← The evidence ledger
Evidence row 116015
Observed , by baseline/1.
- Kind
- listing
- About
- source_record x402_bazaar:https://market.datapackvibe.com/x402/assistant-sector-ml-commerce-intent-per-label
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- 759c703b650eaa99a18260a62977a8a876eabb9137a15be374c0dd9753339716
- Leaf
- 0x5083af7834dc785c107eff7e9ffd9986f3ed0b35ca9ccd5d7cd1f15a248066dc
What was observed
{
"endpoints": [
[
"x402",
"https://market.datapackvibe.com/x402/assistant-sector-ml-commerce-intent-per-label"
]
],
"name": "market.datapackvibe.com/x402/assistant-sector-ml-commerce-intent-per-label",
"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": "Commerce intent - Per-label precision and recall: Per-label precision and recall for Commerce intent. 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 per-label precision and recall deliverable.",
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"records": [
{
"actual": "browse",
"id": "example-0-0",
"predicted": "browse",
"text": "browse sample document number 0 for this supplied dataset."
},
{
"actual": "browse",
"id": "example-0-1",
"predicted": "browse",
"text": "browse sample document number 1 for this supplied dataset."
},
{
"actual": "browse",
"id": "example-0-2",
"predicted": "browse",
"text": "browse sample document number 2 for this supplied dataset."
},
{
"actual": "purchase",
"id": "example-1-0",
"predicted": "purchase",
"text": "purchase sample document number 0 for this supplied dataset."
},
{
"actual": "purchase",
"id": "example-1-1",
"predicted": "purchase",
"text": "purchase sample document number 1 for this supplied dataset."
},
{
"actual": "purchase",
"id": "example-1-2",
"predicted": "purchase",
"text": "purchase sample document number 2 for this supplied dataset."
},
{
"actual": "return",
"id": "example-2-0",
"predicted": "return",
"text": "return sample document number 0 for this supplied dataset."
},
{
"actual": "return",
"id": "example-2-1",
"predicted": "return",
"text": "return sample document number 1 for this supplied dataset."
},
{
"actual": "return",
"id": "example-2-2",
"predicted": "return",
"text": "return sample document number 2 for this supplied dataset."
},
{
"actual": "other",
"id": "example-3-0",
"predicted": "other",
"text": "other sample document number 0 for this supplied dataset."
},
{
"actual": "other",
"id": "example-3-1",
"predicted": "other",
"text": "other sample document number 1 for this supplied dataset."
},
{
"actual": "other",
"id": "example-3-2",
"predicted": "other",
"text": "other 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-commerce-intent-per-label"
},
"sku": "assistant-sector-ml-commerce-intent-per-label",
"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": "browse",
"id": "example-0-0",
"predicted": "browse",
"text": "browse sample document number 0 for this supplied dataset."
},
{
"actual": "browse",
"id": "example-0-1",
"predicted": "browse",
"text": "browse sample document number 1 for this supplied dataset."
},
{
"actual": "browse",
"id": "example-0-2",
"predicted": "browse",
"text": "browse sample document number 2 for this supplied dataset."
},
{
"actual": "purchase",
"id": "example-1-0",
"predicted": "purchase",
"text": "purchase sample document number 0 for this supplied dataset."
},
{
"actual": "purchase",
"id": "example-1-1",
"predicted": "purchase",
"text": "purchase sample document number 1 for this supplied dataset."
},
{
"actual": "purchase",
"id": "example-1-2",
"predicted": "purchase",
"text": "purchase sample document number 2 for this supplied dataset."
},
{
"actual": "return",
"id": "example-2-0",
"predicted": "return",
"text": "return sample document number 0 for this supplied dataset."
},
{
"actual": "return",
"id": "example-2-1",
"predicted": "return",
"text": "return sample document number 1 for this supplied dataset."
},
{
"actual": "return",
"id": "example-2-2",
"predicted": "return",
"text": "return sample document number 2 for this supplied dataset."
},
{
"actual": "other",
"id": "example-3-0",
"predicted": "other",
"text": "other sample document number 0 for this supplied dataset."
},
{
"actual": "other",
"id": "example-3-1",
"predicted": "other",
"text": "other sample document number 1 for this supplied dataset."
},
{
"actual": "other",
"id": "example-3-2",
"predicted": "other",
"text": "other sample document number 2 for this supplied dataset."
}
],
"items": {
"additionalProperties": false,
"properties": {
"actual": {
"enum": [
"browse",
"purchase",
"return",
"other"
],
"type": "string"
},
"id": {
"default": "",
"maxLength": 80,
"minLength": 1,
"type": "string"
},
"predicted": {
"enum": [
"browse",
"purchase",
"return",
"other"
],
"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": "2026-10-25T06:38:45.766Z",
"quality": {
"l30DaysTotalCalls": 2,
"l30DaysUniquePayers": 1,
"lastCalledAt": "2026-10-25T06:38:45.565Z"
},
"resource": "https://market.datapackvibe.com/x402/assistant-sector-ml-commerce-intent-per-label",
"tags": [
"ai",
"sector-ml",
"workflow"
],
"type": "http",
"x402Version": 2
},
"source": "x402_bazaar",
"summary": "Commerce intent - Per-label precision and recall: Per-label precision and recall for Commerce intent. 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 per-label precision and recall deliverable."
}What the leaf hashes
{"body":"759c703b650eaa99a18260a62977a8a876eabb9137a15be374c0dd9753339716","id":116015,"kind":"listing","method":"baseline/1","observed_us":1793025609039722,"prev":null,"subject":"x402_bazaar:https://market.datapackvibe.com/x402/assistant-sector-ml-commerce-intent-per-label","subject_kind":"source_record"}Proof
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- Day root
- 0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
- Chained
- 0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
- Published
- On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae