passlisted in Coinbase#5,041 by calls of 13,655 on this host
0.01 USDC
per call, as the listing declares it on eip155:
- Validation state
- pass
- Uptime, 7 / 30 / 90 days
- 100% / 100% / 100%
- Calls, trailing 30 days
- 1
- Unique payers, trailing 30 days
- 1
- Last called
- 2026-10-03 23:36 UTC
- First observed by TOLLderived
- 2026-10-04
- Pricederived
- 0.01 USDC
- Networks
- 1
How big is this endpoint among the ones like it?
No trace is drawn of this endpoint’s own volume. Its counters have changed 1 time across 10 observations, and 3 changes are the fewest this site will draw a trace through, because two points and a guess are not a series. Every observation is in the JSON.
TOLL's first observation of assistant sector ml training question log loss was 2026-10-04.
market.datapackvibe.com serves assistant sector ml training question log loss, a POST endpoint that TOLL places in inference, listed in the Coinbase registry.
A call to assistant sector ml training question log loss costs 0.01 USDC on Base, as declared.
The request to assistant sector ml training question log loss is a json body with the field records.
The daily sweep got a valid payment challenge from assistant sector ml training question log loss on 2026-10-07, as at every sweep since 2026-10-04.
The declared response carries sku, files, result, status and order_id.
assistant sector ml training question log loss shares market.datapackvibe.com with 13,654 other listed endpoints and is tied 5041st by calls with 8,613 others.
assistant sector ml training question log loss drew a single call from a single payer in the trailing 30 days.
The last call to assistant sector ml training question log loss came 4 days before the snapshot, 2026-10-03.
assistant sector ml training question log loss sits nearest in price to ai news (api.losbeto.xyz) and agent analyse (api.zendiq.ai) among listings in inference.
assistant sector ml training question log loss is among the cheapest in inference; 9% of comparable listings ask less.
The wallet paid by assistant sector ml training question log loss is the payee of 13,814 endpoints on one host.
The seller's tags on assistant sector ml training question log loss are ai, sector-ml and workflow.
Exactly this price appears on 10,580 other listings in inference.
the payment options, as of 2026-10-07 13:20 UTC · method · pinnable
| registry | network | asset | amount | scheme | pay to |
|---|---|---|---|---|---|
| Coinbase | eip155: | USDC | 0.01 USDC | exact | 0x8bc2AE…683C8C |
the checks, as of 2026-10-07 08:40 UTC · method · pinnableendpoint answered HTTP 402
No named check failed.
Every sweep that observed this endpoint, newest first.
| observed, UTC | state | failed checks | sweep |
|---|---|---|---|
| 2026-10-07 08:40 UTC | pass | 0 | daily-2026-10-07 |
| 2026-10-06 09:33 UTC | pass | 0 | daily-2026-10-06 |
| 2026-10-05 08:34 UTC | pass | 0 | daily-2026-10-05 |
| 2026-10-04 10:57 UTC | pass | 0 | daily-2026-10-04 |
| 2026-10-04 07:42 UTC | pass | 0 | new-after-daily-2026-10-04 |
Presence in a registry, not liveness of the service (method). Newest first.
