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Input: JSON with sample rate hz, channel, normal"},{"name":"wave_reconstruct_time_domain_signal_v1","description":"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,"},{"name":"wave_optimize_processing_pipeline_v1","description":"Problem: Optimize this supported Wave pipeline against the supplied operation-count objective and equivalence rule. Input: JSON with operations, fixture, object"},{"name":"wave_compile_curated_processing_recipe_v1","description":"Problem: Compile this curated processing recipe and return its validated pipeline and execution trace. Input: JSON with fixture, maximum round trip rmse. Result"},{"name":"wave_apply_verified_phase_correction_v1","description":"Problem: Apply this bounded phase correction and verify the supplied preservation assertions. 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Input: JSON with observation, refere"},{"name":"wave_equalize_pilot_capture_v1","description":"Problem: Fit a bounded quaternion NLMS equalizer to this received and desired pilot capture. Input: JSON with input channels, output channels, received, desired"},{"name":"wave_transport_polarization_frame_v1","description":"Problem: Transform these Jones vectors or channel operators between the explicitly named SU(2) frames and verify invariants. Input: JSON with mode, rotor. Resul"},{"name":"wave_generate_validated_signal_fixture_v1","description":"Problem: Generate this bounded sine or safe-formula signal fixture and return reproducibility, measurement, checksum, and validation evidence. Input: JSON with "},{"name":"wave_compare_waveform_captures_v1","description":"Problem: Compare these two bounded waveforms against the supplied alignment and numeric rules. Input: JSON with sample rate hz, channels, reference channel id, "},{"name":"wave_fit_coupled_channel_model_v1","description":"Problem: Fit a bounded structured quaternion ridge model to these coupled channel features and targets. Input: JSON with feature count, output count, features, "},{"name":"wave_verify_wave_pipeline_v1","description":"Problem: Execute and verify this bounded Wave IR pipeline against the required representation, shape, and optional round-trip assertions. Input: JSON with sampl"},{"name":"wave_rotate_and_validate_two_channel_frame_v1","description":"Problem: Rotate these two coordinated complex channels with the supplied rotor and validate caller invariants. Input: JSON with channels, rotor, rules. Result: "},{"name":"wave_convert_capture_to_spectrum_v1","description":"Problem: Convert this bounded complex capture into a checksummed spectral artifact with declared normalization. Input: JSON with sample rate hz, channel, normal"},{"name":"wave_reconstruct_time_domain_signal_v1","description":"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,"},{"name":"wave_optimize_processing_pipeline_v1","description":"Problem: Optimize this supported Wave pipeline against the supplied operation-count objective and equivalence rule. Input: JSON with operations, fixture, object"},{"name":"wave_compile_curated_processing_recipe_v1","description":"Problem: Compile this curated processing recipe and return its validated pipeline and execution trace. Input: JSON with fixture, maximum round trip rmse. Result"},{"name":"wave_apply_verified_phase_correction_v1","description":"Problem: Apply this bounded phase correction and verify the supplied preservation assertions. 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Input: JSON with observation, refere"},{"name":"wave_equalize_pilot_capture_v1","description":"Problem: Fit a bounded quaternion NLMS equalizer to this received and desired pilot capture. Input: JSON with input channels, output channels, received, desired"},{"name":"wave_transport_polarization_frame_v1","description":"Problem: Transform these Jones vectors or channel operators between the explicitly named SU(2) frames and verify invariants. Input: JSON with mode, rotor. Resul"},{"name":"wave_generate_validated_signal_fixture_v1","description":"Problem: Generate this bounded sine or safe-formula signal fixture and return reproducibility, measurement, checksum, and validation evidence. Input: JSON with "},{"name":"wave_compare_waveform_captures_v1","description":"Problem: Compare these two bounded waveforms against the supplied alignment and numeric rules. Input: JSON with sample rate hz, channels, reference channel id, "},{"name":"wave_fit_coupled_channel_model_v1","description":"Problem: Fit a bounded structured quaternion ridge model to these coupled channel features and targets. Input: JSON with feature count, output count, features, "},{"name":"wave_verify_wave_pipeline_v1","description":"Problem: Execute and verify this bounded Wave IR pipeline against the required representation, shape, and