Data Reference H-L
This document refers to deprecated parts of the platform and has been left intact to help customers with legacy integrations. In order to access the latest platform features and documentation, please go to https://docs.sentiance.com.
Objects
HandheldCallingAnnotation
Kind: Object
Implements: ITransportBehaviorAnnotation
type
'HandheldCallingAnnotation'
True
start
String
True
end
String
True
duration
Int
Duration is in milliseconds.
True
path
True
HandlingWithoutCallingAnnotation
Kind: Object
Implements: ITransportBehaviorAnnotation
type
'HandlingWithoutCallingAnnotation'
True
start
String
True
end
String
True
duration
Int
Duration is in milliseconds.
True
path
True
HandsfreeCallingAnnotation
Kind: Object
Implements: ITransportBehaviorAnnotation
type
'HandsfreeCallingAnnotation'
True
start
String
True
end
String
True
duration
Int
Duration is in milliseconds.
True
path
True
IAggregatedAnomaly
Kind: INTERFACE
Implemented by: AggregatedDistanceAnomaly, AggregatedDurationAnomaly, DayCountAnomaly, OccurrenceCountAnomaly An anomaly that we have detected for a user over a period of time.
period
Aggregation period over which the data is calculated.
True
day_part
Optional additional aggregation over which the data is calculated.
True
IAnomaly
Kind: INTERFACE
Implemented by: DistanceAnomaly, AggregatedDistanceAnomaly, DurationAnomaly, AggregatedDurationAnomaly, DayCountAnomaly, OccurrenceCountAnomaly An anomaly that we have detected for a user.
type
'IAnomaly'
True
start
String
True
end
String
True
analysis_type
Deprecation notice
analysis_type is deprecated.
After significantly improving our platform's real-timeliness, we now don't need the analysis of a trip to go through multiple phases. This means you no longer need to filter our Firehose or API output by AnalysisType. Previously, trips had three analysis types based on processing latency. They were, namely, 'processed,' 'indepth,' and 'preliminary.' Based on your use cases, you may have filtered out certain types. As we will deprecate this field on Dec 10, 2021, you will need to change your backend if you use the AnalysisType field.
True
anomaly
True
sigma
Float
The observed standard deviation from expected behavior for this anomaly. If the standard deviation is high, the anomaly confidence will be low.
True
probability
Float
The larger the probability, the more anomaly. Value is between 0.0 and 1.0.
True
IBranchEvent
Kind: INTERFACE
Implemented by: StationaryPrediction, TransportPrediction A single predicted event.
start
String
Predicted start time of the event.
True
end
String
Predicted end time of the event.
True
probability
Float
The probability of this prediction occurring.
True
type
'IBranchEvent'
True
IDayCountAnomaly
Kind: INTERFACE
Implemented by: DayCountAnomaly
observed_days
Float
Observed amount of days.
True
expected_days
Float
Expected amount of days.
True
IDistanceAnomaly
Kind: INTERFACE
Implemented by: DistanceAnomaly, AggregatedDistanceAnomaly
observed_distance
Float
Observed distance in meter.
True
expected_distance
Float
Expected distance in meter.
True
IDurationAnomaly
Kind: INTERFACE
Implemented by: DurationAnomaly, AggregatedDurationAnomaly
observed_duration
Float
Observed duration in seconds.
True
expected_duration
Float
Expected duration in seconds.
True
IEvent
Kind: INTERFACE
Implemented by: Trip, Stationary, Transport An occurrence of an event that we have detected for a user. This interface is implemented by the Stationary and Transport models.
type
'IEvent'
True
event_id
String
False
previous_event_id
String
True
next_event_id
String
True
start
String
The time this moment started, ISO8601. Value can change and become more accurate over time. Example: 2015-05-28T14:37:14.839+00:00
True
end
String
The time this moment ended, ISO8601. Value can be null. Value can change and become more accurate over time. Example: 2015-05-28T14:37:14.839+00:00
True
start_ts
True
end_ts
True
analysis_type
How well this event is analyzed by the platform, this value will update over time.
Possible values:
preliminary, indepth, processed.
Deprecation notice
analysis_type is deprecated.
After significantly improving our platform's real-timeliness, we now don't need the analysis of a trip to go through multiple phases. This means you no longer need to filter our Firehose or API output by AnalysisType. Previously, trips had three analysis types based on processing latency. They were, namely, 'processed,' 'indepth,' and 'preliminary.' Based on your use cases, you may have filtered out certain types. As we will deprecate this field on Dec 10, 2021, you will need to change your backend if you use the AnalysisType field.
True
weather
Weather data associated with this event.
True
IEventFeedback
Kind: INTERFACE
Implemented by: StationaryFeedback, TransportFeedback An occurrence of event feedback submitted by a user.
event_feedback
True
IEventPrediction
Kind: INTERFACE
Implemented by: StationaryIntervalPrediction, TransportIntervalPrediction An occurrence of an event prediction that we have detected for a user.
event_type
True
IFeedback
Kind: INTERFACE
Implemented by: StationaryFeedback, TransportFeedback, CrashFeedback, MomentFeedback An occurrence of feedback submitted by a user.
type
'IFeedback'
True
start
String
Start time the feedback relates to, sourced by the event, moment or user-provided.
False
end
String
End time the feedback relates to, sourced by the event, moment or user-provided.
True
created
String
Time when this feedback entry was created.
True
projection_time
String
Time to provide when the feedback data was read from the API. ISO8601. Optional.
True
IIntervalPrediction
Kind: INTERFACE
Implemented by: StationaryIntervalPrediction, TransportIntervalPrediction A prediction that has a start interval.
start_interval
True
IMoment
Kind: INTERFACE
Implemented by: GenericMoment, CityMoment, CountryMoment An occurrence of a MomentDefinition that we have detected for a user.
type
'IMoment'
True
start
String
The time this moment started, ISO8601. Value can change and become more accurate over time. Example: 2015-05-28T14:37:14.839+00:00
True
end
String
The time this moment ended, ISO8601. Value can be null. Value can change and become more accurate over time. Example: 2015-05-28T14:37:14.839+00:00
True
start_ts
True
end_ts
True
analysis_type
How well this moment is analyzed by the platform, this value will update over time.
Possible values:
preliminary, indepth, processed.
Deprecation notice
analysis_type is deprecated.
After significantly improving our platform's real-timeliness, we now don't need the analysis of a trip to go through multiple phases. This means you no longer need to filter our Firehose or API output by AnalysisType. Previously, trips had three analysis types based on processing latency. They were, namely, 'processed,' 'indepth,' and 'preliminary.' Based on your use cases, you may have filtered out certain types. As we will deprecate this field on Dec 10, 2021, you will need to change your backend if you use the AnalysisType field.
True
moment_definition_id
String
The ID of the MomentDefinition this moment relates to.
True
moment_definition
The MomentDefinition this moment relates to.
True
IMomentAnomaly
Kind: INTERFACE
Implemented by: DistanceAnomaly, AggregatedDistanceAnomaly, DurationAnomaly, AggregatedDurationAnomaly, DayCountAnomaly, OccurrenceCountAnomaly
moment_definition_id
String
True
IMomentFeedback
Kind: INTERFACE
Implemented by: MomentFeedback An occurrence of moment feedback submitted by a user.
moment_feedback
True
IOccurrenceCountAnomaly
Kind: INTERFACE
Implemented by: OccurrenceCountAnomaly
observed_occurrences
Float
Observed amount of occurrences.
True
expected_occurrences
Float
Expected amount of occurrences.
True
IPrediction
Kind: INTERFACE
Implemented by: StationaryIntervalPrediction, TransportIntervalPrediction An occurance of a prediction that we have detected for a user.
type
'IPrediction'
True
probability
Float
True
ISegment
Kind: INTERFACE
Implemented by: GenericSegment An occurrence of a SegmentDefinition that we have detected for this user.
type
'ISegment'
True
segment_definition_id
String
The ID of the SegmentDefinition this segment relates to.
True
segment_definition
The SegmentDefinition this segment relates to.
True
IStationaryAnomaly
Kind: INTERFACE
Implemented by: DistanceAnomaly, AggregatedDistanceAnomaly, DurationAnomaly, AggregatedDurationAnomaly, DayCountAnomaly, OccurrenceCountAnomaly
place_category
String
True
location_significance
True
ITimeAggregateAttribute
Kind: INTERFACE
Implemented by: CommuteTimeAggregate, StationaryTimeAggregate, TransportTimeAggregate, WorkingTimeAggregate An attribute that aggregates by TimePeriod.
period
True
ITransportAnomaly
Kind: INTERFACE
Implemented by: DistanceAnomaly, AggregatedDistanceAnomaly, DurationAnomaly, AggregatedDurationAnomaly, DayCountAnomaly, OccurrenceCountAnomaly
transport_mode
True
transport_mode_category
True
ITransportBehaviorAnnotation
Kind: INTERFACE
Implemented by: BoundaryBehaviorAnnotation, AccelerationBehaviorAnnotation, AnomalyBehaviorAnnotation, TurnBehaviorAnnotation, HandlingWithoutCallingAnnotation, HandsfreeCallingAnnotation, HandheldCallingAnnotation, CrashAnnotation
type
'ITransportBehaviorAnnotation'
True
start
String
True
end
String
True
IUser
Kind: INTERFACE
Implemented by: User, ControlUser
type
'IUser'
True
id
String
The unique identifier for this user.
True
can_login
Boolean
True
created_at
String
The time when this user was created, ISO8601. Example: 2015-05-28T14:37:14.839+00:00
True
sdk
True
application_id
String
The ID of the Application this user relates to.
True
application
The Application this user relates to.
True
custom_event_history
Custom Event History
True
event_history
An unordered list of events we have detected for this user.
True
car_behavior
The user car behavior aggregated over the last 9 weeks.
True
aggregated_driving_scores
True
transport_heatmaps
The aggregated transport heatmaps calculated over time.
Deprecation notice
transport_heatmaps is deprecated.
No longer used.
True
metadata
All custom set metadata properties on this user. This is a JSON object with key->value pairs.
True
device
The last known active tracking device metadata
True
active_moments
An unordered list of moments that are ongoing from the point of view of the platform.
True
moment_history
An unordered list of moments we have detected for this user.
True
semantic_time
The user's semantic time averaged over time.
True
anomaly_history
Deprecation notice
anomaly_history is deprecated.
No longer relevant.
True
segments
An unordered list of segments that are detected for this user.
True
location_clusters
Locations this user has been stationary at and the features we have learned about those locations (significance, point of interest, ...)
True
location
The last known location we have for this user.
True
health
The historical health attributes.
Deprecation notice
health is deprecated.
No longer supported
True
attributes
Deprecation notice
attributes is deprecated.
No longer supported.
True
predictions
Event/Moment predictions for this user
Deprecation notice
predictions is deprecated.
Please use prediction_tree
.
True
prediction_tree
Multiple possible predictions of events that are about to take place next. They are ordered by the highest probability of each sequence of events taking place.
True
feedback
Feedback on this user
Deprecation notice
feedback is deprecated.
Replaced by feedback_history
True
feedback_history
Feedback on this user
True
step_count
Step count details of the given user on the given date range. This feature is currently in Beta, for additional information contact support@sentiance.com.
True
IUserAttribute
Kind: INTERFACE
Implemented by: CommuteTimeAggregate, StationaryTimeAggregate, TransportTimeAggregate, WorkingTimeAggregate
type
'IUserAttribute'
True
InputAddress
Kind: INPUT_OBJECT
InputCrash
Kind: INPUT_OBJECT
InputCrashFeedback
Kind: INPUT_OBJECT
InputEventFeedback
Kind: INPUT_OBJECT
InputLocationPlaceCandidate
Kind: INPUT_OBJECT
InputMoment
Kind: INPUT_OBJECT
InputMomentFeedback
Kind: INPUT_OBJECT
InputOndeviceMLModel
Kind: INPUT_OBJECT
Name of the models that were used to detect the crash. Mainly used as internal reference.
InputStationary
Kind: INPUT_OBJECT
InputStationaryLocation
Kind: INPUT_OBJECT
InputTrajectoryWaypoint
Kind: INPUT_OBJECT
A single waypoint in the augmented trajectory.
InputTransport
Kind: INPUT_OBJECT
InputTransportBehaviorFeatures
Kind: SCALAR
InputTransportBehaviorScores
Kind: SCALAR
InputTransportTrajectory
Kind: INPUT_OBJECT
InputWaypoint
Kind: INPUT_OBJECT
JSON
Kind: SCALAR
The JSON
scalar type represents JSON values as specified by ECMA-404.
LocationCluster
Kind: Object
type
String
'LocationCluster'
True
last_visit
String
True
latitude
Float
True
longitude
Float
True
address
True
radius
Int
True
is_poi
Boolean
True
significance
True
place
True
LocationPlaceCandidate
Kind: Object
A place selected from one of our data sources.
type
String
'LocationPlaceCandidate'
True
name
String
Name of the place. Can be null if no specific place can be assigned.
True
categories
List of categories for this place, sorted by granularity. Categories might still be provided when name is null, for example when shopping in a shopping street, categories like shopping and retail can still exist.
Deprecation notice
categories is deprecated.
These are outdated. Please use category_hierarchy
instead.
True
category_hierarchy
A list of venue categories in hierarchical order. The first item represents the broadest category, with each subsequent item representing a more specific one. For ex. ["shop","food","grocery","supermarket"]
True
probability
Float
True
latitude
Float
True
longitude
Float
True
provider
String
True
LocationSignificance
Kind: ENUM
home: A location identified as one of the user's home locations.
work: A location identified as one of the user's work locations.
regular: Locations you regularly visit. Typical examples are places you regularly go shopping, your gym, a friend's place, ...
nonregular: Default type for locations you don't often visit.
poi: Points of interest that have not been classified as home/work previously.
new: Only available a short time when you visit the location the first time.
Last updated