Data plausibility and fused coherence between sensors — API for time-series analysis against physical laws.
This service provides data plausibility and fused coherence assessments across your sensor data. It is intended for analysing time-series data for physical laws: checking that measurements are consistent, physically meaningful, and coherent when multiple sensors or channels are used together.
Name your files as equipment descriptions: free-form but “speaking”, so it’s clear what the data represents. Examples:
vibrosensor_100kHz_energy.csvimu_accel_gyro_1khz.csvthermocouple_zone_A_1hz.csvUse explanatory column names: free-form but clear about quantity, axis, and units. Examples:
accel_x_g, accel_y_g, accel_z_gmag_z_uTtemp_C, humidity_pctThis helps the assessment interpret your data correctly and produce more useful plausibility and coherence results.
Total request size is limited to 200 MB. Uploads over this limit are rejected with 413 Payload Too Large. Keep combined size of all CSV files within this limit.
For endpoints, request format, and authentication, see the API documentation.