optional round-trip assertions. Input: JSON with sampl"},{"name":"wave_rotate_and_validate_two_channel_frame_v1","description":"Problem: Rotate these two coordinated complex channels with the supplied rotor and validate caller invariants. Input: JSON with channels, rotor, rules. Result: "},{"name":"wave_convert_capture_to_spectrum_v1","description":"Problem: Convert this bounded complex capture into a checksummed spectral artifact with declared normalization. Input: JSON with sample rate hz, channel, normal"},{"name":"wave_reconstruct_time_domain_signal_v1","description":"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,"},{"name":"wave_optimize_processing_pipeline_v1","description":"Problem: Optimize this supported Wave pipeline against the supplied operation-count objective and equivalence rule. Input: JSON with operations, fixture, object"},{"name":"wave_compile_curated_processing_recipe_v1","description":"Problem: Compile this curated processing recipe and return its validated pipeline and execution trace. Input: JSON with fixture, maximum round trip rmse. Result"},{"name":"wave_apply_verified_phase_correction_v1","description":"Problem: Apply this bounded phase correction and verify the supplied preservation assertions. Input: JSON with sample rate hz, channels, angle radians, assertio"},{"name":"wave_validate_spectral_criteria_v1","description":"Problem: Accept or reject this bounded capture against the caller's supplied spectral criteria. Input: JSON with sample rate hz, channel, normalization, rules. "},{"name":"wave_validate_reconstruction_quality_v1","description":"Problem: Compare this reconstruction with the supplied reference and acceptance rules. Input: JSON with reference, reconstruction, rules. Result: reconstruction"},{"name":"wave_compare_pipeline_responses_v1","description":"Problem: Compare these two supported Wave pipelines on the supplied fixture and caller tolerances. 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Input: JSON with samp"},{"name":"wave_diagnose_multichannel_capture_v1","description":"Problem: Diagnose this coordinated complex capture for bounded Wave-Intelligence degradation findings without inferring a physical cause. Input: JSON with sampl"},{"name":"wave_measure_phase_drift_v1","description":"Problem: Measure phase drift in this bounded complex observation against the supplied reference and tolerances. Input: JSON with reference, observation, maximum"},{"name":"wave_extract_wave_features_v1","description":"Problem: Convert this coordinated complex capture into the deterministic versioned Wave-Intelligence feature vector. Input: JSON with sample rate hz, channels. "},{"name":"wave_reconstruct_bounded_capture_v1","description":"Problem: Reconstruct this bounded capture under the supplied transfer assumption and verify it against the reference rules. Input: JSON with observation, refere"},{"name":"wave_equalize_pilot_capture_v1","description":"Problem: Fit a bounded quaternion NLMS equalizer to this received and desired pilot capture. Input: JSON with input channels, output channels, received, desired"},{"name":"wave_transport_polarization_frame_v1","description":"Problem: Transform these Jones vectors or channel operators between the explicitly named SU(2) frames and verify invariants. Input: JSON with mode, rotor. Resul"},{"name":"wave_generate_validated_signal_fixture_v1","description":"Problem: Generate this bounded sine or safe-formula signal fixture and return reproducibility, measurement, checksum, and validation evidence. Input: JSON with "},{"name":"wave_compare_waveform_captures_v1","description":"Problem: Compare these two bounded waveforms against the supplied alignment and numeric rules. Input: JSON with sample rate hz, channels, reference channel id, "},{"name":"wave_fit_coupled_channel_model_v1","description":"Problem: Fit a bounded structured quaternion ridge model to these coupled channel features and targets. Input: JSON with feature count, output count, features, "},{"name":"wave_verify_wave_pipeline_v1","description":"Problem: Execute and verify this bounded Wave IR pipeline against the required representation, shape, and optional round-trip assertions. Input: JSON with sampl"},{"name":"wave_rotate_and_validate_two_channel_frame_v1","description":"Problem: Rotate these two coordinated complex channels with the supplied rotor and validate caller invariants. Input: JSON with channels, rotor, rules. Result: "},{"name":"wave_convert_capture_to_spectrum_v1","description":"Problem: Convert this bounded complex capture into a checksummed spectral artifact with declared normalization. Input: JSON with sample rate hz, channel, normal"},{"name":"wave_reconstruct_time_domain_signal_v1","description":"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,"},{"name":"wave_optimize_processing_pipeline_v1","description":"Problem: Optimize this supported Wave pipeline against the supplied operation-count objective and equivalence rule. Input: JSON with operations, fixture, object"},{"name":"wave_compile_curated_processing_recipe_v1","description":"Problem: Compile this curated processing recipe and return its validated pipeline and execution trace. Input: JSON with fixture, maximum round trip rmse. Result"},{"name":"wave_apply_verified_phase_correction_v1","description":"Problem: Apply this bounded phase correction and verify the supplied preservation assertions. Input: JSON with sample rate hz, channels, angle radians, assertio"},{"name":"wave_validate_spectral_criteria_v1","description":"Problem: Accept or reject this bounded capture against the caller's supplied spectral criteria. Input: JSON with sample rate hz, channel, normalization, rules. "},{"name":"wave_validate_reconstruction_quality_v1","description":"Problem: Compare this reconstruction with the supplied reference and acceptance rules. Input: JSON with reference, reconstruction, rules. Result: reconstruction"},{"name":"wave_compare_pipeline_responses_v1","description":"Problem: Compare these two supported Wave pipelines on the supplied fixture and caller tolerances. Input: JSON with left pipeline, right pipeline, fixture, maxi"},{"name":"search_wave_capabilities","description":"Deterministically rank executable WaveEngine capabilities for a natural-language task and bounded filters."},{"name":"get_wave_example","description":"Return one realistic illustrative request/result shape, artifact list, expected duration, and price guard."},{"name":"run_wave_example","description":"Execute the catalog-owned bounded example through the real typed WaveEngine adapter without accepting arbitrary input."},{"name":"estimate_wave_job","description":"Validate a bounded request against the live catalog and return a non-binding price and duration estimate without authentication."},{"name":"run_wave_job","description":"Pay anonymously with x402 by default, or explicitly use an authenticated Account Core balance, then submit one idempotent WaveEngine job."},{"name":"get_wave_receipt","description":"Retrieve the durable Account Core receipt for one settled WaveEngine reservation."},{"name":"get_wave_job_status","description":"Read one authorized Wave or Studio managed-simulator job."},{"name":"get_wave_job_result","description":"Read one completed and already-settled product result."},{"name":"get_wave_job_artifact","description":"Retrieve one principal-scoped bounded Wave result artifact."}],"toolCount":34,"toolsHash":"41e4fdf66b869722de5f7ce2e9a09bd4e22555e7a2d36f926041f96b584c476b","serverName":"com.rqmtechnologies/waveengine","capabilities":["tools"],"serverVersion":"1.7.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-08T17:27:38.463Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":899,"error":null,"detail":{"tools":[{"name":"list_buyer_jobs","description":"Return complete agent discovery contracts and readiness for the exact 20/20/20 RQM specialist work portfolio."},{"name":"search_buyer_jobs","description":"Select RQM buyer jobs from work-language requests using deterministic semantic scoring over instructions, examples, outputs, and next steps."},{"name":"list_wave_capabilities","description":"Describe the preserved v0/v1 surface or the dynamic v2/v3 Wave catalog."},{"name":"get_wave_capability","description":"Return one full approved public Wave capability descriptor."},{"name":"run_buyer_job","description":"Quote, settle, and submit one allowlisted WaveEngine, Studio, or Robotics buyer job using x402."},{"name":"wave_gate_signal_capture_v1","description":"Problem: Accept or reject this bounded signal capture against the caller-supplied metric rules and return every measurement and violation. Input: JSON with samp"},{"name":"wave_diagnose_multichannel_capture_v1","description":"Problem: Diagnose this coordinated complex capture for bounded Wave-Intelligence degradation findings without inferring a physical cause. Input: JSON with sampl"},{"name":"wave_measure_phase_drift_v1","description":"Problem: Measure phase drift in this bounded complex observation against the supplied reference and tolerances. Input: JSON with reference, observation, maximum"},{"name":"wave_extract_wave_features_v1","description":"Problem: Convert this coordinated complex capture into the deterministic versioned Wave-Intelligence feature vector. Input: JSON with sample rate hz, channels. "},{"name":"wave_reconstruct_bounded_capture_v1","description":"Problem: Reconstruct this bounded capture under the supplied transfer assumption and verify it against the reference rules. Input: JSON with observation, refere"},{"name":"wave_equalize_pilot_capture_v1","description":"Problem: Fit a bounded quaternion NLMS equalizer to this received and desired pilot capture. Input: JSON with input channels, output channels, received, desired"},{"name":"wave_transport_polarization_frame_v1","description":"Problem: Transform these Jones vectors or channel operators between the explicitly named SU(2) frames and verify invariants. Input: JSON with mode, rotor. Resul"},{"name":"wave_generate_validated_signal_fixture_v1","description":"Problem: Generate this bounded sine or safe-formula signal fixture and return reproducibility, measurement, checksum, and validation evidence. Input: JSON with "},{"name":"wave_compare_waveform_captures_v1","description":"Problem: Compare these two bounded waveforms against the supplied alignment and numeric rules. Input: JSON with sample rate hz, channels, reference channel id, "},{"name":"wave_fit_coupled_channel_model_v1","description":"Problem: Fit a bounded structured quaternion ridge model to these coupled channel features and targets. Input: JSON with feature count, output count, features, "},{"name":"wave_verify_wave_pipeline_v1","description":"Problem: Execute and verify this bounded Wave IR pipeline against the required representation, shape, and optional round-trip assertions. Input: JSON with sampl"},{"name":"wave_rotate_and_validate_two_channel_frame_v1","description":"Problem: Rotate these two coordinated complex channels with the supplied rotor and validate caller invariants. Input: JSON with channels, rotor, rules. Result: "},{"name":"wave_convert_capture_to_spectrum_v1","description":"Problem: Convert this bounded complex capture into a checksummed spectral artifact with declared normalization. Input: JSON with sample rate hz, channel, normal"},{"name":"wave_reconstruct_time_domain_signal_v1","description":"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,"},{"name":"wave_optimize_processing_pipeline_v1","description":"Problem: Optimize this supported Wave pipeline against the supplied operation-count objective and equivalence rule. Input: JSON with operations, fixture, object"},{"name":"wave_compile_curated_processing_recipe_v1","description":"Problem: Compile this curated processing recipe and return its validated pipeline and execution trace. Input: JSON with fixture, maximum round trip rmse. Result"},{"name":"wave_apply_verified_phase_correction_v1","description":"Problem: Apply this bounded phase correction and verify the supplied preservation assertions. Input: JSON with sample rate hz, channels, angle radians, assertio"},{"name":"wave_validate_spectral_criteria_v1","description":"Problem: Accept or reject this bounded capture against the caller's supplied spectral criteria. Input: JSON with sample rate hz, channel, normalization, rules. "},{"name":"wave_validate_reconstruction_quality_v1","description":"Problem: Compare this reconstruction with the supplied reference and acceptance rules. Input: JSON with reference, reconstruction, rules. Result: reconstruction"},{"name":"wave_compare_pipeline_responses_v1","description":"Problem: Compare these two supported Wave pipelines on the supplied fixture and caller tolerances. Input: JSON with left pipeline, right pipeline, fixture, maxi"},{"name":"search_wave_capabilities","description":"Deterministically rank executable WaveEngine capabilities for a natural-language task and bounded filters."},{"name":"get_wave_example","description":"Return one realistic illustrative request/result shape, artifact list, expected duration, and price guard."},{"name":"run_wave_example","description":"Execute the catalog-owned bounded example through the real typed WaveEngine adapter without accepting arbitrary input."},{"name":"estimate_wave_job","description":"Validate a bounded request against the live catalog and return a non-binding price and duration estimate without authentication."},{"name":"run_wave_job","description":"Pay anonymously with x402 by default, or explicitly use an authenticated Account Core balance, then submit one idempotent WaveEngine job."},{"name":"get_wave_receipt","description":"Retrieve the durable Account Core receipt for one settled WaveEngine reservation."},{"name":"get_wave_job_status","description":"Read one authorized Wave or Studio managed-simulator job."},{"name":"get_wave_job_result","description":"Read one completed and already-settled product result."},{"name":"get_wave_job_artifact","description":"Retrieve one principal-scoped bounded Wave result artifact."}],"toolCount":34,"toolsHash":"41e4fdf66b869722de5f7ce2e9a09bd4e22555e7a2d36f926041f96b584c476b","serverName":"com.rqmtechnologies/waveengine","capabilities":["tools"],"serverVersion":"1.7.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-08T11:22:13.842Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":277,"error":null,"detail":{"tools":[{"name":"list_buyer_jobs","description":"Return complete agent discovery contracts and readiness for the exact 20/20/20 RQM specialist work portfolio."