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NeuronLens analytics gives operations teams, sales managers, and QA leads a unified view of everything happening across your contact center — in real time and historically. Every processed call contributes to a continuously updated data set: call volumes by campaign and agent, sentiment and intent distributions, QA score trends, and flags for missed revenue and compliance risk. You query this data through the dashboard or the analytics API, and you can slice it by any combination of date range, campaign, agent, language, or disposition.

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Dashboard Overview

The NeuronLens dashboard is the primary interface for non-technical users. It opens on a summary view showing key metrics for your selected time range and lets you drill down to individual calls, agents, or campaigns. Every chart and metric in the dashboard is also available via API, so you can pull the same data into your own BI tools or data warehouse.

Call Volume Trends

View daily, weekly, or monthly call volumes broken down by campaign, agent team, or language. Spot drops or spikes instantly.

Sentiment Distribution

Track the ratio of positive, neutral, and negative calls over time — by agent, campaign, or your entire operation.

Intent Breakdown

See how customer intents are distributed: interested, callback, not interested, complaint, escalation, and custom intent labels.

Agent Leaderboards

Compare QA scores, sentiment outcomes, and compliance pass rates across agents and teams. Identify top performers and coaching targets.

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Metrics Available

MetricDescription
Total callsAll calls submitted for processing in the period
Connected callsCalls with a live conversation (filtered from no-answers and drops)
Average durationMean call length in seconds
Calls by campaignVolume broken down per Neuron campaign or uploaded batch
Calls by agentPer-agent call counts for productivity tracking
Calls by languageDistribution across language codes — useful for staffing decisions

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Querying Analytics via API

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Call-Level Analytics

curl "https://api.vinfer.ai/v1/analytics/calls?from=2024-01-01&to=2024-01-31&group_by=agent" \
  -H "Authorization: Bearer YOUR_API_KEY"

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Response Structure

{
  "period": {
    "from": "2024-01-01",
    "to": "2024-01-31"
  },
  "group_by": "agent",
  "results": [
    {
      "agent_id": "ag_001",
      "agent_name": "Priya Mehta",
      "total_calls": 412,
      "connected_calls": 389,
      "avg_duration_seconds": 214,
      "sentiment_breakdown": {
        "positive": 0.61,
        "neutral": 0.27,
        "negative": 0.12
      },
      "intent_breakdown": {
        "interested": 0.34,
        "callback_agreed": 0.22,
        "not_interested": 0.29,
        "complaint": 0.08,
        "escalation": 0.07
      },
      "avg_qa_score": 81.4,
      "missed_revenue_flags": 18,
      "risk_flags": 3
    }
  ]
}
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total_calls
integer
Total calls processed for this agent and period.
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connected_calls
integer
Calls with an actual conversation — excludes unanswered, dropped, and voicemail calls.
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avg_duration_seconds
number
Mean call duration in seconds for connected calls.
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sentiment_breakdown
object
Proportion of calls in each sentiment category. Values sum to 1.0.
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intent_breakdown
object
Proportion of calls in each intent category. Values sum to 1.0.
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avg_qa_score
number
Average QA score across all scored calls for this agent, on a 0–100 scale.
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missed_revenue_flags
integer
Number of calls where a cross-sell or upsell opportunity was detected but not acted on.
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risk_flags
integer
Number of calls with compliance or policy risk indicators.

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Available Filters

ParameterTypeDescription
fromdate (YYYY-MM-DD)Start of the analysis period
todate (YYYY-MM-DD)End of the analysis period
group_bystringAggregate by agent, campaign, language, or date
campaign_idstringFilter to a single Neuron campaign
agent_idstringFilter to a single agent
languagestringBCP-47 language code (e.g., hi-IN)
dispositionstringFilter by call disposition (e.g., connected, no_answer)
sentimentstringFilter to calls with a specific overall sentiment
intentstringFilter to calls with a specific intent label

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Searching Call History

NeuronLens indexes the full transcript of every processed call. You can search across millions of calls using free text or structured filters. 
curl "https://api.vinfer.ai/v1/calls/search?q=EMI+waiver&sentiment=negative&from=2024-01-01" \
  -H "Authorization: Bearer YOUR_API_KEY"
The search endpoint returns a list of matching calls with the relevant transcript segments highlighted, so you can jump directly to the moment in the conversation that matched your query. Use this to:
  • Investigate specific complaints or escalations at scale
  • Find calls where a particular product or offer was discussed
  • Pull examples for agent coaching or training
  • Audit calls mentioning specific regulatory terms

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Agent Coaching Insights

NeuronLens surfaces per-agent coaching recommendations directly in the dashboard under Agents → [Agent Name] → Coaching Insights. For each agent, you see:
1

Top Missed Opportunities

Calls where the customer showed buying signals (positive sentiment, interest intent) but the agent did not follow through with a cross-sell, upsell, or closure attempt.
2

Compliance Gap Summary

A breakdown of which compliance checks this agent most frequently fails — for example, not stating the loan disclosure or using informal language in a regulated context.
3

QA Score Trend

Week-over-week QA score trend so you can see whether previous coaching sessions produced measurable improvement.
4

Call Examples

Direct links to the specific calls that drove each flag — so coaching conversations are grounded in actual evidence, not anecdote.
Set up weekly analytics reports via the Reports API (POST /v1/reports/schedule) to receive a PDF or JSON summary of key metrics delivered to your inbox every Monday morning — no manual dashboard check required.