← The evidence ledger
Evidence row 556128
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
- None: the first of its kind about this subject
- Body SHA-256
- cd2fca0d51963e3d1c9946ce00f3813ad6dba05a540d2d015ea17ad99253477d
- Leaf
- 0x79a708d44d905b9c22116c0c40046ef9c2b95ecda241b4caa32d797c285c09df
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": "2026-10-27T19:25:23.177Z",
"quality": {
"lastCalledAt": "2026-10-27T19:25:23.177Z"
},
"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":"cd2fca0d51963e3d1c9946ce00f3813ad6dba05a540d2d015ea17ad99253477d","id":556128,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793133806090954,"prev":null,"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 (273461 rows).
- 0x79a762102439edb234e50d2cab4b8dcd73e84d58322c3e5b104886c77e5601a8
- 0x8f668c154044445a9f237b78dd055f3362b6071e8dbe54b37123f0a6ec2c0b09
- 0xa8b76ad599c5c695c8e73de6c453eb67f1dfdfab20b58db5378c005fc5032d89
- 0x186588be525f687d7cca78271a3446a93f5738b5a20ffd2dcda122b5cfcb67a0
- 0xdae8952220a2eb03f927db55b92d67ff622d395a141361e1e34ec8dc0773fa81
- 0x87ddb665c425c8d1c25a9080aa708245bb6b8f83c5deb557954867bd0b9f765b
- 0xd54f93b0fe36abcb00a594bff785e22b548d0fcd6a1e7143f1b2d9e4367d7d3a
- 0x4672b655df94719c9be413cfbb3041f164bc7ae41f0ae8635795f222fb9ee493
- 0x16449da9c01adccd4fb70703966cc974fa36c18320114e387b9db34589b10a7e
- 0x5671db75eeaddc94dc4a891114e70d0b39acd13d96c8477b89a74e783ed1443e
- 0x762b944704b581c24cf35c5d2505808d0ceccd237060a6074a4dc586ddf27b75
- 0x0574b16d30fa9d3621e88c3779ea2cd142521826d4e75735f3ae6d4ed075cfc4
- 0x8f2d125f5fe55a24b5da16577766eeaa13f24a272bb4c1c016f423ae917da681
- 0x9848c068b1371232529d2b5738fdc45b854c57da041b69ea7c9e112b14e2d9d1
- 0x275720ecabb68df33eee92ae4fd70572a8d952d6c61c061c2869cfc3217aa5c5
- 0x23cf9bb4337ee8be7fcae368fd69d24c62c11fb45882127b4cd919bb96a19996
- 0x0e01aa9525097570a6edaf32bfc959de57bf5c24317cf10c0716affea85ca60d
- 0xa20d48798a34aba12eb9c7297722982d910f06c148f5e27ac59307422964a585
- 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
- Day root
- 0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
- Chained
- 0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
- Published
- On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4