engine_getBlobsV4

Retrieve blob cells from the Execution layer blobpool

Parameters (by position)

Blob versioned hashes array<string> required

32 byte hex value

Match pattern: ^0x[0-9a-f]{64}$

---

Cell indices bitarray string required

---

Result

List of requested blob cells and proofs, with positional nulls for missing blobs array<unknown> or null

---

Show Option 1 List of requested blob cells and proofs, with positional nulls for missing blobs array

List of requested blob cells and proofs, with positional nulls for missing blobs fields

List of requested blob cells and proofs, with positional nulls for missing blobs object or null

---

Show Option 1 Blob cells and proofs object V1 object

Blob cells and proofs object V1 fields

List of requested blob cells and proofs, with positional nulls for missing blobs array<object>

Blob cells and proofs object V1

---

Show List of requested blob cells and proofs, with positional nulls for missing blobs object

List of requested blob cells and proofs, with positional nulls for missing blobs fields

• blob_cells string or null required

  ---

  Show Option 1 hex encoded bytes string

  hex encoded bytes fields

  blob_cells array<string> required

  hex encoded bytes

  Match pattern: ^0x[0-9a-f]*$

  ---

  Show Option 2 blob_cells null

  blob_cells fields

  blob_cells array<null> required

  ---

• proofs string or null required

  ---

  Show Option 1 48 hex encoded bytes string

  48 hex encoded bytes fields

  proofs array<string> required

  48 hex encoded bytes

  Match pattern: ^0x[0-9a-f]{96}$

  ---

  Show Option 2 proofs null

  proofs fields

  proofs array<null> required

  ---

• additionalProperties true

  ---

Show Option 2 List of requested blob cells and proofs, with positional nulls for missing blobs null

List of requested blob cells and proofs, with positional nulls for missing blobs fields

List of requested blob cells and proofs, with positional nulls for missing blobs array<null>

---

Show Option 2 List of requested blob cells and proofs, with positional nulls for missing blobs null

List of requested blob cells and proofs, with positional nulls for missing blobs fields

List of requested blob cells and proofs, with positional nulls for missing blobs null

---

Errors

Error code: -38004

• code

  -38004

• message

  Too large request

Examples

engine_getBlobsV4 example

Request

{
  "params": [
    [
      "0x014edfed8547661f6cb416eba53061a2f6dce872c0497e6dd485a876fe2567f1",
      "0x01d50a91f3d499e2edd1fed6a705e0b3e0266a8f2d44762ef9914e69a01ec241",
      "0x0100000000000000000000000000000000000000000000000000000000000001"
    ],
    "0x00000000000000000000000000000003"
  ]
}