},{"name":"search_buyer_jobs","description":"Select RQM buyer jobs from work-language requests using deterministic semantic scoring over instructions, examples, outputs, and next steps."},{"name":"list_wave_capabilities","description":"Describe the preserved v0/v1 surface or the dynamic v2/v3 Wave catalog."},{"name":"get_wave_capability","description":"Return one full approved public Wave capability descriptor."},{"name":"run_buyer_job","description":"Quote, settle, and submit one allowlisted WaveEngine, Studio, or Robotics buyer job using x402."},{"name":"wave_gate_signal_capture_v1","description":"Problem: Accept or reject this bounded signal capture against the caller-supplied metric rules and return every measurement and violation. Input: JSON with samp"},{"name":"wave_diagnose_multichannel_capture_v1","description":"Problem: Diagnose this coordinated complex capture for bounded Wave-Intelligence degradation findings without inferring a physical cause. Input: JSON with sampl"},{"name":"wave_measure_phase_drift_v1","description":"Problem: Measure phase drift in this bounded complex observation against the supplied reference and tolerances. Input: JSON with reference, observation, maximum"},{"name":"wave_extract_wave_features_v1","description":"Problem: Convert this coordinated complex capture into the deterministic versioned Wave-Intelligence feature vector. Input: JSON with sample rate hz, channels. "},{"name":"wave_reconstruct_bounded_capture_v1","description":"Problem: Reconstruct this bounded capture under the supplied transfer assumption and verify it against the reference rules. Input: JSON with observation, refere"},{"name":"wave_equalize_pilot_capture_v1","description":"Problem: Fit a bounded quaternion NLMS equalizer to this received and desired pilot capture. Input: JSON with input channels, output channels, received, desired"},{"name":"wave_transport_polarization_frame_v1","description":"Problem: Transform these Jones vectors or channel operators between the explicitly named SU(2) frames and verify invariants. Input: JSON with mode, rotor. Resul"},{"name":"wave_generate_validated_signal_fixture_v1","description":"Problem: Generate this bounded sine or safe-formula signal fixture and return reproducibility, measurement, checksum, and validation evidence. Input: JSON with "},{"name":"wave_compare_waveform_captures_v1","description":"Problem: Compare these two bounded waveforms against the supplied alignment and numeric rules. Input: JSON with sample rate hz, channels, reference channel id, "},{"name":"wave_fit_coupled_channel_model_v1","description":"Problem: Fit a bounded structured quaternion ridge model to these coupled channel features and targets. Input: JSON with feature count, output count, features, "},{"name":"wave_verify_wave_pipeline_v1","description":"Problem: Execute and verify this bounded Wave IR pipeline against the required representation, shape, and optional round-trip assertions. Input: JSON with sampl"},{"name":"wave_rotate_and_validate_two_channel_frame_v1","description":"Problem: Rotate these two coordinated complex channels with the supplied rotor and validate caller invariants. Input: JSON with channels, rotor, rules. Result: "},{"name":"wave_convert_capture_to_spectrum_v1","description":"Problem: Convert this bounded complex capture into a checksummed spectral artifact with declared normalization. Input: JSON with sample rate hz, channel, normal"},{"name":"wave_reconstruct_time_domain_signal_v1","description":"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,"},{"name":"wave_optimize_processing_pipeline_v1","description":"Problem: Optimize this supported Wave pipeline against the supplied operation-count objective and equivalence rule. Input: JSON with operations, fixture, object"},{"name":"wave_compile_curated_processing_recipe_v1","description":"Problem: Compile this curated processing recipe and return its validated pipeline and execution trace. Input: JSON with fixture, maximum round trip rmse. Result"},{"name":"wave_apply_verified_phase_correction_v1","description":"Problem: Apply this bounded phase correction and verify the supplied preservation assertions. Input: JSON with sample rate hz, channels, angle radians, assertio"},{"name":"wave_validate_spectral_criteria_v1","description":"Problem: Accept or reject this bounded capture against the caller's supplied spectral criteria. Input: JSON with sample rate hz, channel, normalization, rules. "},{"name":"wave_validate_reconstruction_quality_v1","description":"Problem: Compare this reconstruction with the supplied reference and acceptance rules. Input: JSON with reference, reconstruction, rules. Result: reconstruction"},{"name":"wave_compare_pipeline_responses_v1","description":"Problem: Compare these two supported Wave pipelines on the supplied fixture and caller tolerances. Input: JSON with left pipeline, right pipeline, fixture, maxi"},{"name":"search_wave_capabilities","description":"Deterministically rank executable WaveEngine capabilities for a natural-language task and bounded filters."},{"name":"get_wave_example","description":"Return one realistic illustrative request/result shape, artifact list, expected duration, and price guard."},{"name":"run_wave_example","description":"Execute the catalog-owned bounded example through the real typed WaveEngine adapter without accepting arbitrary input."},{"name":"estimate_wave_job","description":"Validate a bounded request against the live catalog and return a non-binding price and duration estimate without authentication."},{"name":"run_wave_job","description":"Pay anonymously with x402 by default, or explicitly use an authenticated Account Core balance, then submit one idempotent WaveEngine job."},{"name":"get_wave_receipt","description":"Retrieve the durable Account Core receipt for one settled WaveEngine reservation."},{"name":"get_wave_job_status","description":"Read one authorized Wave or Studio managed-simulator job."},{"name":"get_wave_job_result","description":"Read one completed and already-settled product result."},{"name":"get_wave_job_artifact","description":"Retrieve one principal-scoped bounded Wave result artifact."}],"toolCount":34,"toolsHash":"41e4fdf66b869722de5f7ce2e9a09bd4e22555e7a2d36f926041f96b584c476b","serverName":"com.rqmtechnologies/waveengine","capabilities":["tools"],"serverVersion":"1.7.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-08T04:25:12.163Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":750,"error":null,"detail":{"tools":[{"name":"list_buyer_jobs","description":"Return complete agent discovery contracts and readiness for the exact 20/20/20 RQM specialist work portfolio."},{"name":"search_buyer_jobs","description":"Select RQM buyer jobs from work-language requests using deterministic semantic scoring over instructions, examples, outputs, and next steps."},{"name":"list_wave_capabilities","description":"Describe the preserved v0/v1 surface or the dynamic v2/v3 Wave catalog."},{"name":"get_wave_capability","description":"Return one full approved public Wave capability descriptor."},{"name":"run_buyer_job","description":"Quote, settle, and submit one allowlisted WaveEngine, Studio, or Robotics buyer job using x402."},{"name":"wave_gate_signal_capture_v1","description":"Problem: Accept or reject this bounded signal capture against the caller-supplied metric rules and return every measurement and violation. Input: JSON with samp"},{"name":"wave_diagnose_multichannel_capture_v1","description":"Problem: Diagnose this coordinated complex capture for bounded Wave-Intelligence degradation findings without inferring a physical cause. Input: JSON with sampl"},{"name":"wave_measure_phase_drift_v1","description":"Problem: Measure phase drift in this bounded complex observation against the supplied reference and tolerances. Input: JSON with reference, observation, maximum"},{"name":"wave_extract_wave_features_v1","description":"Problem: Convert this coordinated complex capture into the deterministic versioned Wave-Intelligence feature vector. Input: JSON with sample rate hz, channels. "},{"name":"wave_reconstruct_bounded_capture_v1","description":"Problem: Reconstruct this bounded capture under the supplied transfer assumption and verify it against the reference rules. Input: JSON with observation, refere"},{"name":"wave_equalize_pilot_capture_v1","description":"Problem: Fit a bounded quaternion NLMS equalizer to this received and desired pilot capture. Input: JSON with input channels, output channels, received, desired"},{"name":"wave_transport_polarization_frame_v1","description":"Problem: Transform these Jones vectors or channel operators between the explicitly named SU(2) frames and verify invariants. Input: JSON with mode, rotor. Resul"},{"name":"wave_generate_validated_signal_fixture_v1","description":"Problem: Generate this bounded sine or safe-formula signal fixture and return reproducibility, measurement, checksum, and validation evidence. Input: JSON with "},{"name":"wave_compare_waveform_captures_v1","description":"Problem: Compare these two bounded waveforms against the supplied alignment and numeric rules. Input: JSON with sample rate hz, channels, reference channel id, "},{"name":"wave_fit_coupled_channel_model_v1","description":"Problem: Fit a bounded structured quaternion ridge model to these coupled channel features and targets. Input: JSON with feature count, output count, features, "},{"name":"wave_verify_wave_pipeline_v1","description":"Problem: Execute and verify this