← The evidence ledger
Evidence row 202532
Observed , by sync.x402_bazaar/1.
- Kind
- listing
- About
- source_record x402_bazaar:https://market.datapackvibe.com/x402/assistant-sector-ml-task-type-aggregate-scores
- Recorded
- Previous row
- #116172
- Body SHA-256
- 8866e1775ceb3373ed8d2580adbb05b3c6b9a782af4a587420dbe3ee20778264
- Leaf
- 0x182cbfa85b7defe51258e704054d18cac28cdeea6759be15df7f1712455b3f91
What was observed
{
"endpoints": [
[
"x402",
"https://market.datapackvibe.com/x402/assistant-sector-ml-task-type-aggregate-scores"
]
],
"name": "market.datapackvibe.com/x402/assistant-sector-ml-task-type-aggregate-scores",
"owner_address": "0x8bc2aecdd86097f74a1a5fa17764108d9a683c8c",
"raw": {
"accepts": [
{
"amount": "10000",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"maxTimeoutSeconds": 300,
"network": "eip155:8453",
"payTo": "0x8bc2AECdD86097F74a1a5fa17764108D9a683C8C",
"scheme": "exact"
}
],
"description": "Task type - Macro micro and weighted scores: Macro micro and weighted scores for Task type. Up to 200 supplied labelled text records. Local dataset tools, evaluation and small naive-Bayes baselines; no hosted model or foundation-model training. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded macro micro and weighted scores deliverable.",
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"records": [
{
"actual": "research",
"id": "example-0-0",
"predicted": "research",
"text": "research sample document number 0 for this supplied dataset."
},
{
"actual": "research",
"id": "example-0-1",
"predicted": "research",
"text": "research sample document number 1 for this supplied dataset."
},
{
"actual": "research",
"id": "example-0-2",
"predicted": "research",
"text": "research sample document number 2 for this supplied dataset."
},
{
"actual": "writing",
"id": "example-1-0",
"predicted": "writing",
"text": "writing sample document number 0 for this supplied dataset."
},
{
"actual": "writing",
"id": "example-1-1",
"predicted": "writing",
"text": "writing sample document number 1 for this supplied dataset."
},
{
"actual": "writing",
"id": "example-1-2",
"predicted": "writing",
"text": "writing sample document number 2 for this supplied dataset."
},
{
"actual": "analysis",
"id": "example-2-0",
"predicted": "analysis",
"text": "analysis sample document number 0 for this supplied dataset."
},
{
"actual": "analysis",
"id": "example-2-1",
"predicted": "analysis",
"text": "analysis sample document number 1 for this supplied dataset."
},
{
"actual": "analysis",
"id": "example-2-2",
"predicted": "analysis",
"text": "analysis sample document number 2 for this supplied dataset."
},
{
"actual": "implementation",
"id": "example-3-0",
"predicted": "implementation",
"text": "implementation sample document number 0 for this supplied dataset."
},
{
"actual": "implementation",
"id": "example-3-1",
"predicted": "implementation",
"text": "implementation sample document number 1 for this supplied dataset."
},
{
"actual": "implementation",
"id": "example-3-2",
"predicted": "implementation",
"text": "implementation sample document number 2 for this supplied dataset."
}
]
},
"bodyType": "json",
"method": "POST",
"type": "http"
},
"output": {
"example": {
"files": [],
"order_id": "ord_example",
"result": {
"completed": true,
"workflow": "sector-ml-task-type-aggregate-scores"
},
"sku": "assistant-sector-ml-task-type-aggregate-scores",
"status": "delivered"
},
"type": "json"
}
},
"schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"additionalProperties": false,
"properties": {
"records": {
"default": [
{
"actual": "research",
"id": "example-0-0",
"predicted": "research",
"text": "research sample document number 0 for this supplied dataset."
},
{
"actual": "research",
"id": "example-0-1",
"predicted": "research",
"text": "research sample document number 1 for this supplied dataset."
},
{
"actual": "research",
"id": "example-0-2",
"predicted": "research",
"text": "research sample document number 2 for this supplied dataset."
},
{
"actual": "writing",
"id": "example-1-0",
"predicted": "writing",
"text": "writing sample document number 0 for this supplied dataset."
},
{
"actual": "writing",
"id": "example-1-1",
"predicted": "writing",
"text": "writing sample document number 1 for this supplied dataset."
},
{
"actual": "writing",
"id": "example-1-2",
"predicted": "writing",
"text": "writing sample document number 2 for this supplied dataset."
},
{
"actual": "analysis",
"id": "example-2-0",
"predicted": "analysis",
"text": "analysis sample document number 0 for this supplied dataset."
