Get CX AI

// // overview leveraging the unique interactionidentifier provided upon successfully declaring the audio https //docs elevateai com/tutorials/declare an audio interaction , transcript https //docs elevateai com/tutorials/declare a transcript , or chat https //docs elevateai com/tutorials/declare a chat interaction interaction, this endpoint enables you to instantly retrieve cx ai https //docs elevateai com/cx ai features analysis outputs when this get get request successfully executes, an http status will be returned to indicate the request was successful, along with a json response providing detailed cx ai output https //docs elevateai com/tutorials/get cx ai#s9opd sample api response (truncated) { "allparticipants" { "enlightenbundles" \[ { "name" "customer satisfaction", "models" \[ { "name" "acknowledgeloyalty", "score" 4 169592, "minscore" 3 1514606, "minscoreoffset" 75345, "maxscore" 2 7370446, "maxscoreoffset" 196550, "quartile1" 4 7154593, "quartile2" 0 39559406, "quartile3" 1 9443647, "quartile4" 6 545092 }, { "name" "activelistening", "score" 5 8615756, "minscore" 1 1147503, "minscoreoffset" 49390, "maxscore" 3 5741313, "maxscoreoffset" 197450, "quartile1" 1 8281904, "quartile2" 0 8814685, "quartile3" 1 9214101, "quartile4" 4 8868876 }, ] } ], "voiceactivitysegments" \[ { "starttimeoffset" 0, "endtimeoffset" 1000, "result" "voice" }, { "starttimeoffset" 1000, "endtimeoffset" 39000, "result" "silence" }, ] }, } if an error occurs when requesting to declare the interaction, a standard http status will be retuned to indicate the request was unsuccessful, along with a json response containing additional details to assist in troubleshooting troubleshooting // // request parameters & code examples // // response schema schema element type description {participant} object top level for speaker label speaker label , identifying whether output was determined based on speech across " allparticipants ", " participantone ", or " participanttwo " {participant}/ enlightenbundles array of objects top level for each eligible ai behavioral model {participant}/enlightenbundles/ name string name of enlighten bundle associated with model, will be "customer satisfaction" or "vulnerable customer" {participant}enlightenbundles/ models array of objects ordered list of analysis outputs associated with each available model from bundle {participant}/enlightenbundles/models/ name string name of model {participant}/enlightenbundles/models/ score float overall score {participant}/enlightenbundles/models/ minscore float lowest score calculated throughout interaction {participant}/enlightenbundles/models/ minscoreoffset number time of lowest score calculated throughout interaction {participant}/enlightenbundles/models/ maxscore float highest score calculated throughout interaction {participant}/enlightenbundles/models/ maxscoreoffset number time of highest score calculated throughout interaction {participant}/enlightenbundles/models/ quartile1 float score calculated across first quartile of interaction {participant}/enlightenbundles/models/ quartile2 float score calculated across second quartile of interaction {participant}/enlightenbundles/models/ quartile3 float score calculated across third quartile of interaction {participant}/enlightenbundles/models/ quartile4 float score calculated across fourth quartile of interaction {participant}/ voiceactivitysegments array of objects or null top level for each "voice" or "silence" segment {participant}/voiceactivitysegments/ starttimeoffset number start time of segment {participant}/voiceactivitysegments/ endtimeoffset number end time of segment {participant}/voiceactivitysegments/ result string type of segment, will be " voice " or " silence " // // model scores below are json structures containing the models, score ranges, and their descriptions note the lower bounds are exclusive and upper bounds are inclusive csat model scores https //archbee doc uploads s3 amazonaws com/0vouxcbqgjwuo0m1lvthe rrd5gdpy 0hltqrynrzzg 20250318 210422 json \[ { "modelname" "acknowledgeloyalty", "ranges" \[ { "lowerbound" null, "upperbound" 6 158, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 6 158, "upperbound" 2 63, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 2 63, "upperbound" 1 201, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 1 201, "upperbound" 7 954, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 7 954, "upperbound" 90 437, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "activelistening", "ranges" \[ { "lowerbound" null, "upperbound" 0 161, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 0 161, "upperbound" 4 168, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 4 168, "upperbound" 8 332, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 8 332, "upperbound" 14 129, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 14 129, "upperbound" 44 239, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "beempathetic", "ranges" \[ { "lowerbound" null, "upperbound" 1 819, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 1 819, "upperbound" 2 76, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 2 76, "upperbound" 7 965, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 7 965, "upperbound" 15 868, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 15 868, "upperbound" 92 837, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "buildrapport", "ranges" \[ { "lowerbound" null, "upperbound" 3 726, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 3 726, "upperbound" 1 102, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 1 102, "upperbound" 1 893, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 1 893, "upperbound" 8 13, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 8 13, "upperbound" 76 775, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "churn", "ranges" \[ { "lowerbound" null, "upperbound" 1 391, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 1 391, "upperbound" 0 338, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 0 338, "upperbound" 0 338, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 0 338, "upperbound" 1 208, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 1 208, "upperbound" 7 478, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "complaint", "ranges" \[ { "lowerbound" null, "upperbound" 6 531, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 6 531, "upperbound" 2 926, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 2 926, "upperbound" 0 29, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 0 29, "upperbound" 2 879, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 2 879, "upperbound" 21 566, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "demonstrateownership", "ranges" \[ { "lowerbound" null, "upperbound" 0 152, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 0 152, "upperbound" 3 976, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 3 976, "upperbound" 7 671, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 7 671, "upperbound" 12 841, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 12 841, "upperbound" 39 623, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "effectivequestioning", "ranges" \[ { "lowerbound" null, "upperbound" 0 781, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 0 781, "upperbound" 3 423, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 3 423, "upperbound" 7 412, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 7 412, "upperbound" 13 041, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 13 041, "upperbound" 45 808, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "financialdistress", "ranges" \[ { "lowerbound" null, "upperbound" 2 773, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 2 773, "upperbound" 1 098, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 1 098, "upperbound" 0 252, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 0 252, "upperbound" 0 551, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 0 551, "upperbound" 6 343, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "inappropriateaction", "ranges" \[ { "lowerbound" null, "upperbound" 1 78, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 1 78, "upperbound" 2 584, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 2 584, "upperbound" 6 414, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 6 414, "upperbound" 11 22, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 11 22, "upperbound" 37 563, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "promoteselfservice", "ranges" \[ { "lowerbound" null, "upperbound" 5 401, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 5 401, "upperbound" 1 86, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 1 86, "upperbound" 1 757, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 1 757, "upperbound" 9 594, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 9 594, "upperbound" 139 409, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "setexpectations", "ranges" \[ { "lowerbound" null, "upperbound" 3 394, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 3 394, "upperbound" 0 137, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 0 137, "upperbound" 3 358, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 3 358, "upperbound" 7 618, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 7 618, "upperbound" 24 802, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "promoteselfservice", "ranges" \[ { "lowerbound" null, "upperbound" 5 401, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 5 401, "upperbound" 1 86, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 1 86, "upperbound" 1 757, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 1 757, "upperbound" 9 594, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 9 594, "upperbound" 139 409, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "updated", "ranges" \[ { "lowerbound" null, "upperbound" 0 31, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 0 31, "upperbound" 2 489, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 2 489, "upperbound" 5 538, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 5 538, "upperbound" 8 988, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 8 988, "upperbound" 25 962, "indexscore" 10, "scoredescription" "strongly positive" } ] } ] sales effectiveness model scores https //archbee doc uploads s3 amazonaws com/0vouxcbqgjwuo0m1lvthe 7qme56lofu56jn5vbmixq 20250318 210422 json \[ { "modelname" "escalation", "ranges" \[ { "lowerbound" null, "upperbound" 0 034, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 0 034, "upperbound" 0 009, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 0 009, "upperbound" 0 148, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 0 148, "upperbound" 0 511, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 0 511, "upperbound" 31 828, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "resolution", "ranges" \[ { "lowerbound" null, "upperbound" 1 612, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 1 612, "upperbound" 0 08, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 0 08, "upperbound" 1 454, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 1 454, "upperbound" 6 443, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 6 443, "upperbound" 25 094, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "sentiment", "ranges" \[ { "lowerbound" null, "upperbound" 0 191, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 0 191, "upperbound" 0 14, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 0 14, "upperbound" 2 284, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 2 284, "upperbound" 5 471, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 5 471, "upperbound" 14 715, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "acknowledgerequest", "ranges" \[ { "lowerbound" null, "upperbound" 20 964, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 20 964, "upperbound" 9 675, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 9 675, "upperbound" 0 95, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 0 95, "upperbound" 0 218, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 0 218, "upperbound" 13 948, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "askforthesale", "ranges" \[ { "lowerbound" null, "upperbound" 1 509, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 1 509, "upperbound" 0, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 0, "upperbound" 0 968, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 0 968, "upperbound" 6 204, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 6 204, "upperbound" 38 935, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "confirmedsale", "ranges" \[ { "lowerbound" null, "upperbound" 6 792, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 6 792, "upperbound" 1 514, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 1 514, "upperbound" 0 071, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 0 071, "upperbound" 7 945, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 7 945, "upperbound" 50 349, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "demonstrateempathy", "ranges" \[ { "lowerbound" null, "upperbound" 0 164, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 0 164, "upperbound" 0 744, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 0 744, "upperbound" 4 476, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 4 476, "upperbound" 11 334, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 11 334, "upperbound" 41 605, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "demonstrateownership", "ranges" \[ { "lowerbound" null, "upperbound" 0 15, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 0 15, "upperbound" 0 783, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 0 783, "upperbound" 4 305, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 4 305, "upperbound" 11 842, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 11 842, "upperbound" 39 685, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "likelihoodtobuy", "ranges" \[ { "lowerbound" null, "upperbound" 2 495, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 2 495, "upperbound" 0 09, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 0 09, "upperbound" 1 083, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 1 083, "upperbound" 5 105, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 5 105, "upperbound" 30 162, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "makeaconnection", "ranges" \[ { "lowerbound" null, "upperbound" 2 094, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 2 094, "upperbound" 0 032, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 0 032, "upperbound" 3 395, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 3 395, "upperbound" 13 156, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 13 156, "upperbound" 67 959, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "overcomeobjections", "ranges" \[ { "lowerbound" null, "upperbound" 0 26, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 0 26, "upperbound" 0 044, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 0 044, "upperbound" 0 076, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 0 076, "upperbound" 0 585, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 0 585, "upperbound" 8 479, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "presumptiveselling", "ranges" \[ { "lowerbound" null, "upperbound" 0 071, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 0 071, "upperbound" 0 006, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 0 006, "upperbound" 0 047, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 0 047, "upperbound" 0 41, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 0 41, "upperbound" 20 069, "indexscore" 10, "scoredescription" "strongly positive" } ] }, { "modelname" "uncoverneeds", "ranges" \[ { "lowerbound" null, "upperbound" 0 022, "indexscore" 0, "scoredescription" "strongly negative" }, { "lowerbound" 0 022, "upperbound" 1 243, "indexscore" 4, "scoredescription" "moderately negative" }, { "lowerbound" 1 243, "upperbound" 6 105, "indexscore" 5, "scoredescription" "neutral" }, { "lowerbound" 6 105, "upperbound" 13 215, "indexscore" 6, "scoredescription" "moderately positive" }, { "lowerbound" 13 215, "upperbound" 42 528, "indexscore" 10, "scoredescription" "strongly positive" } ] } ]