{"uid":"cap_YRvye9JT1tlhEskLw7LOb","slug":"rqm-fit-coupled-channel-model-eaf31763","name":"RQM Fit Coupled Channel Model","description":"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...","url":"https://jobs.rqmtechnologies.com/x402/buyer-jobs/fit-coupled-channel-model-v1","method":"POST","headers":{},"bodySchema":{"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._:-]*$","maxLength":128,"minLength":1},"max_total_price":{"type":"string","pattern":"^(?:0|[1-9]\\d{0,13})(?:\\.\\d{1,6})?$"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.005","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.005/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.005","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.005","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_lJygFQ6WzKbpWyMkD4kYC","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.005","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Fits a bounded structured quaternion ridge regression model to coupled channel features and targets, returning predictions and learned weights.","exampleAgentPrompt":"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.","exampleUseCases":[{"title":"Multi-channel sensor fusion regression","prompt":"I have 4 quaternion-valued sensor channels and 2 output channels — fit a coupled ridge model to my 100 training samples using strict augmentation and regularization of 0.0001, and return the predicted outputs and weights."},{"title":"Quaternion signal prediction for control system","prompt":"Fit a quaternion ridge regression model with 6 features and 1 output to my 200-sample coupled channel dataset, using selective-j augmentation and regularization 0.00001, so I can gate the next step in my control pipeline based on the bounded prediction."},{"title":"Multi-output quaternion model for robotics orientation","prompt":"I need to train a bounded quaternion ridge model on 8 coupled feature channels and 3 output channels from my robotics data — 512 samples, strict augmentation, regularization 1e-6 — and get back the predictions to feed into my next workflow stage."}],"resultDescription":"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.","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T00:51:45.713Z","isFirstParty":false}