CallAnalytics
CallAnalytics type definition
CallAnalytics
CallAnalytics type definition
Properties
id(string): Unique identifier for the analytics record.call([[Call]]): The call being analyzed.assistant([[VapiAssistant]]): The assistant that handled the call.phoneNumber([[VapiPhoneNumber]]): Phone number used for the call.business([[Business]]): The business this call belongs to.analysisDate(number): When analysis was performed (Unix timestamp).duration(number): Total call duration in seconds.talkTime(number): Active conversation time in seconds.waitTime(number): Time customer spent waiting in seconds.silenceTime(number): Total silence duration in seconds.holdTime(number): Time on hold in seconds.assistantSpeakingTime(number): Time assistant spoke in seconds.userSpeakingTime(number): Time user spoke in seconds.talkRatio(number): Assistant to user talk ratio.interruptions(number): Number of interruptions.interruptionRate(number): Interruptions per minute.interruptedBy(string): Who interrupted more (assistant, user, balanced).responseTime(number): Average assistant response time in seconds.firstResponseTime(number): Time to first assistant response in seconds.sentiment(string): Overall call sentiment (positive, neutral, negative).sentimentScore(number): Sentiment score (-1 to 1).sentimentTrend(string): How sentiment changed (improving, declining, stable).emotionalTone(string[]): Detected emotional tones (happy, frustrated, confused, etc.).satisfactionScore(number): Customer satisfaction score (0-100).npsCategory(string): Net Promoter Score category (promoter, passive, detractor).callOutcome(string): Call result (resolved, escalated, callback, abandoned).resolution(string): How issue was resolved (self-service, assistant, human-handoff).resolutionTime(number): Time to resolution in seconds.firstCallResolution(boolean): Whether issue was resolved in first call.transferOccurred(boolean): Whether call was transferred.transferCount(number): Number of transfers.escalated(boolean): Whether call was escalated.escalationReason(string): Reason for escalation.toolsUsed(string[]): Tools executed during call.toolExecutionCount(number): Total tool executions.toolSuccessRate(number): Percentage of successful tool executions (0-100).averageToolExecutionTime(number): Average tool execution time in seconds.intents(object[]): Detected user intents with confidence scores.topics(object[]): Conversation topics with relevance scores.keywords(object[]): Extracted keywords with frequency.actionItems(number): Number of action items identified.questionsAsked(number): Number of questions asked by user.questionsAnswered(number): Number of questions answered.unansweredQuestions(number): Number of unanswered questions.audioQuality(number): Audio quality score (0-100).transcriptionAccuracy(number): Transcription accuracy (0-100).speechRecognitionErrors(number): Number of recognition errors.latencyAverage(number): Average latency in milliseconds.latencyP95(number): 95th percentile latency in milliseconds.latencyMax(number): Maximum latency in milliseconds.costTotal(number): Total call cost in cents.costPerMinute(number): Cost per minute in cents.costBreakdown(object): Cost breakdown (llm, tts, transcription, telephony).complianceFlags(string[]): Compliance issues detected.qualityFlags(string[]): Quality issues detected.improvementOpportunities(string[]): Identified areas for improvement.tags(string[]): Analytics tags for categorization.metadata(object): Custom key-value pairs for additional data.created(number): Timestamp when analytics was created (Unix timestamp).
Actions
create
Create analytics for a call.
Input: [[AnalyticsRequest]]
Output: [[CallAnalytics]]
retrieve
Retrieve analytics details.
Input: [[CallAnalytics]]
Output: [[CallAnalytics]]
update
Update analytics metadata.
Input: [[CallAnalytics]]
Output: [[CallAnalytics]]
delete
Delete analytics record.
Input: [[CallAnalytics]]
Output: [[CallAnalytics]]
analyze
Perform comprehensive call analysis.
Input: [[Call]]
Output: [[CallAnalytics]]
compareCalls
Compare analytics across multiple calls.
Input: [[ComparisonRequest]]
Output: [[ComparisonResult]]
aggregateMetrics
Aggregate metrics across time period.
Input: [[AggregationRequest]]
Output: [[AggregatedMetrics]]
identifyTrends
Identify trends in call metrics.
Input: [[TrendRequest]]
Output: [[TrendAnalysis]]
detectAnomalies
Detect unusual patterns or outliers.
Input: [[AnomalyRequest]]
Output: [[Anomaly]][]
generateInsights
Generate AI-powered insights.
Input: [[InsightRequest]]
Output: [[Insight]][]
exportReport
Export analytics report.
Input: [[ReportRequest]]
Output: [[URL]]
visualize
Generate visualization data.
Input: [[VisualizationRequest]]
Output: [[ChartData]]
Events
created: Triggered when analytics is created.updated: Triggered when analytics is modified.deleted: Triggered when analytics is deleted.analyzed: Triggered when analysis completes.Anomaly.detected: Triggered when anomaly is detected.Threshold.breached: Triggered when metric exceeds threshold.Trend.identified: Triggered when trend is identified.Insight.generated: Triggered when new insight is generated.Quality.flagged: Triggered when quality issue is flagged.Compliance.flagged: Triggered when compliance issue is flagged.