faillisted 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
- fail
- Uptime, 7 / 30 / 90 days
- 40% / 40% / 40%
- Calls, trailing 30 days
- 1
- Unique payers, trailing 30 days
- 1
- Last called
- 2026-10-03 23:13 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.
The sweep of 2026-10-07 found assistant sector ml knowledge topic brier unreachable.
At market.datapackvibe.com, assistant sector ml knowledge topic brier takes POST requests, is listed in the Coinbase registry, and falls under inference by TOLL's rules.
On Base, assistant sector ml knowledge topic brier asks 0.01 USDC per call.
Callers of assistant sector ml knowledge topic brier supply a json body with the field records.
The declared response carries sku, files, result, status and order_id.
assistant sector ml knowledge topic brier drew a single call from a single payer in the trailing 30 days.
The last call to assistant sector ml knowledge topic brier came 4 days before the snapshot, 2026-10-03.
Of market.datapackvibe.com's 13,655 listings, assistant sector ml knowledge topic brier ranks tied 5041st by calls with 8,613 others.
Few comparable listings in inference ask less: 9%.
assistant sector ml knowledge topic brier sits nearest in price to ai news (api.losbeto.xyz) and agent analyse (api.zendiq.ai) among listings in inference.
The wallet paid by assistant sector ml knowledge topic brier is the payee of 13,814 endpoints on one host.
The seller's tags on assistant sector ml knowledge topic brier are ai, sector-ml and workflow.
TOLL first observed it on 2026-10-04.
The price of assistant sector ml knowledge topic brier is declared by 10,580 other listings in inference too.
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 12:56 UTC · method · pinnableendpoint answered HTTP none
endpoint_reachable· the endpoint answered at all
Every sweep that observed this endpoint, newest first.
| observed, UTC | state | failed checks | sweep |
|---|---|---|---|
| 2026-10-07 12:56 UTC | fail | 1 | daily-2026-10-07 |
| 2026-10-06 13:37 UTC | fail | 1 | daily-2026-10-06 |
| 2026-10-05 11:55 UTC | fail | 1 | daily-2026-10-05 |
| 2026-10-04 14:32 UTC | pass | 0 | daily-2026-10-04 |
| 2026-10-04 08:12 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 23:13 UTC · method · live
The input and output block
{
"input": {
"body": {
"records": [
{
"id": "example-0-0",
"text": "setup sample document number 0 for this supplied dataset.",
"actual": "setup",
"predicted": "setup",
"probabilities": [
0.8,
0.06666666666666667,
0.06666666666666667,
0.06666666666666667
]
},
{
"id": "example-0-1",
"text": "setup sample document number 1 for this supplied dataset.",
"actual": "setup",
"predicted": "setup",
"probabilities": [
0.8,
0.06666666666666667,
0.06666666666666667,
0.06666666666666667
]
},
{
"id": "example-0-2",
"text": "setup sample document number 2 for this supplied dataset.",
"actual": "setup",
"predicted": "setup",
"probabilities": [
0.8,
0.06666666666666667,
0.06666666666666667,
0.06666666666666667
]
},
{
"id": "example-1-0",
"text": "usage sample document number 0 for this supplied dataset.",
"actual": "usage",
"predicted": "usage",
"probabilities": [
0.06666666666666667,
0.8,
0.06666666666666667,
0.06666666666666667
]
},
{
"id": "example-1-1",
"text": "usage sample document number 1 for this supplied dataset.",
"actual": "usage",
"predicted": "usage",
"probabilities": [
0.06666666666666667,
0.8,
0.06666666666666667,
0.06666666666666667
]
},
{
"id": "example-1-2",
"text": "usage sample document number 2 for this supplied dataset.",
"actual": "usage",
"predicted": "usage",
"probabilities": [
0.06666666666666667,
0.8,
0.06666666666666667,
0.06666666666666667
]
},
{
"id": "example-2-0",
"text": "troubleshooting sample document number 0 for this supplied dataset.",
"actual": "troubleshooting",
"predicted": "troubleshooting",
"probabilities": [
0.06666666666666667,
0.06666666666666667,
0.8,
0.06666666666666667
]
},
{
"id": "example-2-1",
"text": "troubleshooting sample document number 1 for this supplied dataset.",
"actual": "troubleshooting",
"predicted": "troubleshooting",
"probabilities": [
0.06666666666666667,
0.06666666666666667,
0.8,
0.06666666666666667
]
},
{
"id": "example-2-2",
"text": "troubleshooting sample document number 2 for this supplied dataset.",
"actual": "troubleshooting",
"predicted": "troubleshooting",
"probabilities": [
0.06666666666666667,
0.06666666666666667,
0.8,
0.06666666666666667
]
},
{
"id": "example-3-0",
"text": "reference sample document number 0 for this supplied dataset.",
"actual": "reference",
"predicted": "reference",
"probabilities": [
0.06666666666666667,
0.06666666666666667,
0.06666666666666667,
0.8
]
},
{
"id": "example-3-1",
"text": "reference sample document number 1 for this supplied dataset.",
"actual": "reference",
"predicted": "reference",
"probabilities": [
0.06666666666666667,
0.06666666666666667,
0.06666666666666667,
0.8
]
},
{
"id": "example-3-2",
"text": "reference sample document number 2 for this supplied dataset.",
"actual": "reference",
"predicted": "reference",
"probabilities": [
0.06666666666666667,
0.06666666666666667,
0.06666666666666667,
0.8
]
}
]
},
"type": "http",
"method": "POST",
"bodyType": "json"
},
"output": {
"type": "json",
"example": {
"sku": "assistant-sector-ml-knowledge-topic-brier",
"files": [],
"result": {
"workflow": "sector-ml-knowledge-topic-brier",
"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 knowledge topic brier on market.datapackvibe.com", snapshot of 2026-10-07 13:20 UTC. https://tollindex.com/e/market-datapackvibe-com-x402-assistant-sector-ml-knowledge-topic-brier-da4353/at/2026-10-07T13-20Z. Accessed [access date].
BibTeX
@misc{toll-e-market-datapackvibe-com-x402-assistant-sector-ml-knowledge-topic-brier-da4353-2026-10-07T13-20Z,
author = {TOLL},
title = {assistant sector ml knowledge topic brier on market.datapackvibe.com},
howpublished = {\url{https://tollindex.com/e/market-datapackvibe-com-x402-assistant-sector-ml-knowledge-topic-brier-da4353/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.