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 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 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 // // request parameters & code examples tab examples url https api elevateai com v1 interactions interactionidentifier ai name retrieve a punctuated transcript method get request pathparameters kind required name interactionidentifier type string description interactionidentifier returned upon successfully declaring the interaction queryparameters headerparameters kind required name x api token type string description valid api key associated with your account for authentication and usage tracking kind optional name accept encoding type string description recommended for bandwidth optimization will be gzip deflate br bodydataparameters formdataparameters results languages id wov v6skqlwseavef84vd code n allparticipants n enlightenbundles n n name string n models n n name string n score number n minscore number n minscoreoffset number n maxscore number n maxscoreoffset number n quartile1 number n quartile2 number n quartile3 number n quartile4 number n n n n n voiceactivitysegments n n starttimeoffset number n endtimeoffset number n result string n n n n participantone n enlightenbundles n n name string n models n n name string n score number n minscore number n minscoreoffset number n maxscore number n maxscoreoffset number n quartile1 number n quartile2 number n quartile3 number n quartile4 number n n n n n voiceactivitysegments n n starttimeoffset number n endtimeoffset number n result string n n n n participanttwo n enlightenbundles n n name string n models n n name string n score number n minscore number n minscoreoffset number n maxscore number n maxscoreoffset number n quartile1 number n quartile2 number n quartile3 number n quartile4 number n n n n n voiceactivitysegments n n starttimeoffset number n endtimeoffset number n result string n n n n language 200 customlabel id ypthsxrc k8r4z ys8dyf code n errormessage string n language 401 customlabel id cnnwssw8rcabnp3vrvm75 code r n errormessage string r n language 404 customlabel selectedlanguageid wov v6skqlwseavef84vd examples languages id mvypojsomedfbiykydzmk code curl location g request get https api elevateai com v1 interactions interctionidentifier ai n header x api token your api token n header content type application json n header accept encoding gzip deflate br language curl customlabel id yv chbnqxb5bvb1s8bran code var request require request ; nvar options n method get n url https api elevateai com v1 interactions interctionidentifier ai n headers n x api token your api token n content type application json n accept encoding gzip deflate br n n ; nrequest options function error response n if error throw new error error ; n console log response body ; n ; n language nodejs customlabel id xogqasie93pggzimhomxf code var myheaders new headers ; nmyheaders append x api token your api token ; nmyheaders append content type application json ; nmyheaders append accept encoding gzip deflate br ; n nvar requestoptions n method get n headers myheaders n redirect follow n ; n nfetch https api elevateai com v1 interactions interctionidentifier ai requestoptions n then response response text n then result console log result n catch error console log error error ; language javascript customlabel id slhowhviy8rm3cgzizyop code import http client nimport json n nconn http client httpsconnection api elevateai com npayload nheaders n x api token your api token n content type application json n accept encoding gzip deflate br n nconn request get v1 interactions interctionidentifier ai payload headers nres conn getresponse ndata res read nprint data decode utf 8 language python customlabel id mwbl7qxk3ml nottihixq code require uri nrequire json nrequire net http n nurl uri https api elevateai com v1 interactions interctionidentifier ai n nhttps net http new url host url port nhttps use ssl true n nrequest net http get new url nrequest x api token your api token nrequest content type application json nrequest accept encoding gzip deflate br n nresponse https request request nputs response read body n language ruby customlabel id ct211nnsbjpxfi bppuel code var client new restclient https api elevateai com v1 interactions interctionidentifier ai ; r nclient timeout 1; r nvar request new restrequest method get ; r nrequest addheader x api token your api token ; r nrequest addheader content type application json ; r nrequest addheader accept encoding gzip deflate br ; r nirestresponse response client execute request ; r nconsole writeline response content ; language csharp customlabel id rzv6ygdtkhptdopbyisvu code ?php r n r n curl curl init ; r n r ncurl setopt array curl array r n curlopt url https api elevateai com v1 interactions 7binterctionidentifier 7d ai r n curlopt returntransfer true r n curlopt encoding r n curlopt maxredirs 10 r n curlopt timeout 0 r n curlopt followlocation true r n curlopt http version curl http version 1 1 r n curlopt customrequest get r n curlopt httpheader array r n x api token your api token r n content type application json r n accept encoding gzip deflate br r n r n ; r n r n response curl exec curl ; r n r ncurl close curl ; r necho response; r n language php customlabel selectedlanguageid mwbl7qxk3ml nottihixq description get ai results by id currentnewparameter label header parameter value headerparameters // // response schema schema element type description {participant} object top level for speaker label , identifying whether output was determined based on speech across allparticipants or participantone and/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 \[ { "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 \[ { "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" } ] } ]