faillisted in Coinbase#2,903 by calls of 8,703 on this host
0.01 USDC
per call, as the listing declares it on eip155:
- Validation state
- fail
- Uptime, 7 / 30 / 90 days
- 63% / 63% / 63%
- 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 19 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 2026-10-10 found assistant sector ml knowledge topic calibration answering HTTP 502 instead of a payment challenge.
assistant sector ml knowledge topic calibration answers POST requests at market.datapackvibe.com; it is listed in the Coinbase registry and TOLL files it under inference.
assistant sector ml knowledge topic calibration is priced at 0.01 USDC on Base.
The request to assistant sector ml knowledge topic calibration is a json body with the field records.
assistant sector ml knowledge topic calibration returns json; the example shows sku, files, result, status and order_id.
assistant sector ml knowledge topic calibration drew a single call from a single payer in the trailing 30 days.
The last call to assistant sector ml knowledge topic calibration came 7 days before the snapshot, 2026-10-03.
Among the 8,703 endpoints on market.datapackvibe.com, assistant sector ml knowledge topic calibration is tied 2903rd by calls with 5,649 others.
Among comparable prices in inference, assistant sector ml knowledge topic calibration sits above 12% of them.
Closest in price to assistant sector ml knowledge topic calibration within inference: ai news at api.losbeto.xyz and agent analyse at api.zendiq.ai.
The wallet paid by assistant sector ml knowledge topic calibration is the payee of 15,350 endpoints on one host.
The seller's own tags are ai, sector-ml and workflow.
The price of assistant sector ml knowledge topic calibration is declared by 7,760 other listings in inference too.
the payment options, as of 2026-10-10 12:29 UTC · method · pinnable
| registry | network | asset | amount | scheme | pay to |
|---|---|---|---|---|---|
| Coinbase | eip155: | USDC | 0.01 USDC | exact | 0x8bc2AE…683C8C |
the checks, as of 2026-10-10 14:20 UTC · method · pinnableendpoint answered HTTP 502
returns_402· an unauthenticated request gets HTTP 402
Every sweep that observed this endpoint, newest first.
| observed, UTC | state | failed checks | sweep |
|---|---|---|---|
| 2026-10-10 14:20 UTC | fail | 1 | daily-2026-10-10 |
| 2026-10-09 06:44 UTC | fail | 1 | daily-2026-10-09 |
| 2026-10-08 08:11 UTC | pass | 0 | daily-2026-10-08 |
| 2026-10-07 07:27 UTC | pass | 0 | daily-2026-10-07 |
| 2026-10-06 08:15 UTC | fail | 1 | daily-2026-10-06 |
| 2026-10-05 07:35 UTC | pass | 0 | daily-2026-10-05 |
| 2026-10-04 10:12 UTC | pass | 0 | daily-2026-10-04 |
| 2026-10-04 07:35 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-calibration",
"files": [],
"result": {
"workflow": "sector-ml-knowledge-topic-calibration",
"completed": true
},
"status": "delivered",
"order_id": "ord_example"
}
}
}Cite this page
The pinned URL below renders this page from the snapshot of 2026-10-10 12:29 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 calibration on market.datapackvibe.com", snapshot of 2026-10-10 12:29 UTC. https://tollindex.com/e/market-datapackvibe-com-x402-assistant-sector-ml-knowledge-topic-calibration-4ae981/at/2026-10-10T12-29Z. Accessed [access date].
BibTeX
@misc{toll-e-market-datapackvibe-com-x402-assistant-sector-ml-knowledge-topic-calibration-4ae981-2026-10-10T12-29Z,
author = {TOLL},
title = {assistant sector ml knowledge topic calibration on market.datapackvibe.com},
howpublished = {\url{https://tollindex.com/e/market-datapackvibe-com-x402-assistant-sector-ml-knowledge-topic-calibration-4ae981/at/2026-10-10T12-29Z}},
year = {2026},
month = {10},
note = {Pinned view of the snapshot of 2026-10-10 12:29 UTC. Accessed [access date].}
}None yet. Anything submitted through the form below is published here with its outcome.