Endpoints
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Talk to us →Dashboards & Analytics
The full analytics engine — custom charts, metrics, SQL queries, an AI analytics agent, and embeddable dashboards. Turn classified interaction data into decisions your team acts on today.
Dashboard Types
Different roles need different views. A contact center manager checking queue health at 9 AM needs different data than a VP reviewing quarterly churn metrics with the board.
Operational
Real-time KPIs for contact center managers — live call volume, queue depth, churn alerts firing right now, CSAT trend over the last 4 hours. Refreshes every 60 seconds.
Analytical
Trends over time for team leads and analysts — contact reason shifts week-over-week, seasonal patterns, the impact of a pricing change on complaint volume. Built for weekly and monthly reviews.
Executive
Summary metrics for leadership — churn saved this quarter, upsell revenue attributed to agent recommendations, NPS by segment. One screen, no drill-down required.
Embedded
White-labeled dashboards embedded in your own tools via iframe. Guest access tokens, theme-matched to your brand, no Labelf branding visible. Your team sees insights without leaving their existing workflow.
Chart Types
Every chart pulls from your classified datasets. Drag-and-drop builder for non-technical users, raw SQL for analysts who want full control.
| Chart | What it shows |
|---|---|
| Volume over time | Track interaction counts by day, week, or month — broken down by category, channel, or team. Spot spikes before they become incidents. |
| Category breakdown | Pie or stacked bar showing the distribution of contact reasons, churn signals, or sentiment across your customer base. |
| Agent comparison heatmap | Compare agent performance across categories — who handles billing complaints best, who converts upsell opportunities, where coaching is needed. |
| Root cause tree | Hierarchical drilldown from top-level categories to specific sub-issues. "Billing" breaks into "Invoice confusion", "Payment failed", "Price increase objection". |
| CSAT correlation | Scatter plots and trend lines showing how classification categories correlate with satisfaction scores. Find which issues drive low CSAT. |
| AHT by category | Average handle time segmented by contact reason. Identify which topics take longest and where knowledge base improvements would save the most time. |
SQL Engine
Every classification, every metadata field, every timestamp is queryable via standard SQL. Analysts write custom queries against their classified data — no ETL pipeline, no data engineering team required. Results render as tables or charts directly in the dashboard.
SELECT
classification AS contact_reason,
COUNT(*) AS volume,
AVG(handle_time_sec) AS avg_aht,
AVG(csat_score) AS avg_csat
FROM classified_interactions
WHERE created_at >= '2025-10-01'
AND channel = 'phone'
GROUP BY classification
ORDER BY volume DESC This query answers: "What are our top phone contact reasons this quarter, and how do they correlate with handle time and satisfaction?" — a question that typically requires a data team and a week of work.
AI Analytics Agent
Ask questions in plain language. The AI agent translates your question into SQL, runs it against your classified data, and returns a visualization with an explanation. No SQL knowledge required.
"What drove the call spike last Tuesday?"
The agent identifies that Tuesday's volume was 2.3x the daily average, driven by a 340% increase in "Service outage" classifications concentrated in the Nordics region between 08:00-12:00 — and presents this as a time-series chart with the anomaly highlighted.
"Which agents have the highest upsell conversion on fiber plans?"
Returns a ranked bar chart of agents by upsell success rate on fiber-tagged interactions, with handle time comparison — so you can see whether top performers are also faster or if they invest more time per conversation.
Embeddable Dashboards
Generate guest access tokens and embed dashboards via iframe in your own internal tools, customer portals, or executive reporting pages. Dashboards inherit your brand theming — colors, typography, logo — so they look native to your platform.
<!-- Embed in your internal tool -->
<iframe
src="https://app.labelf.ai/embed/dash_7f3a?token=guest_tk_9b2c..."
width="100%"
height="600"
frameborder="0"
/> Studio API
For teams that want to build dashboards programmatically — the Studio API lets you create charts, define metrics, assemble dashboards, and manage guest tokens through code. Useful for multi-tenant setups where each client gets their own branded analytics view.
Common Use Cases
Teams typically use dashboards to monitor churn risk in real time, track upsell opportunities across customer segments, measure agent quality scores by category, identify emerging issues before they escalate, and share weekly reports with stakeholders — all powered by the same classified data your models produce.
Available on Request
The full Dashboards & Studio API is available to enterprise customers. This includes programmatic dashboard creation, SQL query execution, AI agent access, embedding with guest tokens, and scheduled report delivery. Contact us to enable these endpoints for your workspace.