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
- 80% / 80% / 80%
- Calls, trailing 30 days
- 1
- Unique payers, trailing 30 days
- 1
- Last called
- 2026-10-03 23:25 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 first observed it on 2026-10-04.
assistant sector ml return reason calibration, a POST endpoint on market.datapackvibe.com, appears in the Coinbase registry; TOLL's taxonomy puts it in inference.
On Base, assistant sector ml return reason calibration asks 0.01 USDC per call.
Requests carry a json body with the field records.
assistant sector ml return reason calibration answered the sweep of 2026-10-07 with a valid 402, passing 4 of 5 sweeps since 2026-10-04.
A response from assistant sector ml return reason calibration, as declared, includes sku, files, result, status and order_id.
assistant sector ml return reason calibration shares market.datapackvibe.com with 13,654 other listed endpoints and is tied 5041st by calls with 8,613 others.
assistant sector ml return reason calibration drew a single call from a single payer in the trailing 30 days.
The last call to assistant sector ml return reason calibration came 4 days before the snapshot, 2026-10-03.
Closest in price to assistant sector ml return reason calibration within inference: council at council.cyberwarex.com and ai news at api.losbeto.xyz.
assistant sector ml return reason calibration is among the cheapest in inference; 9% of comparable listings ask less.
The wallet paid by assistant sector ml return reason calibration is the payee of 13,814 endpoints on one host.
Seller tags: ai, sector-ml and workflow.
The price of assistant sector ml return reason calibration 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 06:35 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 06:35 UTC | pass | 0 | daily-2026-10-07 |
| 2026-10-06 07:25 UTC | pass | 0 | daily-2026-10-06 |
| 2026-10-05 06:55 UTC | fail | 1 | daily-2026-10-05 |
| 2026-10-04 09:41 UTC | pass | 0 | daily-2026-10-04 |
| 2026-10-04 07:28 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 23:25 UTC · method · live
The input and output block
{
"input": {
"body": {
"records": [
{
"id": "example-0-0",
"text": "damaged sample document number 0 for this supplied dataset.",
"actual": "damaged",
"predicted": "damaged",
"probabilities": [
0.8,
0.06666666666666667,
0.06666666666666667,
0.06666666666666667
]
},
{
"id": "example-0-1",
"text": "damaged sample document number 1 for this supplied dataset.",
"actual": "damaged",
"predicted": "damaged",
"probabilities": [
0.8,
0.06666666666666667,
0.06666666666666667,
0.06666666666666667
]
},
{
"id": "example-0-2",
"text": "damaged sample document number 2 for this supplied dataset.",
"actual": "damaged",
"predicted": "damaged",
"probabilities": [
0.8,
0.06666666666666667,
0.06666666666666667,
0.06666666666666667
]
},
{
"id": "example-1-0",
"text": "wrong_item sample document number 0 for this supplied dataset.",
"actual": "wrong_item",
"predicted": "wrong_item",
"probabilities": [
0.06666666666666667,
0.8,
0.06666666666666667,
0.06666666666666667
]
},
{
"id": "example-1-1",
"text": "wrong_item sample document number 1 for this supplied dataset.",
"actual": "wrong_item",
"predicted": "wrong_item",
"probabilities": [
0.06666666666666667,
0.8,
0.06666666666666667,
0.06666666666666667
]
},
{
"id": "example-1-2",
"text": "wrong_item sample document number 2 for this supplied dataset.",
"actual": "wrong_item",
"predicted": "wrong_item",
"probabilities": [
0.06666666666666667,
0.8,
0.06666666666666667,
0.06666666666666667
]
},
{
"id": "example-2-0",
"text": "unwanted sample document number 0 for this supplied dataset.",
"actual": "unwanted",
"predicted": "unwanted",
"probabilities": [
0.06666666666666667,
0.06666666666666667,
0.8,
0.06666666666666667
]
},
{
"id": "example-2-1",
"text": "unwanted sample document number 1 for this supplied dataset.",
"actual": "unwanted",
"predicted": "unwanted",
"probabilities": [
0.06666666666666667,
0.06666666666666667,
0.8,
0.06666666666666667
]
},
{
"id": "example-2-2",
"text": "unwanted sample document number 2 for this supplied dataset.",
"actual": "unwanted",
"predicted": "unwanted",
"probabilities": [
0.06666666666666667,
0.06666666666666667,
0.8,
0.06666666666666667
]
},
{
"id": "example-3-0",
"text": "other sample document number 0 for this supplied dataset.",
"actual": "other",
"predicted": "other",
"probabilities": [
0.06666666666666667,
0.06666666666666667,
0.06666666666666667,
0.8
]
},
{
"id": "example-3-1",
"text": "other sample document number 1 for this supplied dataset.",
"actual": "other",
"predicted": "other",
"probabilities": [
0.06666666666666667,
0.06666666666666667,
0.06666666666666667,
0.8
]
},
{
"id": "example-3-2",
"text": "other sample document number 2 for this supplied dataset.",
"actual": "other",
"predicted": "other",
"probabilities": [
0.06666666666666667,
0.06666666666666667,
0.06666666666666667,
0.8
]
}
]
},
"type": "http",
"method": "POST",
"bodyType": "json"
},
"output": {
"type": "json",
"example": {
"sku": "assistant-sector-ml-return-reason-calibration",
"files": [],
"result": {
"workflow": "sector-ml-return-reason-calibration",
"completed": true
},
"status": "delivered",
"order_id": "ord_example"
}
}
}Cite this page
The pinned URL below renders this page from the snapshot of 2026-10-07 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 return reason calibration on market.datapackvibe.com", snapshot of 2026-10-07 13:20 UTC. https://tollindex.com/e/market-datapackvibe-com-x402-assistant-sector-ml-return-reason-calibration-34f59c/at/2026-10-07T13-20Z. Accessed [access date].
BibTeX
@misc{toll-e-market-datapackvibe-com-x402-assistant-sector-ml-return-reason-calibration-34f59c-2026-10-07T13-20Z,
author = {TOLL},
title = {assistant sector ml return reason calibration on market.datapackvibe.com},
howpublished = {\url{https://tollindex.com/e/market-datapackvibe-com-x402-assistant-sector-ml-return-reason-calibration-34f59c/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.