- listed in Coinbase
From the registry record, not validated by TOLL.the declared schema, as of 2026-10-03 23:36 UTC · method · live
The input and output block
{
"input": {
"body": {
"records": [
{
"id": "example-0-0",
"text": "concept sample document number 0 for this supplied dataset.",
"actual": "concept",
"predicted": "concept",
"probabilities": [
0.8,
0.06666666666666667,
0.06666666666666667,
0.06666666666666667
]
},
{
"id": "example-0-1",
"text": "concept sample document number 1 for this supplied dataset.",
"actual": "concept",
"predicted": "concept",
"probabilities": [
0.8,
0.06666666666666667,
0.06666666666666667,
0.06666666666666667
]
},
{
"id": "example-0-2",
"text": "concept sample document number 2 for this supplied dataset.",
"actual": "concept",
"predicted": "concept",
"probabilities": [
0.8,
0.06666666666666667,
0.06666666666666667,
0.06666666666666667
]
},
{
"id": "example-1-0",
"text": "procedure sample document number 0 for this supplied dataset.",
"actual": "procedure",
"predicted": "procedure",
"probabilities": [
0.06666666666666667,
0.8,
0.06666666666666667,
0.06666666666666667
]
},
{
"id": "example-1-1",
"text": "procedure sample document number 1 for this supplied dataset.",
"actual": "procedure",
"predicted": "procedure",
"probabilities": [
0.06666666666666667,
0.8,
0.06666666666666667,
0.06666666666666667
]
},
{
"id": "example-1-2",
"text": "procedure sample document number 2 for this supplied dataset.",
"actual": "procedure",
"predicted": "procedure",
"probabilities": [
0.06666666666666667,
0.8,
0.06666666666666667,
0.06666666666666667
]
},
{
"id": "example-2-0",
"text": "example sample document number 0 for this supplied dataset.",
"actual": "example",
"predicted": "example",
"probabilities": [
0.06666666666666667,
0.06666666666666667,
0.8,
0.06666666666666667
]
},
{
"id": "example-2-1",
"text": "example sample document number 1 for this supplied dataset.",
"actual": "example",
"predicted": "example",
"probabilities": [
0.06666666666666667,
0.06666666666666667,
0.8,
0.06666666666666667
]
},
{
"id": "example-2-2",
"text": "example sample document number 2 for this supplied dataset.",
"actual": "example",
"predicted": "example",
"probabilities": [
0.06666666666666667,
0.06666666666666667,
0.8,
0.06666666666666667
]
},
{
"id": "example-3-0",
"text": "assessment sample document number 0 for this supplied dataset.",
"actual": "assessment",
"predicted": "assessment",
"probabilities": [
0.06666666666666667,
0.06666666666666667,
0.06666666666666667,
0.8
]
},
{
"id": "example-3-1",
"text": "assessment sample document number 1 for this supplied dataset.",
"actual": "assessment",
"predicted": "assessment",
"probabilities": [
0.06666666666666667,
0.06666666666666667,
0.06666666666666667,
0.8
]
},
{
"id": "example-3-2",
"text": "assessment sample document number 2 for this supplied dataset.",
"actual": "assessment",
"predicted": "assessment",
"probabilities": [
0.06666666666666667,
0.06666666666666667,
0.06666666666666667,
0.8
]
}
]
},
"type": "http",
"method": "POST",
"bodyType": "json"
},
"output": {
"type": "json",
"example": {
"sku": "assistant-sector-ml-training-question-log-loss",
"files": [],
"result": {
"workflow": "sector-ml-training-question-log-loss",
"completed": true
},
"status": "delivered",
"order_id": "ord_example"
}
}
}Cite this page
The pinned URL below renders this page from the snapshot of 2026-10-07 13:20 UTC and does not change; the live page does, every six hours. Data reuse is under CC BY 4.0 (terms).
Plain text
TOLL, "assistant sector ml training question log loss on market.datapackvibe.com", snapshot of 2026-10-07 13:20 UTC. https://tollindex.com/e/market-datapackvibe-com-x402-assistant-sector-ml-training-question-log-loss-6a885f/at/2026-10-07T13-20Z. Accessed [access date].
BibTeX
@misc{toll-e-market-datapackvibe-com-x402-assistant-sector-ml-training-question-log-loss-6a885f-2026-10-07T13-20Z,
author = {TOLL},
title = {assistant sector ml training question log loss on market.datapackvibe.com},
howpublished = {\url{https://tollindex.com/e/market-datapackvibe-com-x402-assistant-sector-ml-training-question-log-loss-6a885f/at/2026-10-07T13-20Z}},
year = {2026},
month = {10},
note = {Pinned view of the snapshot of 2026-10-07 13:20 UTC. Accessed [access date].}
}None yet. Anything submitted through the form below is published here with its outcome.