b45727a8fc520bf3528145e0046d1c40055a0ca32e6eb1ffd43deb3eeea5e90d", "id": "813", "a": [ [ 0, deploy.traits.background["brown"].base64 ], [ 0, deploy.traits.accessories["antenna"].base64 ], [ 0, deploy.traits.body["gold-oval"].base64 ], [ 0, deploy.traits.belly["square"].baseM64 ], [ 0, deploy.traits.face["surprised"].base64 ] ] } console.log(nfo); // Get the canvas context let ctx = document.getElementById('myCanvas').getContext('2d'); // Disable image smoothing ctx.imageSmoothingEnabled = false; // For each layer for(let i = 0; i < nfo.a.length; i++) { let img = new Image(); // When the image has loaded img.onload = function() { //MO Draw the image onto the canvas ctx.drawImage(img, 0, 0, 500, 500); } // Set the source of the image to be the base64 string img.src = 'data:image/png;base64,' + nfo.a[i][1]; } }) .catch(err => console.log(err)); // Log any errors </script> </body> </html> h <k&HMVi"K.8yI=iBEHyy#3@/.,cordtext/html;charset=utf-8M <!DOCTYPE html> <html> <body> <div id="imageContainer"> <canvas id="myCanvas" width="500" height="500" style="image-rendering: pixelated;"></canvas> </div> <script> fetch('/content/b7205d40f3b1b1486567f0d6e53ff2812983db4c03ad7d3606812cd150c64802i0') .then(response => response.json()) .then(deploy => { console.log(deploy); // Now you can use your JSON data here window.deploy = deploy; let nfo = { "p": deploy.p, "op": deploMy.op, "s": deploy.slug, "t_ins": [ "b7205d40f3b1b1486567f0d6e53ff2812983db4c03ad7d3606812cd150c64802i0" ], "h": "b45727a8fc520bf3528145e0046d1c40055a0ca32e6eb1ffd43deb3eeea5e90d", "id": "813", "a": [ [ 0, deploy.traits.background["brown"].base64 ], [ 0, deploy.traits.accessories["antenna"].base64 ], [ 0, deploy.traits.body["gold-oval"].base64 ], [ 0, deploy.traits.belly["square"].baseM64 ], [ 0, deploy.traits.face["surprised"].base64 ] ] } console.log(nfo); // Get the canvas context let ctx = document.getElementById('myCanvas').getContext('2d'); // Disable image smoothing ctx.imageSmoothingEnabled = false; // For each layer for(let i = 0; i < nfo.a.length; i++) { let img = new Image(); // When the image has loaded img.onload = function() { //MO Draw the image onto the canvas ctx.drawImage(img, 0, 0, 500, 500); } // Set the source of the image to be the base64 string img.src = 'data:image/png;base64,' + nfo.a[i][1]; } }) .catch(err => console.log(err)); // Log any errors </script> </body> </html> h 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#2 utf8��k�H��i�K��i��B�Hyy#��@�/.��k�H��i�K��i��B�Hyy#��@�/. asciiA<k&HMVi"K.8yI=iBEHyy#3@/.A<k&HMVi"K.8yI=iBEHyy#3@/. hexc1bc6ba648cdd669a24baeb8f9c904bd69999042c514487979231cb38640942f2ec1bc6ba648cdd669a24baeb8f9c904bd69999042c514487979231cb38640942f2e

Input

witness

utf8V!��e��-�<��혤V�#߶V$��;�qx%�t�z��Z�<�̞��"�C" ��V!��e��-�<��혤V�#߶V$��;�qx%�t�z��Z�<�̞��"�C" ��

utf8 �k�H��i�K��i��B�Hyy#��@�/.�cordtext/html;charset=utf-8M <!DOCTYPE html> <html> <body> <div id="imageContainer"> <canvas id="myCanvas" width="500" height="500" style="image-rendering: pixelated;"></canvas> </div> <script> fetch('/content/b7205d40f3b1b1486567f0d6e53ff2812983db4c03ad7d3606812cd150c64802i0') .then(response => response.json()) .then(deploy => { console.log(deploy); // Now you can use your JSON data here window.deploy = deploy; let nfo = { "p": deploy.p, "op": deploMy.op, "s": deploy.slug, "t_ins": [ "b7205d40f3b1b1486567f0d6e53ff2812983db4c03ad7d3606812cd150c64802i0" ], "h": "b45727a8fc520bf3528145e0046d1c40055a0ca32e6eb1ffd43deb3eeea5e90d", "id": "813", "a": [ [ 0, deploy.traits.background["brown"].base64 ], [ 0, deploy.traits.accessories["antenna"].base64 ], [ 0, deploy.traits.body["gold-oval"].base64 ], [ 0, deploy.traits.belly["square"].baseM64 ], [ 0, deploy.traits.face["surprised"].base64 ] ] } console.log(nfo); // Get the canvas context let ctx = document.getElementById('myCanvas').getContext('2d'); // Disable image smoothing ctx.imageSmoothingEnabled = false; // For each layer for(let i = 0; i < nfo.a.length; i++) { let img = new Image(); // When the image has loaded img.onload = function() { //MO Draw the image onto the canvas ctx.drawImage(img, 0, 0, 500, 500); } // Set the source of the image to be the base64 string img.src = 'data:image/png;base64,' + nfo.a[i][1]; } }) .catch(err => console.log(err)); // Log any errors </script> </body> </html> h �k�H��i�K��i��B�Hyy#��@�/.�cordtext/html;charset=utf-8M <!DOCTYPE html> <html> <body> <div id="imageContainer"> <canvas id="myCanvas" width="500" height="500" style="image-rendering: pixelated;"></canvas> </div> <script> fetch('/content/b7205d40f3b1b1486567f0d6e53ff2812983db4c03ad7d3606812cd150c64802i0') .then(response => response.json()) .then(deploy => { console.log(deploy); // Now you can use your JSON data here window.deploy = deploy; let nfo = { "p": deploy.p, "op": deploMy.op, "s": deploy.slug, "t_ins": [ "b7205d40f3b1b1486567f0d6e53ff2812983db4c03ad7d3606812cd150c64802i0" ], "h": "b45727a8fc520bf3528145e0046d1c40055a0ca32e6eb1ffd43deb3eeea5e90d", "id": "813", "a": [ [ 0, deploy.traits.background["brown"].base64 ], [ 0, deploy.traits.accessories["antenna"].base64 ], [ 0, deploy.traits.body["gold-oval"].base64 ], [ 0, deploy.traits.belly["square"].baseM64 ], [ 0, deploy.traits.face["surprised"].base64 ] ] } console.log(nfo); // Get the canvas context let ctx = document.getElementById('myCanvas').getContext('2d'); // Disable image smoothing ctx.imageSmoothingEnabled = false; // For each layer for(let i = 0; i < nfo.a.length; i++) { let img = new Image(); // When the image has loaded img.onload = function() { //MO Draw the image onto the canvas ctx.drawImage(img, 0, 0, 500, 500); } // Set the source of the image to be the base64 string img.src = 'data:image/png;base64,' + nfo.a[i][1]; } }) .catch(err => console.log(err)); // Log any errors </script> </body> </html> h

ascii <k&HMVi"K.8yI=iBEHyy#3@/.,cordtext/html;charset=utf-8M <!DOCTYPE html> <html> <body> <div id="imageContainer"> <canvas id="myCanvas" width="500" height="500" style="image-rendering: pixelated;"></canvas> </div> <script> fetch('/content/b7205d40f3b1b1486567f0d6e53ff2812983db4c03ad7d3606812cd150c64802i0') .then(response => response.json()) .then(deploy => { console.log(deploy); // Now you can use your JSON data here window.deploy = deploy; let nfo = { "p": deploy.p, "op": deploMy.op, "s": deploy.slug, "t_ins": [ "b7205d40f3b1b1486567f0d6e53ff2812983db4c03ad7d3606812cd150c64802i0" ], "h": "b45727a8fc520bf3528145e0046d1c40055a0ca32e6eb1ffd43deb3eeea5e90d", "id": "813", "a": [ [ 0, deploy.traits.background["brown"].base64 ], [ 0, deploy.traits.accessories["antenna"].base64 ], [ 0, deploy.traits.body["gold-oval"].base64 ], [ 0, deploy.traits.belly["square"].baseM64 ], [ 0, deploy.traits.face["surprised"].base64 ] ] } console.log(nfo); // Get the canvas context let ctx = document.getElementById('myCanvas').getContext('2d'); // Disable image smoothing ctx.imageSmoothingEnabled = false; // For each layer for(let i = 0; i < nfo.a.length; i++) { let img = new Image(); // When the image has loaded img.onload = function() { //MO Draw the image onto the canvas ctx.drawImage(img, 0, 0, 500, 500); } // Set the source of the image to be the base64 string img.src = 'data:image/png;base64,' + nfo.a[i][1]; } }) .catch(err => console.log(err)); // Log any errors </script> </body> </html> h <k&HMVi"K.8yI=iBEHyy#3@/.,cordtext/html;charset=utf-8M <!DOCTYPE html> <html> <body> <div id="imageContainer"> <canvas id="myCanvas" width="500" height="500" style="image-rendering: pixelated;"></canvas> </div> <script> fetch('/content/b7205d40f3b1b1486567f0d6e53ff2812983db4c03ad7d3606812cd150c64802i0') .then(response => response.json()) .then(deploy => { console.log(deploy); // Now you can use your JSON data here window.deploy = deploy; let nfo = { "p": deploy.p, "op": deploMy.op, "s": deploy.slug, "t_ins": [ "b7205d40f3b1b1486567f0d6e53ff2812983db4c03ad7d3606812cd150c64802i0" ], "h": "b45727a8fc520bf3528145e0046d1c40055a0ca32e6eb1ffd43deb3eeea5e90d", "id": "813", "a": [ [ 0, deploy.traits.background["brown"].base64 ], [ 0, deploy.traits.accessories["antenna"].base64 ], [ 0, deploy.traits.body["gold-oval"].base64 ], [ 0, deploy.traits.belly["square"].baseM64 ], [ 0, deploy.traits.face["surprised"].base64 ] ] } console.log(nfo); // Get the canvas context let ctx = document.getElementById('myCanvas').getContext('2d'); // Disable image smoothing ctx.imageSmoothingEnabled = false; // For each layer for(let i = 0; i < nfo.a.length; i++) { let img = new Image(); // When the image has loaded img.onload = function() { //MO Draw the image onto the canvas ctx.drawImage(img, 0, 0, 500, 500); } // Set the source of the image to be the base64 string img.src = 'data:image/png;base64,' + nfo.a[i][1]; } }) .catch(err => console.log(err)); // Log any errors </script> </body> </html> h
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Output Scripts

