--- title: "Meta Fields" description: "A meta field is a field that has been automatically been added to your Schema by Lytics. Meta fields are not integration specific. For lists of fields created…" url: "https://www.contentstack.com/docs/lytics/meta-fields" product: "Contentstack" doc_type: "guide" audience: - developers - admins version: "current" last_updated: "2026-11-05" --- # Meta Fields A meta field is a field that has been automatically been added to your Schema by Lytics. Meta fields are not integration specific. For lists of fields created for specific integrations, reference the documentation for the tool of interest. ## Meta Fields Field ID Short Description Data Type Summary \_created Created Timestamp date The earliest historic timestamp found across all data sources \_id Lytics ID string Canonical identifier from Lytics identity resolution \_last\_scored Last Scored Timestamp date Timestamp indicating when the profile was last scored \_modified Modified Timestamp date Timestamp indicating when the profile was last modifed \_segments Segment Membership \[\]string All of the segments to which a profile currently belongs \_segs Computed Traits membership Segment history (shows in and out times for segment membership) \_split Random Split 1 int Random profile partitions (0 - 99) \_split2 Random Split 2 int Random profile partitions (0 - 99) \_num\_aliases \-- int The number of identifiers in the profile \_num\_events \-- int The number of total user events \_num\_streams \-- int The number of streams where the user has been seen \_num\_days \-- int The number of days where there has been a stream event associated with the user \_num\_conflicts \-- int The number of merge conflicts encountered on the traversal (artifact of traversal before indexing) \_conflicts \-- map\[string\]int The number of conflicts per identifier field \_num\_max\_neighbors \-- int The number of fragments skipped in traversal due to max neighbors \_max\_traversals \-- bool Indicates the profile has hit the maximum number of traversals \_num\_nested\_values \-- int The number of values in "nested" field types on an entity (profile) \_total\_sz \-- int The total byte size of all fields on the profile \_cust\_sz \-- int The total byte size of all non-meta fields on the profile \_internal\_sz \-- int The total byte size of all _meta_ fields on the profile \_elasticsearch\_size \-- int The total byte size attempted to write to Elasticsearch, but failed \_streamnames Stream Names \[\]string All the streams that have been seen on each profile \_broken\_profile\_broke\_max\_size \-- bool If true, indicates that this is the reason for the profile's unhealthy state \_broken\_profile\_broke\_max\_fragment\_size \-- bool If true, indicates that this is the reason for the profile's unhealthy state \_broken\_profile\_max\_neighbors \-- bool If true, indicates that this is the reason for the profile's unhealthy state \_broken\_profile\_nested\_count \-- bool If true, indicates that this is the reason for the profile's unhealthy state On Unhealthy Profiles, only some Meta fields will continue to be surfaced. View the these fields in our [Understanding Profile Health documentation](/docs/lytics/user-profile-health#unhealthy-profiles) ### ML Powered Meta Fields These meta fields are the result of Lytics machine learning algorithms. Field ID Short Description Data Type Description lytics\_content Content Topics map\[string\]number Raw topic interests from Lytics Affinity Engine lytics\_content\_inferred Inferred Content Topics map\[string\]number Inferred topic interests from Lytics Affinity Engine lytics\_rollup Content Affinities map\[string\]number Content affinities from Lytics Affinity Engine score\_consistency Score Consistency int Behavior based score ([Consistency](/docs/lytics/behavioral-scores#consistency)) score\_frequency Score Frequency int Behavior based score ([Frequency](/docs/lytics/behavioral-scores#frequency)) score\_intensity Score Intensity int Behavior based score ([Intensity](/docs/lytics/behavioral-scores#intensity)) score\_maturity Score Maturity int Behavior based score ([Maturity](/docs/lytics/behavioral-scores#maturity)) score\_momentum Score Momentum int Behavior based score ([Momentum](/docs/lytics/behavioral-scores#momentum)) score\_propensity Score Propensity int Behavior based score ([Propensity](/docs/lytics/behavioral-scores#propensity)) score\_quantity Score Quantity int Behavior based score ([Quantity](/docs/lytics/behavioral-scores#quantity)) score\_recency Score Recency int Behavior based score ([Recency](/docs/lytics/behavioral-scores#recency)) score\_volatility Score Volatility int Behavior based score ([Volatility](/docs/lytics/behavioral-scores#volatility)) segment\_prediction Lookalike Model Predictions map\[string\]number Scores from Lytics Lookalike and SegmentML models segment\_prediction\_percentile Lookalike Model Percentiles map\[string\]int Percentiles of scores from Lytics Lookalike and SegmentML models deliver\_day deliver day map\[string\]int The predicted best day to communicate with the user based on their next predicted event. deliver\_hour deliver hour map\[string\]int The predicted best time to communicate with the user based on their next predicted event. If you have turned on Scoring by Stream, you will see additional sets of Score fields containing the stream name for each stream being individually scored. ### Orchestration Meta Fields These fields will only be available when orchestration has been turned on in an account. holdout\_groups \-- map\[string\]bool Membership of holdout group by experience for orchestration simulation picked\_experiences picked experiences \[\]string IDs of out-of-the-box integration experiences that leverage delivery optimization and have been selected at one point for the user. needs\_message Needs Message Score map\[string\]number Score that represents the user's need for a message in a specific stream based on the relative distance to or from the predicted next event in the same stream. next\_event Next Event Prediction map\[string\]time The predicted timestamp an event is expected in a specific stream based on interaction patterns of the user in the same stream. next\_event\_low \-- map\[string\]time Next Event Prediction (Lower Bound) next\_event\_upper \-- map\[string\]time Next Event Prediction (Upper Bound) decision\_ttl \-- date Approximate time that decisioning for the profile will be reevaluated