← The evidence ledger
Evidence row 755147
Observed , by sync.x402_bazaar/1.
- Kind
- listing
- About
- source_record x402_bazaar:https://market.datapackvibe.com/x402/assistant-sector-ml-audience-level-log-loss
- Recorded
- Previous row
- #556128
- Body SHA-256
- ae0bf62ccac27b82ac93119d4175bc4bf63ba3f5d1142ac841f70f8241415ba2
- Leaf
- 0xcbb8dda30cdadcc19b4e4eca8eaa4ad95bdec34f1347da359ea7f1f99d7ad3ad
What was observed
{
"endpoints": [
[
"x402",
"https://market.datapackvibe.com/x402/assistant-sector-ml-audience-level-log-loss"
]
],
"name": "market.datapackvibe.com/x402/assistant-sector-ml-audience-level-log-loss",
"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": "Audience level - Multiclass log loss: Multiclass log loss for Audience level. 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 multiclass log loss deliverable.",
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"records": [
{
"actual": "beginner",
"id": "example-0-0",
"predicted": "beginner",
"probabilities": [
0.8,
0.1,
0.1
],
"text": "beginner sample document number 0 for this supplied dataset."
},
{
"actual": "beginner",
"id": "example-0-1",
"predicted": "beginner",
"probabilities": [
0.8,
0.1,
0.1
],
"text": "beginner sample document number 1 for this supplied dataset."
},
{
"actual": "beginner",
"id": "example-0-2",
"predicted": "beginner",
"probabilities": [
0.8,
0.1,
0.1
],
"text": "beginner sample document number 2 for this supplied dataset."
},
{
"actual": "intermediate",
"id": "example-1-0",
"predicted": "intermediate",
"probabilities": [
0.1,
0.8,
0.1
],
"text": "intermediate sample document number 0 for this supplied dataset."
},
{
"actual": "intermediate",
"id": "example-1-1",
"predicted": "intermediate",
"probabilities": [
0.1,
0.8,
0.1
],
"text": "intermediate sample document number 1 for this supplied dataset."
},
{
"actual": "intermediate",
"id": "example-1-2",
"predicted": "intermediate",
"probabilities": [
0.1,
0.8,
0.1
],
"text": "intermediate sample document number 2 for this supplied dataset."
},
{
"actual": "advanced",
"id": "example-2-0",
"predicted": "advanced",
"probabilities": [
0.1,
0.1,
0.8
],
"text": "advanced sample document number 0 for this supplied dataset."
},
{
"actual": "advanced",
"id": "example-2-1",
"predicted": "advanced",
"probabilities": [
0.1,
0.1,
0.8
],
"text": "advanced sample document number 1 for this supplied dataset."
},
{
"actual": "advanced",
"id": "example-2-2",
"predicted": "advanced",
"probabilities": [
0.1,
0.1,
0.8
],
"text": "advanced 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-audience-level-log-loss"
},
"sku": "assistant-sector-ml-audience-level-log-loss",
"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": "beginner",
"id": "example-0-0",
"predicted": "beginner",
"probabilities": [
0.8,
0.1,
0.1
],
"text": "beginner sample document number 0 for this supplied dataset."
},
{
"actual": "beginner",
"id": "example-0-1",
"predicted": "beginner",
"probabilities": [
0.8,
0.1,
0.1
],
"text": "beginner sample document number 1 for this supplied dataset."
},
{
"actual": "beginner",
"id": "example-0-2",
"predicted": "beginner",
"probabilities": [
0.8,
0.1,
0.1
],
"text": "beginner sample document number 2 for this supplied dataset."
},
{
"actual": "intermediate",
"id": "example-1-0",
"predicted": "intermediate",
"probabilities": [
0.1,
0.8,
0.1
],
"text": "intermediate sample document number 0 for this supplied dataset."
},
{
"actual": "intermediate",
"id": "example-1-1",
"predicted": "intermediate",
"probabilities": [
0.1,
0.8,
0.1
],
"text": "intermediate sample document number 1 for this supplied dataset."
},
{
"actual": "intermediate",
"id": "example-1-2",
"predicted": "intermediate",
"probabilities": [
0.1,
0.8,
0.1
],
"text": "intermediate sample document number 2 for this supplied dataset."
},
{
"actual": "advanced",
"id": "example-2-0",
"predicted": "advanced",
"probabilities": [
0.1,
0.1,
0.8
],
"text": "advanced sample document number 0 for this supplied dataset."
},
{
"actual": "advanced",
"id": "example-2-1",
"predicted": "advanced",
"probabilities": [
0.1,
0.1,
0.8
],
"text": "advanced sample document number 1 for this supplied dataset."
