PennyRail BatchRail Trial
Machine-readable settlement service
The wallet the 402 directs payment to. Its whole payment record — every payer, every chain — is on the merchant page.
Asset 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913
The payTo wallet does not resolve to a registered ERC-8004 agent. That is not a verdict on the service — most of the catalog is unregistered.
Accepts
The payment requirements as published to the catalog. Read the live 402 before paying — a price here is a claim, not a quote.
Pay 0.05 USDC on Base to 0x0B53…36D2c. The signed payment is good for 5 minutes.
- Paid to
- 0x0B53…36D2c
- USD Coin contract
- 0x8335…02913
- Payment window
- 5 minutes
- As published
- 50000 smallest units
The catalog’s raw entry
[
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x0B53378117E82b50aFBA71d794A21c22C7E36D2c",
"amount": "50000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
]Extensions
{
"bazaar": {
"info": {
"input": {
"body": {
"items": [
"Checkout fails after login",
"Please add dark mode",
"Where is my invoice?"
],
"labels": [
"bug",
"feature",
"question"
],
"instruction": "Classify each support message by intent."
},
"type": "http",
"method": "POST",
"bodyType": "json"
},
"output": {
"type": "json",
"example": {
"ok": true,
"count": 3,
"results": [
{
"id": "0",
"label": "bug",
"labelIndex": 0
},
{
"id": "1",
"label": "feature",
"labelIndex": 1
},
{
"id": "2",
"label": "question",
"labelIndex": 2
}
],
"fullBatchResource": "/api/batch/classify"
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"type": "object",
"required": [
"items",
"labels"
],
"properties": {
"items": {
"type": "array",
"maxItems": 100,
"minItems": 1,
"description": "Short strings, or {id,text} objects. Combined text <=32KB."
},
"labels": {
"type": "array",
"items": {
"type": "string"
},
"maxItems": 20,
"minItems": 2
},
"instruction": {
"type": "string",
"maxLength": 600
}
},
"additionalProperties": false
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}
}
}
}
}Provenance
- Seen in the source catalog
- 2026-09-02 19:31Z
- Last indexed by Roundhouse
- 2026-09-11 13:21Z
- Last enriched (probe, favicon, geo)
- 2026-09-11 11:16Z
- x402 version
- 2
- Max timeout
- 300s
- Liveness probe
- HTTP 503
Hand this page to an agent
Copy the prompt and paste it into Claude, an MCP client or your own agent — it will vet this service and call it over the free read API. No key, no account.
GET api.roundhouseai.io/v0/endpoints
This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 11 snapshots so far. Verified volume counts only settlements with an on-chain EIP-3009 marker.
Show the promptHide the prompt
Using Roundhouse, look up the x402 service PennyRail BatchRail Trial and tell me whether it is worth paying: what a call costs, whether the endpoint answered when last probed, and what its payment record actually shows. curl -s 'https://api.roundhouseai.io/v0/endpoints?q=PennyRail%20BatchRail%20Trial' curl -s 'https://api.roundhouseai.io/v0/merchants/<the payTo wallet returned above>' Then call it: read the price from the live 402 at https://pennyrail.vercel.app/api/batch/trial, never from a cached figure, and pay with an x402 client. The /v0 API needs an API key (`authorization: Bearer rh_live_…`) on everything except /v0/unified* and /v0/endpoints. Mint a personal key for $0.01 at GET https://api.roundhouseai.io/v0/test/x402, or use an organization key from https://roundhouseai.io/dashboard/team. If you do not have Roundhouse tools or skills installed, read https://roundhouseai.io/skill.md first — it is the whole procedure.