Response

[
  {
    "blob_cells": [
      "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",
      "0x19ae57949d26242ab2d6ebc4e92e7df1e6f4f4a0c7363c67c98da28e0121c884335caf293a4c485565add789d25cfbe3cde9e9418e6c78cf931b451c0243910866b95e52749890aacb5baf13a4b9f7c79bd3d2831cd8f19f26368a380487221059851551bf93a40d637d861f3fd21789e3ea010339b3873f4c6d1471090e441f3f1c83505589cad293c134367602570e74165e037368b27f98da28e3121c883d0a4b5f4d8176185cf4489064e262d617946f1803e6d3090031b451c7243910791496be9b02ec30b9e89120c9c4c5ac2f28de3007cda612006368a38e487220f2292d7d3605d86173d1224193898b585e51bc600f9b4c2400c6d1471c90e441e4525afa6c0bb0c2e7a24483271316b0bca378c01f369848018da28e3921c883c830c84d84edc40887114f2e461c8b8973f333dc3b6d3234041b451c734391078f61909b09db88110e229e5c8c391712e7e667b876da646808368a38e687220f1e4f338ec08d72a4d41202e110688c4dca7911cceab4ca74116d1471ce0e441e3b2a79762df147cc5ff0cbea18c776c38f9e65f5d269968c23da28e39d1c883c7554f2ec5be28f98bfe197d4318eed871f3ccbeba4d32d1847b451c73a391078ea35f831649b81b4378ff5d05b1439363925da3346a65bd49068a38e757220f1d36bf062c93703686f1feba0b628726c724bb4668d4cb7a920d1471ceae441e3a663f31e3f446953960c9d6964474300df43ab29179970f642a28e39d6c883c74b53f8952b5f3529e3e600fac084e429b93398ae2c32e39086451c73ae91078e953403830394ccd67f98c81d7900267b6d1373b85565c8c50d8a38e75e220f1d29680706072999acff31903af2004cf6da26e770aacb918a1b1471cebc441e3a525c2064bb2995dcb62fe69ddbf6f815aefa113d529724b83728e39d79883c74a344532223298e3c242c9363afe44e5358a064d6a22e4b146f51c73af41078e94514b89cf3297efb0025ecef57befaceabed0c09415c97ccdfa38e75e920f1d289297139e652fdf6004bd9deaf7df59d57da181282b92f99bf471cebd241e3a51252e273cca5fbec0097b3bd5efbeb3aafb4302505725f337e8e39d7a483c74a2431d74046225a5ab8fc2da2b5ee349d5a14a2a607e4c00afe1c73af4a078e944763ae808c44b4b571f85b456bdc693ab429454c0fc98015fc38e75e940f1d288e536f59c55fcbed9bbd7cb2cfaf309d62feccf41c9301cff971cebd291e3a511b32f10c3795fa5def47bf8d9754bf62c0a9dc4436260543f3e39d7a533c74a23565e2186f2bf4bbde8f7f1b2ea97ec58153b8886c4c0a87e7c73af4a678e9446a57d6898b2e4bfa74ebc45e55495bb2fd53b36cd59816b3d08e75e94df1d288d33bbf6bc332fa77a1a44ee4a289158df553a935a8302f0ba21cebd29ce3a511a5039130333c5771fb1563f13d088943e55394c74d605fbb4539d7a53ac74a23490722606678aee3f62ac7e27a111287caa7298e9ac0bf768a73af4a758e9446920e44c0ccf15dc7ec558fc4f422250f954e531d35817eed14e75e94eb1d288d241c898199e2bb8fd8ab1f89e8444a1f2a9ca63a6b02fdda29cebd29d63a511a4839130333c5771fb1563f13d088943e55394c74d605fbb4539d7a53ac74a23490722606678aee3f62ac7e27a111287caa7298e9ac0bf768a73af4a758e9446920705e657bec3f017d25c2773a18af214f91742f5517f0754f75e94eb2d288d23f6ccf23a4aee085b2184b166c27bc6a99cf2abaa72fe28e9febd29d66a511a47d65b09ff634238e1bfd5c54d045d6fd2e4a97d14b5fc6c140d7a53ace4a2348f9577398993ea99eefc77ed198820c22574171fe93bf8f2682af4a759d944691f13af989df53b5c0975bc3cb28fa766ca92f2659247f1ff1065e94eb3c288d23e102056c6b7dce03e6844dbe49eb4b014d0a8f0e45fe41860dbd29d679511a47c1040ad8d6fb9c07cd089b7c93d696029a151e1c8bfc830c1b7a53acf2a2348f820815b1adf7380f9a1136f927ad2c05342a3c3917f9061836f4a759e544691f04102b635bee701f34226df24f5a580a685478722ff20c306de94eb3ca88d23e082056c6b7dce03e6844dbe49eb4b014d0a8f0e45fe41860dbd29d679511a47c1040ad8d6fb9c07cd089b7c93d696029a151e1c8bfc830c1b7a53acf2a2348f8200d6d738c49e37c58e035ba72c91e7b3d5005ed7c906327704a759e554691f03f1adae71893c6f8b1c06b74e5923cf67aa00bdaf920c64ee094eb3caa8d23e07e35b5ce31278df16380d6e9cb2479ecf54017b5f2418c9dc129d679551a47c0fc6b6b9c624f1be2c701add39648f3d9ea802f6be483193b8253acf2aa348f81f862e99171749a4845d021cf248845dbcfaca133c606341b05a759e555691f03ef51e57b8fbf9713436d09c64106e9df9a0584c3890c69da0c4eb3caabd23e07dd2fdd4fcc5590a93ea6d9b47a0431e72eb74be30f18d558199d679558a47c0fb95fba9f98ab21527d4db368f40863ce5d6e97c61e31aab0333acf2ab148f81f724b8797de2ca527b2682cf9e00725c4b58971e83963570467759e556391f03ee3232188692facd21c9d201bb804a9b165bf262c6fc6afaccfeb3caac823e07dc5464310d25f59a4393a403770095362cb7e4c58df8d5f599fd679559047c0fb8a18987a519515cb2a414696d80904ed91a8db0dbc1ac05740acf2ab218f81f7133130f4a32a2b9654828d2db01209db2351b61b783580ae8159e556431f03ee266261e94654572ca9051a5b602413b646a36c36f06b015d02b3caac863e07dc4c50d62b397f10dc09d6fadeb83e859487f31ac9ddd6045e066795590d7c0fb897"
    ],
    "proofs": [
      "0x86e25aa4267f8b11aded591be91fed683d2a708b7c77a910ed9e18ab6a2f976429811ea034319321eb06d99f270137f0",
      "0xb0e21a34db02b2dc360e448c6a7315cae1c455cb234fe6c4a9d74a8ee45b8fadc1012b1b3d07912c692782cc642ad200"
    ]
  },
  {
    "blob_cells": [