},
{
"actual": "advanced",
"id": "example-2-2",
"predicted": "advanced",
"probabilities": [
0.1,
0.1,
0.8
],
"text": "advanced sample document number 2 for this supplied dataset."
}
],
"items": {
"additionalProperties": false,
"properties": {
"actual": {
"enum": [
"beginner",
"intermediate",
"advanced"
],
"type": "string"
},
"id": {
"default": "",
"maxLength": 80,
"minLength": 1,
"type": "string"
},
"predicted": {
"enum": [
"beginner",
"intermediate",
"advanced"
],
"type": "string"
},
"probabilities": {
"default": [],
"items": {
"default": 0,
"maximum": 1,
"minimum": 0,
"type": "number"
},
"maxItems": 3,
"minItems": 3,
"type": "array"
},
"text": {
"default": "",
"maxLength": 1000,
"type": "string"
}
},
"required": [
"id",
"text",
"actual",
"predicted",
"probabilities"
],
"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": "2026-10-28T08:40:22.548Z",
"quality": {
"l30DaysTotalCalls": 2,
"l30DaysUniquePayers": 1,
"lastCalledAt": "2026-10-27T19:25:22.952Z"
},
"resource": "https://market.datapackvibe.com/x402/assistant-sector-ml-audience-level-log-loss",
"tags": [
"ai",
"sector-ml",
"workflow"
],
"type": "http",
"x402Version": 2
},
"source": "x402_bazaar",
"summary": "Audience level - Multiclass log loss: Multiclass log loss for Audience level. 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 multiclass log loss deliverable."
}What the leaf hashes
{"body":"ae0bf62ccac27b82ac93119d4175bc4bf63ba3f5d1142ac841f70f8241415ba2","id":755147,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793178922594714,"prev":556128,"subject":"x402_bazaar:https://market.datapackvibe.com/x402/assistant-sector-ml-audience-level-log-loss","subject_kind":"source_record"}Proof
Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (231336 rows).
- 0xcbb8f01c9621d2b6ba51425ab22b50210b84e95068566256b790fa4f50e05884
- 0x1c7e5976ce79600a85043e37b76d9d7d57f4cb4a4ffdabeae630caa314ec5637
- 0xc30c42ff48fe2e8810ab2f6447a9dfd5666fe560c7414c88c8e6164d49fcd97b
- 0xc8ac16894066e860ef17b6a53807c84fb429adebe96fb357ad4afb1d7eda39fb
- 0x425d3193ca4c4883e5bca359402ee2dd6b48dc5b8ed62d03b26b37e0172b5f70
- 0xd917446d4512a34e1a929c55a5141db442732ce585818dfcec799374aa8fb085
- 0x46cce50946cf727436f74559264add27325b5d32e3ea62ac0da90f439552b5a2
- 0xd163f1c0f6229bd8fa12ee0553edbce6fe2d0bf588eb575bd2e33a5b0e7f687c
- 0x3e075247e59daa17a85f03e0fa2ce09752bf73a6aa75d04812e5c02de620b501
- 0xddab1afd799bd5a16171ce58fe19ea68de4abea75d31ea53b83d09e405f0983e
- 0x18faeef9bc85ae5311ad6b648824cd325602a5448b6840679cbb04f62e6fa92c
- 0x6c987a929fa86d932f4e27771a9c39d49f983a42654cb3f155d91abff381a956
- 0x1f99df47306e7104ac9c626f7183c80611a0f90b978c68f0770fd8379ecbaeb9
- 0x8e49280a62bd5d52127f332ab6aea9d7c57381f541e0178094a62272a9d2e741
- 0x6d86d2282dd724b1b80d031e4e3cf9ed095b746e38c9e58d933efb597daff87f
- 0x32beeeb960280bc48748681cb10297ede9403461fe9c8143fdf946548e552926
- 0xe08e8bd91858a8a10c46ecde9c29a6288b960987303173c5e882afb46ce91fa0
- 0xe6cfe00ae4e02bc12327e45b5f3334ea5850ba3bcc8e3101d30a8189856a95af
- Day root
- 0x2c19037464cc4c493624565f01775d6446fc78eaa118fc6865bfe2bfca9ff78e
- Chained
- 0xd1d7dee8322ceff8f4c8d83aa1fe4a4466825c2af1c97dbde3d35db61234f7be
- Published
- On Arc Testnet, block 69584042: 0x8bae2b1d097834c8b458513862d70d29ee807e98dc2e863b27250131c15b35ae