# RQM Fit Coupled Channel Model

> RQM Fit Coupled Channel Model is a paid API for AI agents from jobs.rqmtechnologies.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-15).

Fits a bounded structured quaternion ridge regression model to coupled channel features and targets, returning predictions and learned weights.

## Facts

- Endpoint: POST https://jobs.rqmtechnologies.com/x402/buyer-jobs/fit-coupled-channel-model-v1
- Price: $0.005/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/rqm-fit-coupled-channel-model-eaf31763
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_YRvye9JT1tlhEskLw7LOb

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability rqm-fit-coupled-channel-model-eaf31763 -d '<json body>'
```

Example prompt: Fit a bounded structured quaternion ridge model to my coupled channel data — I have 3 features and 2 outputs, with 50 quaternion samples per channel, using strict augmentation and a regularization of 0.001. Give me back the predictions and weights.

## When to prefer this

Choose this endpoint when you need a bounded, structured quaternion ridge regression fit over multi-channel coupled data and require predictions and weights that can directly gate or feed the next step in an automated pipeline. Prefer this over general-purpose ML services when your data is natively quaternion-valued (e.g. orientation, rotation, or complex signal data) and you need a bounded objective with regularization control. Do not use when you need hardware ground truth, causal diagnosis, unbounded streaming inference, or physical simulation.

## Known failure modes

- Feature or target array length mismatch with declared feature_count or output_count
- Array sizes exceed maximum of 512 samples
- feature_count outside range 1–16 or output_count outside range 1–4
- Invalid augmentation enum value (must be 'strict' or 'selective-j')
- Regularization parameter outside valid range (1e-12 to 1000)
- Malformed quaternion samples missing w, x, y, or z fields
- Payment failure or insufficient USDC balance for x402 protocol
- Invalid or missing idempotency_key format

## How this service works

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...

## Output

Returns model predictions (as quaternion-valued outputs per sample) and the learned ridge regression weights for the fitted coupled channel model, structured as a bounded objective result suitable for directly gating or feeding the next agent workflow step.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "request": {
   "type": "object",
   "description": "Fit Coupled Channel Model request metadata is discovery-only while execution is disabled.",
   "additionalProperties": true
  },
  "schema_version": {
   "const": "rqm.jobs.bazaar-buyer-job-request.v1"
  },
  "idempotency_key": {
   "type": "string",
   "pattern": "^[A-Za-z0-9][A-Za-z0-9._:-]*$",
   "maxLength": 128,
   "minLength": 1
  },
  "max_total_price": {
   "type": "string",
   "pattern": "^(?:0|[1-9]\\d{0,13})(?:\\.\\d{1,6})?$"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/rqm-fit-coupled-channel-model-eaf31763/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from jobs.rqmtechnologies.com](https://www.zero.xyz/host/jobs.rqmtechnologies.com/llms.txt)