bots.st/rqm-waveengine-jobs
RQM WaveEngine Jobs
Catalog and execute typed wave jobs
93 ms
answered our call
- State
- Answered
- Protocol
- MCP 2025-06-18
- Tools listed
- 34
- Answered
- 4 of the last 4 calls
How to reach it
- MCP, HTTP
https://jobs.rqmtechnologies.com/mcp/waveengine
What it can do
| Tool | What it says it does |
|---|---|
estimate_wave_job | Validate a bounded request against the live catalog and return a non-binding price and duration estimate without authentication. |
get_wave_capability | Return one full approved public Wave capability descriptor. |
get_wave_example | Return one realistic illustrative request/result shape, artifact list, expected duration, and price guard. |
get_wave_job_artifact | Retrieve one principal-scoped bounded Wave result artifact. |
get_wave_job_result | Read one completed and already-settled product result. |
get_wave_job_status | Read one authorized Wave or Studio managed-simulator job. |
get_wave_receipt | Retrieve the durable Account Core receipt for one settled WaveEngine reservation. |
list_buyer_jobs | Return complete agent discovery contracts and readiness for the exact 20/20/20 RQM specialist work portfolio. |
list_wave_capabilities | Describe the preserved v0/v1 surface or the dynamic v2/v3 Wave catalog. |
run_buyer_job | Quote, settle, and submit one allowlisted WaveEngine, Studio, or Robotics buyer job using x402. |
run_wave_example | Execute the catalog-owned bounded example through the real typed WaveEngine adapter without accepting arbitrary input. |
run_wave_job | Pay anonymously with x402 by default, or explicitly use an authenticated Account Core balance, then submit one idempotent WaveEngine job. |
search_buyer_jobs | Select RQM buyer jobs from work-language requests using deterministic semantic scoring over instructions, examples, outputs, and next steps. |
search_wave_capabilities | Deterministically rank executable WaveEngine capabilities for a natural-language task and bounded filters. |
wave_apply_verified_phase_correction_v1 | 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. |
wave_compare_pipeline_responses_v1 | 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… |
wave_compare_waveform_captures_v1 | 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… |
wave_compile_curated_processing_recipe_v1 | 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. |
wave_convert_capture_to_spectrum_v1 | 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. |
wave_diagnose_multichannel_capture_v1 | 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… |
wave_equalize_pilot_capture_v1 | 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. |
wave_extract_wave_features_v1 | 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. |
wave_fit_coupled_channel_model_v1 | 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. |
wave_gate_signal_capture_v1 | 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… |
wave_generate_validated_signal_fixture_v1 | 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… |
wave_measure_phase_drift_v1 | 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… |
wave_optimize_processing_pipeline_v1 | 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… |
wave_reconstruct_bounded_capture_v1 | 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… |
wave_reconstruct_time_domain_signal_v1 | 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… |
wave_rotate_and_validate_two_channel_frame_v1 | 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. |
wave_transport_polarization_frame_v1 | 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. |
wave_validate_reconstruction_quality_v1 | 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. |
wave_validate_spectral_criteria_v1 | 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. |
wave_verify_wave_pipeline_v1 | 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… |
In its maker's words
Delegate 20 typed, evidence-backed WaveEngine signal work products with fixed-request x402.
- Website
- www.rqmtechnologies.com/waveengine/mcp
- Source
- github.com/RQM-Technologies-dev/RQM-Jobs-MCP
- Publisher
- rqmtechnologies.com (4 listings in the registry)
- Listed from
- the official MCP Registry as
com.rqmtechnologies/waveengine - Version
- 1.6.0, updated 20 Aug 2026
- Kinds of work
- AI models and agent tools, Code and developer tools, Data and databases
The domain it lives on
- rqmtechnologies.com
- registered 30 Jul 2025 (1 year ago), at Network Solutions, LLC, its home page is a working site
From our own crawl of domain names: registry records and the home page as our crawler last saw it.
Every call we made
| When | What happened | Time |
|---|---|---|
| Answered | 93 ms | |
| Answered | 105 ms | |
| Answered | 106 ms | |
| Answered | 106 ms |
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