bounded Wave IR pipeline against the required representation, shape, and optional round-trip assertions. Input: JSON with sampl"},{"name":"wave_rotate_and_validate_two_channel_frame_v1","description":"Problem: Rotate these two coordinated complex channels with the supplied rotor and validate caller invariants. Input: JSON with channels, rotor, rules. Result: "},{"name":"wave_convert_capture_to_spectrum_v1","description":"Problem: Convert this bounded complex capture into a checksummed spectral artifact with declared normalization. Input: JSON with sample rate hz, channel, normal"},{"name":"wave_reconstruct_time_domain_signal_v1","description":"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,"},{"name":"wave_optimize_processing_pipeline_v1","description":"Problem: Optimize this supported Wave pipeline against the supplied operation-count objective and equivalence rule. Input: JSON with operations, fixture, object"},{"name":"wave_compile_curated_processing_recipe_v1","description":"Problem: Compile this curated processing recipe and return its validated pipeline and execution trace. Input: JSON with fixture, maximum round trip rmse. Result"},{"name":"wave_apply_verified_phase_correction_v1","description":"Problem: Apply this bounded phase correction and verify the supplied preservation assertions. Input: JSON with sample rate hz, channels, angle radians, assertio"},{"name":"wave_validate_spectral_criteria_v1","description":"Problem: Accept or reject this bounded capture against the caller's supplied spectral criteria. Input: JSON with sample rate hz, channel, normalization, rules. "},{"name":"wave_validate_reconstruction_quality_v1","description":"Problem: Compare this reconstruction with the supplied reference and acceptance rules. Input: JSON with reference, reconstruction, rules. Result: reconstruction"},{"name":"wave_compare_pipeline_responses_v1","description":"Problem: Compare these two supported Wave pipelines on the supplied fixture and caller tolerances. Input: JSON with left pipeline, right pipeline, fixture, maxi"},{"name":"search_wave_capabilities","description":"Deterministically rank executable WaveEngine capabilities for a natural-language task and bounded filters."},{"name":"get_wave_example","description":"Return one realistic illustrative request/result shape, artifact list, expected duration, and price guard."},{"name":"run_wave_example","description":"Execute the catalog-owned bounded example through the real typed WaveEngine adapter without accepting arbitrary input."},{"name":"estimate_wave_job","description":"Validate a bounded request against the live catalog and return a non-binding price and duration estimate without authentication."},{"name":"run_wave_job","description":"Pay anonymously with x402 by default, or explicitly use an authenticated Account Core balance, then submit one idempotent WaveEngine job."},{"name":"get_wave_receipt","description":"Retrieve the durable Account Core receipt for one settled WaveEngine reservation."},{"name":"get_wave_job_status","description":"Read one authorized Wave or Studio managed-simulator job."},{"name":"get_wave_job_result","description":"Read one completed and already-settled product result."},{"name":"get_wave_job_artifact","description":"Retrieve one principal-scoped bounded Wave result artifact."}],"toolCount":34,"toolsHash":"41e4fdf66b869722de5f7ce2e9a09bd4e22555e7a2d36f926041f96b584c476b","serverName":"com.rqmtechnologies/waveengine","capabilities":["tools"],"serverVersion":"1.7.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-07T21:28:41.035Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":297,"error":null,"detail":{"tools":[{"name":"list_buyer_jobs","description":"Return complete agent discovery contracts and readiness for the exact 20/20/20 RQM specialist work portfolio."},{"name":"search_buyer_jobs","description":"Select RQM buyer jobs from work-language requests using deterministic semantic scoring over instructions, examples, outputs, and next steps."},{"name":"list_wave_capabilities","description":"Describe the preserved v0/v1 surface or the dynamic v2/v3 Wave catalog."},{"name":"get_wave_capability","description":"Return one full approved public Wave capability descriptor."},{"name":"run_buyer_job","description":"Quote, settle, and submit one allowlisted WaveEngine, Studio, or Robotics buyer job using x402."