},
{
"actual": "analysis",
"id": "example-2-1",
"predicted": "analysis",
"text": "analysis sample document number 1 for this supplied dataset."
},
{
"actual": "analysis",
"id": "example-2-2",
"predicted": "analysis",
"text": "analysis sample document number 2 for this supplied dataset."
},
{
"actual": "implementation",
"id": "example-3-0",
"predicted": "implementation",
"text": "implementation sample document number 0 for this supplied dataset."
},
{
"actual": "implementation",
"id": "example-3-1",
"predicted": "implementation",
"text": "implementation sample document number 1 for this supplied dataset."
},
{
"actual": "implementation",
"id": "example-3-2",
"predicted": "implementation",
"text": "implementation sample document number 2 for this supplied dataset."
}
],
"items": {
"additionalProperties": false,
"properties": {
"actual": {
"enum": [
"research",
"writing",
"analysis",
"implementation"
],
"type": "string"
},
"id": {
"default": "",
"maxLength": 80,
"minLength": 1,
"type": "string"
},
"predicted": {
"enum": [
"research",
"writing",
"analysis",
"implementation"
],
"type": "string"
},
"text": {
"default": "",
"maxLength": 1000,
"type": "string"
}
},
"required": [
"id",
"text",
"actual",
"predicted"
],
"type": "object"
},
"maxItems": 200,
"minItems": 2,
"type": "array"
}
},
"required": [
"records"
],
"type": "object"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}
}
},
"lastUpdated": "2026-10-26T09:42:24.882Z",
"quality": {
"l30DaysTotalCalls": 3,
"l30DaysUniquePayers": 1,
"lastCalledAt": "2026-10-26T09:42:24.688Z"
},
"resource": "https://market.datapackvibe.com/x402/assistant-sector-ml-task-type-aggregate-scores",
"tags": [
"ai",
"sector-ml",
"workflow"
],
"type": "http",
"x402Version": 2
},
"source": "x402_bazaar",
"summary": "Task type - Macro micro and weighted scores: Macro micro and weighted scores for Task type. Up to 200 supplied labelled text records. Local dataset tools, evaluation and small naive-Bayes baselines; no hosted model or foundation-model training. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded macro micro and weighted scores deliverable."
}What the leaf hashes
{"body":"8866e1775ceb3373ed8d2580adbb05b3c6b9a782af4a587420dbe3ee20778264","id":202532,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793026280954479,"prev":116172,"subject":"x402_bazaar:https://market.datapackvibe.com/x402/assistant-sector-ml-task-type-aggregate-scores","subject_kind":"source_record"}Proof
Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).
- 0x182cc351d1960adda6cdbc40e080fb70cb895b3d5382e486fadc41b4aa9c5371
- 0xadc02dc175b8691a6c8af94fc5136a458429109795164a7892f2115a48d44763
- 0xdecc92e3519d28a9884836b55a757c81fa8a6b38bc78e0ad1194d05d59c6ddc1
- 0xefd52e23e92733606c6626d7ac7676776a7e996bea064678a1f6fc963c7c8df7
- 0x7013a33a0db6a7c4cde10621e9432cf96285dc1556b646adb0602e93d3a4246c
- 0x6c91f3d22402daa7896e623a7d59fd7f3458cf92993eb23ac1d7b4be8bd9c6b4
- 0x7fdd58cf351adf321bb6401e1804f85c2526337ec6793fc5a146085135dbf925
- 0x6a4fccec71082a1252931255ece23b03cea2588e7275143b013b68ed8baa1516
- 0x80aa64ce2bf6e31f5f88981fac2430f8954888b7e21f1f1f5064efe964f540b0
- 0x4b181a898f514ff9cb15440f5fc1c2a2f938b6e95da8f6b6ddad9ea761c0d44a
- 0x04d98d8716f171bd2264c6c49606521f410107287c5094c713f72cdf2fe1e1ed
- 0x15eab8feed5b3f08165d63b9f1aed508c0624966a05349e051f86f0c188707b5
- 0x32f46c5f73ecbfd4f770f7f760a79bee2afed4b3e7572fa882b3e7dce8df4356
- 0x770e4376196188c7fc9ec40f8e218dc0d1cb92bba5fe0425a0edce27ca9a997f
- 0x60582ab4b41e72eb70eb0bce07fbf0fb4d2b62a8bad5be50f5d16d511adc746c
- 0xc6a4d7899a0f442958e26505011190b7cff2483611c1b94eba9043e0ba9ac36e
- 0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13
- 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
- 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
- Day root
- 0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
- Chained
- 0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
- Published
- On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae