RQM Fit Coupled Channel Model
Fit Coupled Channel Model: Fit the bounded structured quaternion ridge model and return predictions and weights. Use when: The caller needs a bounded objective result that can directly gate or feed its next step. Returns: strict JSON summary, checksummed artifact manifest. Boundaries: Bounded deterministic reference processing only; no causal, hardware, operational, performance, classifie...
InferenceLiveeip155:8453Exactvia cdp
WaveWaveengineAnalyzeBuyer-job
Calls · 30d
2→ 0%
This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 10 snapshots so far.
$24.13
Verified settled volume
484 settlements proven x402 by their on-chain EIP-3009 marker.
$0.0050
Listed price
As published in the catalog. Always read the live 402 before paying.
2
Calls · 30d
Upstream's own call count for this endpoint, not ours.
1
Unique payers · 30d
Last called 2026-08-27 23:47Z
—
Upstream on-chain volume
Reported by the source catalog.
Paid to
0x8F43274b121663b18a0246E9908bac8eAC866C12The wallet the 402 directs payment to. Its whole payment record — every payer, every chain — is on the merchant page.
Asset 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913
Provider
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.
0.005USDC≈ $0.005 USD
on Base · exact scheme
Pay 0.005 USDC on Base to 0x8F43…66C12. The signed payment is good for 5 minutes.
- Paid to
- 0x8F43…66C12
- USD Coin contract
- 0x8335…02913
- Payment window
- 5 minutes
- As published
- 5000 smallest units
The catalog’s raw entry
[
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
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"payTo": "0x8F43274b121663b18a0246E9908bac8eAC866C12",
"amount": "5000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
]Extensions
{
"bazaar": {
"info": {
"input": {
"body": {
"request": {
"targets": [
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{
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"y": 0,
"z": 0
}
],
[
{
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]
],
"features": [
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{
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"y": 0,
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}
],
[
{
"w": 1,
"x": 0,
"y": 0,
"z": 0
}
]
],
"output_count": 1,
"feature_count": 1
},
"schema_version": "rqm.jobs.bazaar-buyer-job-request.v1",
"idempotency_key": "example-fit-coupled-channel-model-v1",
"max_total_price": "0.005000"
},
"type": "http",
"method": "POST",
"bodyType": "json"
},
"output": {
"type": "json",
"example": {
"job_id": "job-fit-coupled-channel-model-v1",
"status": "queued",
"product": "wave",
"quote_id": "00000000-0000-4000-8000-000000000001",
"duplicate": false,
"capability_id": "fit-coupled-channel-model-v1",
"retrieval_url": "https://jobs.rqmtechnologies.com/x402/buyer-jobs/fit-coupled-channel-model-v1/jobs/job-fit-coupled-channel-model-v1",
"artifact_names": [
"strict JSON summary",
"checksummed artifact manifest"
],
"reservation_id": "00000000-0000-4000-8000-000000000002",
"schema_version": "rqm.jobs.bazaar-buyer-job-accepted.v1",
"retrieval_token": "rqm_retrieval_<opaque-job-scoped-token>",
"caller_next_step": "Use the verdict, metrics, model artifact, transformed values, or fixture manifest directly in the caller's following automated decision.",
"result_schema_id": "rqm.wave.fit-coupled-channel-model-result.v1",
"x402_settlement_id": "00000000-0000-4000-8000-000000000003",
"x402_transaction_id": "0x<base-transaction>",
"result_schema_digest": "b2b2ed7b1746d116877ed427ae077124b290eaa5145266d0b1f3b1767eab4d1f",
"retrieval_token_expires_in": 86400
}
}
},
"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": [
"schema_version",
"idempotency_key",
"max_total_price",
"request"
],
"properties": {
"request": {
"type": "object",
"title": "FitCoupledChannelModelRequest",
"required": [
"feature_count",
"output_count",
"features",
"targets"
],
"properties": {
"targets": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": "object",
"title": "QuaternionSampleRequest",
"required": [
"w",
"x",
"y",
"z"
],
"properties": {
"w": {
"type": "number",
"title": "W"
},
"x": {
"type": "number",
"title": "X"
},
"y": {
"type": "number",
"title": "Y"
},
"z": {
"type": "number",
"title": "Z"
}
},
"additionalProperties": false
}
},
"title": "Targets",
"maxItems": 512,
"minItems": 1
},
"features": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": "object",
"title": "QuaternionSampleRequest",
"required": [
"w",
"x",
"y",
"z"
],
"properties": {
"w": {
"type": "number",
"title": "W"
},
"x": {
"type": "number",
"title": "X"
},
"y": {
"type": "number",
"title": "Y"
},
"z": {
"type": "number",
"title": "Z"
}
},
"additionalProperties": false
}
},
"title": "Features",
"maxItems": 512,
"minItems": 1
},
"augmentation": {
"enum": [
"strict",
"selective-j"
],
"type": "string",
"title": "Augmentation",
"default": "strict"
},
"output_count": {
"type": "integer",
"title": "Output Count",
"maximum": 4,
"minimum": 1
},
"feature_count": {
"type": "integer",
"title": "Feature Count",
"maximum": 16,
"minimum": 1
},
"regularization": {
"type": "number",
"title": "Regularization",
"default": 0.000001,
"maximum": 1000,
"minimum": 1e-12
},
"holdout_targets": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": "object",
"title": "QuaternionSampleRequest",
"required": [
"w",
"x",
"y",
"z"
],
"properties": {
"w": {
"type": "number",
"title": "W"
},
"x": {
"type": "number",
"title": "X"
},
"y": {
"type": "number",
"title": "Y"
},
"z": {
"type": "number",
"title": "Z"
}
},
"additionalProperties": false
}
},
"title": "Holdout Targets",
"maxItems": 512
},
"holdout_features": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": "object",
"title": "QuaternionSampleRequest",
"required": [
"w",
"x",
"y",
"z"
],
"properties": {
"w": {
"type": "number",
"title": "W"
},
"x": {
"type": "number",
"title": "X"
},
"y": {
"type": "number",
"title": "Y"
},
"z": {
"type": "number",
"title": "Z"
}
},
"additionalProperties": false
}
},
"title": "Holdout Features",
"maxItems": 512
},
"maximum_holdout_mse": {
"type": "number",
"title": "Maximum Holdout Mse",
"default": 1000000000000,
"maximum": 1000000000000,
"minimum": 0
},
"maximum_training_mse": {
"type": "number",
"title": "Maximum Training Mse",
"default": 1000000000000,
"maximum": 1000000000000,
"minimum": 0
},
"maximum_condition_number": {
"type": "number",
"title": "Maximum Condition Number",
"default": 1000000000000,
"maximum": 10000000000000000,
"minimum": 1
}
},
"additionalProperties": false
},
"schema_version": {
"const": "rqm.jobs.bazaar-buyer-job-request.v1"
},
"idempotency_key": {
"type": "string",
"pattern": "^[A-Za-z0-9][A-Za-z0-9._:-]*$",
"maxLength": 128,
"minLength": 1
},
"max_total_price": {
"type": "string",
"pattern": "^(?:0|[1-9]\\d{0,13})(?:\\.\\d{1,6})?$"
}
},
"additionalProperties": false
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json"
],
"type": "string"
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object",
"required": [
"schema_version",
"product",
"capability_id",
"job_id",
"status",
"quote_id",
"reservation_id",
"x402_settlement_id",
"x402_transaction_id",
"retrieval_url",
"retrieval_token",
"retrieval_token_expires_in",
"result_schema_id",
"result_schema_digest",
"caller_next_step",
"duplicate"
],
"properties": {
"job_id": {
"type": "string"
},
"status": {
"enum": [
"queued",
"running",
"completed"
]
},
"product": {
"enum": [
"wave",
"quantum",
"robotics"
]
},
"quote_id": {
"type": "string",
"format": "uuid"
},
"duplicate": {
"type": "boolean"
},
"capability_id": {
"type": "string"
},
"retrieval_url": {
"type": "string",
"format": "uri"
},
"artifact_names": {
"type": "array",
"items": {
"type": "string"
}
},
"reservation_id": {
"type": "string",
"format": "uuid"
},
"schema_version": {
"const": "rqm.jobs.bazaar-buyer-job-accepted.v1"
},
"retrieval_token": {
"type": "string",
"pattern": "^rqm_retrieval_"
},
"caller_next_step": {
"type": "string"
},
"result_schema_id": {
"type": "string"
},
"x402_settlement_id": {
"type": "string",
"format": "uuid"
},
"x402_transaction_id": {
"type": "string"
},
"result_schema_digest": {
"type": "string",
"pattern": "^[a-f0-9]{64}$"
},
"retrieval_token_expires_in": {
"type": "integer",
"minimum": 1
}
},
"additionalProperties": false
}
}
}
}
}
}
}Provenance
- Seen in the source catalog
- 2026-08-27 23:47Z
- Last indexed by Roundhouse
- 2026-09-04 19:00Z
- Last enriched (probe, favicon, geo)
- 2026-09-23 20:45Z
- x402 version
- 2
- Max timeout
- 300s
- Liveness probe
- HTTP 405
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. 10 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 RQM Fit Coupled Channel Model 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=RQM%20Fit%20Coupled%20Channel%20Model' 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://jobs.rqmtechnologies.com/x402/buyer-jobs/fit-coupled-channel-model-v1, 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.