      "0x000000000000000000000000000000000000000000000000000000000000000100000000000000000000000000000000000000000000000000000000000000020000000000000000000000000000000000000000000000000000000000000003000000000000000000000000000000000000000000000000000000000000000400000000000000000000000000000000000000000000000000000000000000050000000000000000000000000000000000000000000000000000000000000006000000000000000000000000000000000000000000000000000000000000000700000000000000000000000000000000000000000000000000000000000000080000000000000000000000000000000000000000000000000000000000000009000000000000000000000000000000000000000000000000000000000000000a000000000000000000000000000000000000000000000000000000000000000b000000000000000000000000000000000000000000000000000000000000000c000000000000000000000000000000000000000000000000000000000000000d000000000000000000000000000000000000000000000000000000000000000e000000000000000000000000000000000000000000000000000000000000000f0000000000000000000000000000000000000000000000000000000000000010000000000000000000000000000000000000000000000000000000000000001100000000000000000000000000000000000000000000000000000000000000120000000000000000000000000000000000000000000000000000000000000013000000000000000000000000000000000000000000000000000000000000001400000000000000000000000000000000000000000000000000000000000000150000000000000000000000000000000000000000000000000000000000000016000000000000000000000000000000000000000000000000000000000000001700000000000000000000000000000000000000000000000000000000000000180000000000000000000000000000000000000000000000000000000000000019000000000000000000000000000000000000000000000000000000000000001a000000000000000000000000000000000000000000000000000000000000001b000000000000000000000000000000000000000000000000000000000000001c000000000000000000000000000000000000000000000000000000000000001d000000000000000000000000000000000000000000000000000000000000001e000000000000000000000000000000000000000000000000000000000000001f0000000000000000000000000000000000000000000000000000000000000020000000000000000000000000000000000000000000000000000000000000002100000000000000000000000000000000000000000000000000000000000000220000000000000000000000000000000000000000000000000000000000000023000000000000000000000000000000000000000000000000000000000000002400000000000000000000000000000000000000000000000000000000000000250000000000000000000000000000000000000000000000000000000000000026000000000000000000000000000000000000000000000000000000000000002700000000000000000000000000000000000000000000000000000000000000280000000000000000000000000000000000000000000000000000000000000029000000000000000000000000000000000000000000000000000000000000002a000000000000000000000000000000000000000000000000000000000000002b000000000000000000000000000000000000000000000000000000000000002c000000000000000000000000000000000000000000000000000000000000002d000000000000000000000000000000000000000000000000000000000000002e000000000000000000000000000000000000000000000000000000000000002f0000000000000000000000000000000000000000000000000000000000000030000000000000000000000000000000000000000000000000000000000000003100000000000000000000000000000000000000000000000000000000000000320000000000000000000000000000000000000000000000000000000000000033000000000000000000000000000000000000000000000000000000000000003400000000000000000000000000000000000000000000000000000000000000350000000000000000000000000000000000000000000000000000000000000036000000000000000000000000000000000000000000000000000000000000003700000000000000000000000000000000000000000000000000000000000000380000000000000000000000000000000000000000000000000000000000000039000000000000000000000000000000000000000000000000000000000000003a000000000000000000000000000000000000000000000000000000000000003b000000000000000000000000000000000000000000000000000000000000003c000000000000000000000000000000000000000000000000000000000000003d000000000000000000000000000000000000000000000000000000000000003e000000000000000000000000000000000000000000000000000000000000003f0000000000000000000000000000000000000000000000000000000000000040",
      null
    ],
    "proofs": [
      "0xae9b2667c9f319d225e4cd2d0ce2e0c7c21197593c351dd63013bf462e5746f04f15dab5916bc9b4c83945ddf5dac7f0",
      null
    ]
  },
  null
]

Request

Server URL:

{ "jsonrpc": "2.0", "method": "engine_getBlobsV4", "params": [ [ "0x014edfed8547661f6cb416eba53061a2f6dce872c0497e6dd485a876fe2567f1", "0x01d50a91f3d499e2edd1fed6a705e0b3e0266a8f2d44762ef9914e69a01ec241", "0x0100000000000000000000000000000000000000000000000000000000000001" ], "0x00000000000000000000000000000003" ], "id": 1 }