	Script Pub Key
0	hex utf8 ascii hex03079c239ad76d5e338eef2f65bf85469ec17e9903079c239ad76d5e338eef2f65bf85469ec17e99 utf8�#��m^3��/e��F��~��#��m^3��/e��F��~� ascii#Wm^3o/e?FA~#Wm^3o/e?FA~

Transaction

{
    "txid": "a0a9b96ff6c70600349d7d7611b93bb0dabd483263df5fc2f1e00e790e86875c",
    "hash": "434f0fbe337ccf76437e4d20623ee73f457dc8e1a3da820d53aaf59406e8712a",
    "version": 2,
    "size": 2162,
    "vsize": 602,
    "weight": 2408,
    "locktime": 0,
    "vin": [
        {
            "txid": "7ad7083a5d601759270ac2d2b1fea84cbd87a8c6c47b5a98f85212dec8425246",
            "vout": 11,
            "scriptSig": {
                "asm": "",
                "hex": ""
            },
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    "time": 1686666212,
    "blocktime": 1686666212
}

Block Header

{
    "hash": "0000000000000000000464a9b7a02c8b6a8e4a2252a8f761e0a965039ec47fef",
    "confirmations": 131052,
    "height": 794192,
    "version": 628580352,
    "versionHex": "25776000",
    "merkleroot": "ce11fcebf8bb1a73dceb88c59c95da5f2903eec56afb807d203bf4f2d31b4c81",
    "time": 1686666212,
    "mediantime": 1686663388,
    "nonce": 1752428597,
    "bits": "17057e69",
    "target": "000000000000000000057e690000000000000000000000000000000000000000",
    "difficulty": 51234338863442.89,
    "chainwork": "00000000000000000000000000000000000000004b938b6c7e2bbba5b1d85b4a",
    "nTx": 2921,
    "previousblockhash": "000000000000000000011a7a3d941a697749bcf0d62f3d63b56ab43f4b0083b0",
    "nextblockhash": "0000000000000000000210e93613cc5f544183d5fce9e52a1b88bad7448475c0"
}

UTXOs

[
    {
        "bestblock": "000000000000000000018fc33c4bee4b16def4a6f3d12be98683201b7c73fa3c",
        "confirmations": 131052,
        "value": 0.00000546,
        "scriptPubKey": {
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            "desc": "addr(bc1qqvrecgu66ak4uvuwauhkt0u9g60vzl5e0hgvzz)#dmjs9ryy",
            "hex": "001403079c239ad76d5e338eef2f65bf85469ec17e99",
            "address": "bc1qqvrecgu66ak4uvuwauhkt0u9g60vzl5e0hgvzz",
            "type": "witness_v0_keyhash"
        },
        "coinbase": false
    }
]

Transaction

a0a9b96ff6c70600349d7d7611b93bb0dabd483263df5fc2f1e00e790e86875c

Confirmation: Predicted in Next Block

Summary

Technical Details

1 Input, 1 Output

Input Scripts

Output Scripts

Transaction

Block Header

UTXOs