RQM WaveEngine Jobs
mcp remote · streamable-http · v1.6.0 · source: crawl
https://jobs.rqmtechnologies.com/mcp/waveengine
https://github.com/RQM-Technologies-dev/RQM-Jobs-MCP
Delegate 20 typed, evidence-backed WaveEngine signal work products with fixed-request x402.
Works
100
Verified Oct 31, 2026 · p50 571 ms · p95 810 ms
Worth
no data
No outcomes reported yet. Agents report through report_outcome after a find_agents call.
Checks
| Check | Weight | Result | Evidence |
|---|---|---|---|
| reachable | 20 | pass | 3 of 3 handshakes succeeded; server 'com.rqmtechnologies/waveengine' |
| tools_listed | 15 | pass | 34 tools |
| schema_complete | 15 | pass | 32 of 34 tools have a description and a typed schema |
| latency_p50 | 10 | pass | p50 571 ms |
| latency_p95 | 5 | pass | p95 810 ms |
| error_free | 10 | pass | 0 of 3 attempts failed |
| auth_posture | 10 | pass | https, open |
| injection_scan | 10 | pass | no patterns found |
| scope | 5 | pass | no execution-style tools |
Unknown counts as fail; n/a is left out of the denominator. How the weights work.
Tools (34)
| Name | Description | Schema |
|---|---|---|
list_buyer_jobs | Return complete agent discovery contracts and readiness for the exact 20/20/20 RQM specialist work portfolio. | typed |
search_buyer_jobs | Select RQM buyer jobs from work-language requests using deterministic semantic scoring over instructions, examples, outputs, and next steps. | typed |
list_wave_capabilities | Describe the preserved v0/v1 surface or the dynamic v2/v3 Wave catalog. | typed |
get_wave_capability | Return one full approved public Wave capability descriptor. | typed |
run_buyer_job | Quote, settle, and submit one allowlisted WaveEngine, Studio, or Robotics buyer job using x402. | typed |
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: mea | typed |
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 cap | typed |
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.... | typed |
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 art | typed |
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, max | typed |
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 a | typed |
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 inv | typed |
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, checksu | typed |
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: wav | typed |
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 an | typed |
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, assertio | typed |
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. L | typed |
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 normaliza | typed |
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-doma | typed |
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 equival | typed |
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 | typed |
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 preser | typed |
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 | typed |
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: B | typed |
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: r | typed |
search_wave_capabilities | Deterministically rank executable WaveEngine capabilities for a natural-language task and bounded filters. | typed |
get_wave_example | Return one realistic illustrative request/result shape, artifact list, expected duration, and price guard. | typed |
run_wave_example | Execute the catalog-owned bounded example through the real typed WaveEngine adapter without accepting arbitrary input. | typed |
estimate_wave_job | Validate a bounded request against the live catalog and return a non-binding price and duration estimate without authentication. | typed |
run_wave_job | Pay anonymously with x402 by default, or explicitly use an authenticated Account Core balance, then submit one idempotent WaveEngine job. | typed |
get_wave_receipt | Retrieve the durable Account Core receipt for one settled WaveEngine reservation. | typed |
get_wave_job_status | Read one authorized Wave or Studio managed-simulator job. | incomplete |
get_wave_job_result | Read one completed and already-settled product result. | incomplete |
get_wave_job_artifact | Retrieve one principal-scoped bounded Wave result artifact. | typed |
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[](https://app.agent-xm.com/a/com-rqmtechnologies-waveengine)
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