Categories › AI & Agents › Multi-agent, orchestration & workflows
Delegate 20 typed, evidence-backed WaveEngine signal work products with fixed-request x402.
Remote server: your requests and data go to jobs.rqmtechnologies.com. Claude Code: claude mcp add --transport http rqm-waveengine-jobs https://jobs.rqmtechnologies.com/mcp/waveengine · Claude app: Settings → Connectors → Add custom connector.
The tools this server listed when we connected to it, in its own words.
list_buyer_jobs — Return complete agent discovery contracts and readiness for the exact 20/20/20 RQM specialist work portfolio.search_buyer_jobs — Select RQM buyer jobs from work-language requests using deterministic semantic scoring over instructions, examples, outputs, and next steps.list_wave_capabilities — Describe the preserved v0/v1 surface or the dynamic v2/v3 Wave catalog.get_wave_capability — Return one full approved public Wave capability descriptor.run_buyer_job — Quote, settle, and submit one allowlisted WaveEngine, Studio, or Robotics buyer job using x402.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. Iwave_diagnose_multichannel_capture_v1 — Problem: Diagnose this coordinated complex capture for bounded Wave-Intelligence degradation findings without inferring a physical cause. Inwave_measure_phase_drift_v1 — Problem: Measure phase drift in this bounded complex observation against the supplied reference and tolerances. Input: JSON with reference, wave_extract_wave_features_v1 — Problem: Convert this coordinated complex capture into the deterministic versioned Wave-Intelligence feature vector. Input: JSON with samplewave_reconstruct_bounded_capture_v1 — Problem: Reconstruct this bounded capture under the supplied transfer assumption and verify it against the reference rules. Input: JSON withwave_equalize_pilot_capture_v1 — Problem: Fit a bounded quaternion NLMS equalizer to this received and desired pilot capture. Input: JSON with input channels, output channelwave_transport_polarization_frame_v1 — Problem: Transform these Jones vectors or channel operators between the explicitly named SU(2) frames and verify invariants. Input: JSON witwave_generate_validated_signal_fixture_v1 — Problem: Generate this bounded sine or safe-formula signal fixture and return reproducibility, measurement, checksum, and validation evidencwave_compare_waveform_captures_v1 — Problem: Compare these two bounded waveforms against the supplied alignment and numeric rules. Input: JSON with sample rate hz, channels, rewave_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, outpwave_verify_wave_pipeline_v1 — Problem: Execute and verify this bounded Wave IR pipeline against the required representation, shape, and optional round-trip assertions. Inwave_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, rowave_convert_capture_to_spectrum_v1 — Problem: Convert this bounded complex capture into a checksummed spectral artifact with declared normalization. Input: JSON with sample ratewave_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 ratewave_optimize_processing_pipeline_v1 — Problem: Optimize this supported Wave pipeline against the supplied operation-count objective and equivalence rule. Input: JSON with operatiwave_compile_curated_processing_recipe_v1 — Problem: Compile this curated processing recipe and return its validated pipeline and execution trace. Input: JSON with fixture, maximum rouwave_apply_verified_phase_correction_v1 — Problem: Apply this bounded phase correction and verify the supplied preservation assertions. Input: JSON with sample rate hz, channels, angwave_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, nowave_validate_reconstruction_quality_v1 — Problem: Compare this reconstruction with the supplied reference and acceptance rules. Input: JSON with reference, reconstruction, rules. Rewave_compare_pipeline_responses_v1 — Problem: Compare these two supported Wave pipelines on the supplied fixture and caller tolerances. Input: JSON with left pipeline, right pipsearch_wave_capabilities — Deterministically rank executable WaveEngine capabilities for a natural-language task and bounded filters.get_wave_example — Return one realistic illustrative request/result shape, artifact list, expected duration, and price guard.run_wave_example — Execute the catalog-owned bounded example through the real typed WaveEngine adapter without accepting arbitrary input.estimate_wave_job — Validate a bounded request against the live catalog and return a non-binding price and duration estimate without authentication.run_wave_job — Pay anonymously with x402 by default, or explicitly use an authenticated Account Core balance, then submit one idempotent WaveEngine job.get_wave_receipt — Retrieve the durable Account Core receipt for one settled WaveEngine reservation.get_wave_job_status — Read one authorized Wave or Studio managed-simulator job.get_wave_job_result — Read one completed and already-settled product result.get_wave_job_artifact — Retrieve one principal-scoped bounded Wave result artifact.Not tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.