RQM WaveEngine Jobs

Validate a bounded request against the live catalog and return a non-binding price and duration estimate without authentication.

Return one full approved public Wave capability descriptor.

Return one realistic illustrative request/result shape, artifact list, expected duration, and price guard.

Retrieve one principal-scoped bounded Wave result artifact.

Read one completed and already-settled product result.

Read one authorized Wave or Studio managed-simulator job.

Retrieve the durable Account Core receipt for one settled WaveEngine reservation.

Return complete agent discovery contracts and readiness for the exact 20/20/20 RQM specialist work portfolio.

Describe the preserved v0/v1 surface or the dynamic v2/v3 Wave catalog.

Quote, settle, and submit one allowlisted WaveEngine, Studio, or Robotics buyer job using x402.

Execute the catalog-owned bounded example through the real typed WaveEngine adapter without accepting arbitrary input.

Pay anonymously with x402 by default, or explicitly use an authenticated Account Core balance, then submit one idempotent WaveEngine job.

Select RQM buyer jobs from work-language requests using deterministic semantic scoring over instructions, examples, outputs, and next steps.

Deterministically rank executable WaveEngine capabilities for a natural-language task and bounded filters.

Problem: Apply this bounded phase correction and verify the supplied preservation assertions. Input: JSON with sample rate hz, channels, angle radians, assertions. Result: corrected capture and preservation checks. Limits: Bounded signal processing only; 2 channels; 1024 samples/channel.

Problem: Compare these two supported Wave pipelines on the supplied fixture and caller tolerances. Input: JSON with left pipeline, right pipeline, fixture, maximum rmse, maximum absolute.... Result: response differences and tolerance checks. Limits: Bounded signal processing only; 8 channels; 4096 samples/channel.

Problem: Compare these two bounded waveforms against the supplied alignment and numeric rules. Input: JSON with sample rate hz, channels, reference channel id, candidate channel id, rules. Result: waveform differences and caller-rule results. Limits: Bounded signal processing only; 2 channels; 1024 samples/channel.

Problem: Compile this curated processing recipe and return its validated pipeline and execution trace. Input: JSON with fixture, maximum round trip rmse. Result: validated pipeline and execution trace. Limits: Bounded signal processing only; 8 channels; 4096 samples/channel.

Problem: Convert this bounded complex capture into a checksummed spectral artifact with declared normalization. Input: JSON with sample rate hz, channel, normalization. Result: spectrum with normalization and checksums. Limits: Bounded signal processing only; 8 channels; 4096 samples/channel.

Problem: Diagnose this coordinated complex capture for bounded Wave-Intelligence degradation findings without inferring a physical cause. Input: JSON with sample rate hz, channels. Result: bounded capture findings and artifacts. Limits: Bounded signal processing only; 8 channels; 1024 samples/channel.

Problem: Fit a bounded quaternion NLMS equalizer to this received and desired pilot capture. Input: JSON with input channels, output channels, received, desired, pilot mask. Result: fitted equalizer and pilot-fit evidence. Limits: Bounded signal processing only; 4 channels; 1024 samples/channel.

Problem: Convert this coordinated complex capture into the deterministic versioned Wave-Intelligence feature vector. Input: JSON with sample rate hz, channels. Result: versioned feature vector and artifacts. Limits: Bounded signal processing only; 8 channels; 1024 samples/channel.

Problem: Fit a bounded structured quaternion ridge model to these coupled channel features and targets. Input: JSON with feature count, output count, features, targets. Result: fitted channel model and fit evidence. Limits: Bounded signal processing only; 16 channels; 512 samples/channel.

Problem: Accept or reject this bounded signal capture against the caller-supplied metric rules and return every measurement and violation. Input: JSON with sample rate hz, channels, rules. Result: measurements, violations and checksummed artifacts. Limits: Bounded signal processing only; 8 channels; 1024 samples/channel.

Problem: Generate this bounded sine or safe-formula signal fixture and return reproducibility, measurement, checksum, and validation evidence. Input: JSON with fixture. Result: signal fixture, checksums and validation evidence. Limits: Bounded signal processing only; 8 channels; 16384 samples/channel.

Problem: Measure phase drift in this bounded complex observation against the supplied reference and tolerances. Input: JSON with reference, observation, maximum absolute drift radians, maximum rms.... Result: phase drift measurements and tolerance checks. Limits: Bounded signal processing only; 8 channels; 4096 samples/channel.

Problem: Optimize this supported Wave pipeline against the supplied operation-count objective and equivalence rule. Input: JSON with operations, fixture, objective, maximum operations, maximum equivalence.... Result: candidate pipeline and equivalence checks. Limits: Bounded signal processing only; 8 channels; 4096 samples/channel.

Problem: Reconstruct this bounded capture under the supplied transfer assumption and verify it against the reference rules. Input: JSON with observation, reference, assumed transfer, maximum rmse, maximum.... Result: reconstructed capture and reference-rule checks. Limits: Bounded signal processing only; 8 channels; 4096 samples/channel.

Problem: Convert these bounded frequency bins into time-domain samples and verify the caller's round-trip rule. Input: JSON with sample rate hz, frequency bins, normalization, rules. Result: time-domain samples and round-trip verification. Limits: Bounded signal processing only; 8 channels; 4096 samples/channel.

Problem: Rotate these two coordinated complex channels with the supplied rotor and validate caller invariants. Input: JSON with channels, rotor, rules. Result: rotated channels and invariant checks. Limits: Bounded signal processing only; 8 channels; 4096 samples/channel.

Problem: Transform these Jones vectors or channel operators between the explicitly named SU(2) frames and verify invariants. Input: JSON with mode, rotor. Result: transformed vectors/operators and invariant checks. Limits: Bounded signal processing only; 4 channels; 1024 samples/channel.

Problem: Compare this reconstruction with the supplied reference and acceptance rules. Input: JSON with reference, reconstruction, rules. Result: reconstruction differences and rule results. Limits: Bounded signal processing only; 8 channels; 4096 samples/channel.

Problem: Accept or reject this bounded capture against the caller's supplied spectral criteria. Input: JSON with sample rate hz, channel, normalization, rules. Result: spectral metrics and caller-rule verdict. Limits: Bounded signal processing only; 8 channels; 4096 samples/channel.

Problem: Execute and verify this bounded Wave IR pipeline against the required representation, shape, and optional round-trip assertions. Input: JSON with sample rate hz, channels, operators, assertions. Result: execution result and shape/round-trip checks. Limits: Bounded signal processing only; 2 channels; 1024 samples/channel.