Nanonets Platform:Analytics
Track anything
about your workflows
Type a question in plain English. Analytics writes the query against your agent data and returns a chart. Save it, build a dashboard, and track usage and cost across every agent so nothing runs unchecked.
Analytics › Dashboards › AP Command Center
Days Payable Outstanding
32
Touchless Rate (STP)
94%
Discounts Captured
71%
Open Liability (GR/IR)
180
Blocked Invoices by Reason
On-Time Payment Trend
How it works
From question to insight in seconds
Example queries
No SQL. No BI tool. Ask in plain English and the right chart comes back instantly.
-- Not a black box.
-- Every answer has a query behind it.
-- Inspect it. Edit it. Build from scratch.
SELECT DATE_TRUNC('month', processed_at)
AVG(processing_time_hours) AS avg_dpo,
COUNT(*) AS invoices
FROM agent_runs
WHERE agent_id = 'ap-agent'
GROUP BY 1 ORDER BY 1
Group questions into a named dashboard and share with your team. No BI license required.
What you can measure
Business goals and AI performance, in one place
Did the workflow achieve its outcomes?
Track the operational metrics your team actually cares about: how much got done, how fast, and how much value moved through the system.
How well is the AI performing?
Monitor model confidence, exception rates, and step-level timing. Catch degradation before it becomes a problem. Full LLM call logs available for every run.
Usage
Know exactly what AI is costing
Every AI action is metered. The Usage tab shows your credit balance, projected depletion, and a full breakdown of spend by agent, step type, and time period. You can see the bill before it arrives.
- Live credit balance with projected depletion
- Cost broken down by agent and step type
- Filter by date range to isolate a specific period
- Top agents by credit spend at a glance
Billing
Track credits consumed across agents and tasks
Credit Balance
17,578 credits used
For technical teams
Natural language for everyone. SQL when you need it.
Non-technical teams get plain-language queries and instant charts. Technical teams can inspect and edit the generated SQL, browse the underlying analytics tables, and build custom queries from scratch.
- View and edit the AI-generated SQL for any question
- Browse the analytics tables your agent writes to
- Full LLM call trace log per agent run
- Export raw data for use in external BI tools
SELECT
DATE_TRUNC('month', processed_at) AS month,
COUNT(*) AS total_processed,
AVG(processing_time_hours) AS avg_hours,
SUM(CASE WHEN human_reviewed = false
THEN 1 ELSE 0 END) * 100.0 /
COUNT(*) AS automation_rate
FROM agent_runs
WHERE agent_id = 'ap-agent'
AND processed_at >= NOW() - INTERVAL '6 months'
GROUP BY 1
ORDER BY 1
Explore the platform
Analytics is one layer of the platform
See it run on your process, with your documents.
Start free. No credit card. Or talk to our team about your workflow.