← The evidence ledger
Evidence row 1792575
Observed , by sync.x402_bazaar/1.
- Kind
- listing
- About
- source_record x402_bazaar:https://market.datapackvibe.com/x402/assistant-sector-ml-email-routing-confusion
- Recorded
- Previous row
- #1040473
- Body SHA-256
- a33915502b9b236b1a492f444ebc4edb7b8434c060c52826453c54c519f425b7
- Leaf
- 0xba9f117c0f1b8f1717e6f0f6bc7eab9d6f69cbeb95a0e9a9522a094ff7d3228d
What was observed
{
"endpoints": [
[
"x402",
"https://market.datapackvibe.com/x402/assistant-sector-ml-email-routing-confusion"
]
],
"name": "Email routing - Confusion matrix",
"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": "Email routing - Confusion matrix: Confusion matrix for Email routing. 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 confusion matrix deliverable.",
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"records": [
{
"actual": "sales",
"id": "example-0-0",
"predicted": "sales",
"text": "sales sample document number 0 for this supplied dataset."
},
{
"actual": "sales",
"id": "example-0-1",
"predicted": "sales",
"text": "sales sample document number 1 for this supplied dataset."
},
{
"actual": "sales",
"id": "example-0-2",
"predicted": "sales",
"text": "sales sample document number 2 for this supplied dataset."
},
{
"actual": "support",
"id": "example-1-0",
"predicted": "support",
"text": "support sample document number 0 for this supplied dataset."
},
{
"actual": "support",
"id": "example-1-1",
"predicted": "support",
"text": "support sample document number 1 for this supplied dataset."
},
{
"actual": "support",
"id": "example-1-2",
"predicted": "support",
"text": "support sample document number 2 for this supplied dataset."
},
{
"actual": "operations",
"id": "example-2-0",
"predicted": "operations",
"text": "operations sample document number 0 for this supplied dataset."
},
{
"actual": "operations",
"id": "example-2-1",
"predicted": "operations",
"text": "operations sample document number 1 for this supplied dataset."
},
{
"actual": "operations",
"id": "example-2-2",
"predicted": "operations",
"text": "operations 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-email-routing-confusion"
},
"sku": "assistant-sector-ml-email-routing-confusion",
"status": "delivered"
},
"type": "json"
}
},
"schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
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"properties": {
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{
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"text": "sales sample document number 0 for this supplied dataset."
},
{
"actual": "sales",
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"predicted": "sales",
"text": "sales sample document number 1 for this supplied dataset."
},
{
"actual": "sales",
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"predicted": "sales",
"text": "sales sample document number 2 for this supplied dataset."
},
{
"actual": "support",
"id": "example-1-0",
"predicted": "support",
"text": "support sample document number 0 for this supplied dataset."
},
{
"actual": "support",
"id": "example-1-1",
"predicted": "support",
"text": "support sample document number 1 for this supplied dataset."
},
{
"actual": "support",
"id": "example-1-2",
"predicted": "support",
"text": "support sample document number 2 for this supplied dataset."
},
{
"actual": "operations",
"id": "example-2-0",
"predicted": "operations",
"text": "operations sample document number 0 for this supplied dataset."
},
{
"actual": "operations",
"id": "example-2-1",
"predicted": "operations",
"text": "operations sample document number 1 for this supplied dataset."
},
{
"actual": "operations",
"id": "example-2-2",
"predicted": "operations",
"text": "operations 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": [
"sales",
"support",
"operations",
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"type": "string"
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"id": {
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"predicted": {
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},
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"text",
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"predicted"
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"type": "array"
}
},
"required": [
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],
"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": {
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"type": "object"
},
"type": {
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}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}
}
},
"lastUpdated": "2026-11-01T16:22:04.958Z",
"quality": {
"l30DaysTotalCalls": 3,
"l30DaysUniquePayers": 1,
"lastCalledAt": "2026-11-01T16:22:03.86Z"
},
"resource": "https://market.datapackvibe.com/x402/assistant-sector-ml-email-routing-confusion",
"serviceName": "Email routing - Confusion matrix",
"tags": [
"ai",
"sector-ml",
"workflow"
],
"type": "http",
"x402Version": 2
},
"source": "x402_bazaar",
"summary": "Email routing - Confusion matrix: Confusion matrix for Email routing. 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 confusion matrix deliverable."
}What the leaf hashes
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Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (302406 rows).
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- 0x5adb4fc707f466a583bb89f3d0c4cf8891b1bff68dd4fc73a50d69b55c6cc2b0
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- 0x980430e37a83e51e7e55ead40d774a1f7033906375a3d313ea6e32cecc6b664f
- 0x33ecaa75fd7de551a782adeb775e0376a5a74d524af25568dbc9061ec39acff4
- 0xb36ece8d7e5a1f81fbdd7dc72c77540f7072934b2602b5f6e623c7f8f17c5f0b
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- 0xf6217f3e2344dd9bf8c6e296c4729fbf7611d258b93c45e1bbe5f62e65e8e714
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- 0x3315fd2757fdd435852cc277377234a3f3909a6d2a089d0e36f6d59aacfda910
- Day root
- 0x7fa2cba1cf3d6b35630896f5fe1a650adb307ea2c376e80a5f2d9276b7cb5ab3
- Chained
- 0x577ff89ba012beeff3197bcff7fa86752074bdf54205a24359cc437be2a952a4
- Published
- On Arc Testnet, block 70262758: 0x435bc1b9331471d72e1998f2e420983b5189d4da65ffbd6f27ef40daf5e1ea90