--- title: Get CX AI Insights slug: tutorials/get-cx-ai-insights description: Learn how to retrieve CX AI analysis outputs using a unique interaction identifier with this document. Discover the comprehensive JSON response that includes scores, quartiles, and voice activity segments. Explore code examples, HTTP status responses, and docTags: createdAt: 2022-06-14T17:57:28.000Z --- # // Overview Leveraging the unique `interactionIdentifier` provided upon successfully declaring the [audio](docId\:PqLj1vqO7gTf0iqj1LBVN), [chat](docId\:iD41ifX7uC0RZDlb7RbtO) or [transcription](docId:8OMp8XUfyRY9gaB1YIvul) interaction, the **CX AI endpoint **lets you instantly retrieve [CX AI feature](docId\:ZATcqMNsVApZs9WWKgeCn) outputs. When this `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). :::CodeblockTabs Sample API Response (Truncated) ```json { "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 with troubleshooting.](https://docs.elevateai.com/#Qofti) *** # // Request Parameters & Code Examples :::ApiMethodV2 ```json { "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": " '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" }, "autoGeneratedAnchorSlug": "retrieve-a-punctuated-transcript", "legacyHash": "ltEawZTQ4OznFowi3nCgc" } ``` ::: *** # // Response Schema ## Schema | **Element** | **Type** | **Description** | | --------------------------------------------------------- | ------------------------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | **\{participant}** | object | Top level for [speaker label](https://docs.elevateai.com/transcription-features#fDLGr), 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 ::File{src="https://api.archbee.com/api/presign/0vouXCbqGjWUO0m1lvThe-rrD5GDpy_0hlTqRynRZzg-20250318-210422.json" label="CSATModelScores_v2.json"} ```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 ::File{src="https://api.archbee.com/api/presign/0vouXCbqGjWUO0m1lvThe-7qme56LOFu56jn5VbMiXq-20250318-210422.json" label="SalesEffectivenessModelScores_v2.json"} ```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" } ] } ] ``` **Need more help?** Contact the [ElevateAI Support team](mailto\:support@elevateai.com).