},{"name":"wave_gate_signal_capture_v1","description":"Problem: Accept or reject this bounded signal capture against the caller-supplied metric rules and return every measurement and violation. Input: JSON with samp"},{"name":"wave_diagnose_multichannel_capture_v1","description":"Problem: Diagnose this coordinated complex capture for bounded Wave-Intelligence degradation findings without inferring a physical cause. Input: JSON with sampl"},{"name":"wave_measure_phase_drift_v1","description":"Problem: Measure phase drift in this bounded complex observation against the supplied reference and tolerances. Input: JSON with reference, observation, maximum"},{"name":"wave_extract_wave_features_v1","description":"Problem: Convert this coordinated complex capture into the deterministic versioned Wave-Intelligence feature vector. Input: JSON with sample rate hz, channels. "},{"name":"wave_reconstruct_bounded_capture_v1","description":"Problem: Reconstruct this bounded capture under the supplied transfer assumption and verify it against the reference rules. Input: JSON with observation, refere"},{"name":"wave_equalize_pilot_capture_v1","description":"Problem: Fit a bounded quaternion NLMS equalizer to this received and desired pilot capture. Input: JSON with input channels, output channels, received, desired"},{"name":"wave_transport_polarization_frame_v1","description":"Problem: Transform these Jones vectors or channel operators between the explicitly named SU(2) frames and verify invariants. Input: JSON with mode, rotor. Resul"},{"name":"wave_generate_validated_signal_fixture_v1","description":"Problem: Generate this bounded sine or safe-formula signal fixture and return reproducibility, measurement, checksum, and validation evidence. Input: JSON with "},{"name":"wave_compare_waveform_captures_v1","description":"Problem: Compare these two bounded waveforms against the supplied alignment and numeric rules. Input: JSON with sample rate hz, channels, reference channel id, "},{"name":"wave_fit_coupled_channel_model_v1","description":"Problem: Fit a bounded structured quaternion ridge model to these coupled channel features and targets. Input: JSON with feature count, output count, features, "},{"name":"wave_verify_wave_pipeline_v1","description":"Problem: Execute and verify this bounded Wave IR pipeline against the required representation, shape, and optional round-trip assertions. Input: JSON with sampl"},{"name":"wave_rotate_and_validate_two_channel_frame_v1","description":"Problem: Rotate these two coordinated complex channels with the supplied rotor and validate caller invariants. Input: JSON with channels, rotor, rules. Result: "},{"name":"wave_convert_capture_to_spectrum_v1","description":"Problem: Convert this bounded complex capture into a checksummed spectral artifact with declared normalization. Input: JSON with sample rate hz, channel, normal"},{"name":"wave_reconstruct_time_domain_signal_v1","description":"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,"},{"name":"wave_optimize_processing_pipeline_v1","description":"Problem: Optimize this supported Wave pipeline against the supplied operation-count objective and equivalence rule. Input: JSON with operations, fixture, object"},{"name":"wave_compile_curated_processing_recipe_v1","description":"Problem: Compile this curated processing recipe and return its validated pipeline and execution trace. Input: JSON with fixture, maximum round trip rmse. Result"},{"name":"wave_apply_verified_phase_correction_v1","description":"Problem: Apply this bounded phase correction and verify the supplied preservation assertions. Input: JSON with sample rate hz, channels, angle radians, assertio"},{"name":"wave_validate_spectral_criteria_v1","description":"Problem: Accept or reject this bounded capture against the caller's supplied spectral criteria. Input: JSON with sample rate hz, channel, normalization, rules. "},{"name":"wave_validate_reconstruction_quality_v1","description":"Problem: Compare this reconstruction with the supplied reference and acceptance rules. Input: JSON with reference, reconstruction, rules. Result: reconstruction"},{"name":"wave_compare_pipeline_responses_v1","description":"Problem: Compare these two supported Wave pipelines on the supplied fixture and caller tolerances. 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Input: JSON with samp"},{"name":"wave_diagnose_multichannel_capture_v1","description":"Problem: Diagnose this coordinated complex capture for bounded Wave-Intelligence degradation findings without inferring a physical cause. Input: JSON with sampl"},{"name":"wave_measure_phase_drift_v1","description":"Problem: Measure phase drift in this bounded complex observation against the supplied reference and tolerances. Input: JSON with reference, observation, maximum"},{"name":"wave_extract_wave_features_v1","description":"Problem: Convert this coordinated complex capture into the deterministic versioned Wave-Intelligence feature vector. Input: JSON with sample rate hz, channels. "},{"name":"wave_reconstruct_bounded_capture_v1","description":"Problem: Reconstruct this bounded capture under the supplied transfer assumption and verify it against the reference rules. 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