Grafana OnCall Integration for Incident Analytics

Connect Grafana OnCall in 5 minutes. Your AI agent queries on-call schedules, escalation chains, alert groups, and incident response times—then enriches them with cross-channel context from 1,000+ marketing and analytics sources.

SOC 2 Type II 1,000+ data sources Any warehouse or BI tool

Improvado Agent

Connected to Grafana OnCall

Show me critical incidents from the last 48 hours that had escalations.

Found 12 critical incidents with escalations. Average resolution time was 47 minutes. Three incidents required secondary on-call rotation, all related to payment processing timeouts.

Create an alert rule to auto-escalate payment service incidents if not acknowledged within 10 minutes.

Alert rule created. Payment service incidents will now escalate to secondary rotation after 10 minutes without acknowledgment. Rule applies to prod-payments integration and critical severity only.

Trusted by data-driven teams

1,000+

Integrations

200+

Grafana OnCall Fields

99.9%

SLA Uptime

<5 min

Setup

SOC 2

Type II

Key Takeaways

Extract Grafana OnCall incident data automatically

Improvado connects to Grafana OnCall via API to extract incident response metrics, escalation data, and team performance statistics. Pull data on response times, resolution rates, and alert volumes without manual exports. Schedule automatic data refreshes to keep your incident metrics current in your data warehouse. Our connector handles OnCall's authentication and pagination automatically.

200+ metrics and dimensions Campaigns, ad groups, keywords, audiences, geo, device — all granularity levels from the Grafana OnCall API

15-minute refresh cycles Near real-time sync with 99.9% SLA uptime. No stale dashboards.

Cross-channel normalization Marketing CDM unifies your data with 1,000+ sources into one schema. No manual mapping.

Any warehouse or BI tool Snowflake, BigQuery, Redshift, Databricks, Power BI, Tableau, Looker Studio

AI Agent access via MCP Query, write, and monitor Grafana OnCall through Claude, ChatGPT, Cursor, or any MCP client

Enterprise-grade security SOC 2 Type II, HIPAA, GDPR, CCPA. Raw data never leaves your environment.

OAuth setup in under 5 minutes No API keys, no code, no developer setup. Schema changes handled automatically.

Zero ongoing maintenance Pagination, rate limits, API versioning — all managed. Your team focuses on analysis.

Integration Details

Normalize incident data with business metrics

Improvado transforms Grafana OnCall data using our Marketing Common Data Model for consistent reporting alongside business metrics. Incident timestamps, severity levels, and response data follow standardized formats. Combine on-call performance with marketing campaign data to understand how system issues impact revenue. Analyze correlations between incident frequency and customer acquisition costs across unified datasets.

Grafana OnCall API v1 · API key · 15-min sync · incremental

Schema Overview

Data objects and fields Improvado extracts from Grafana OnCall

Object	Fields
Alert	alert_id status created_at resolved_at severity
Incident	incident_id title status escalation_chain acknowledged_at
Escalation	escalation_policy_id step user_id notification_method delay
Integration	integration_id type name status alert_count

How it works

From connection to autonomous action in three steps

Connect

Connect Grafana OnCall using API token authentication. Generate a token with incident read/write permissions from your Grafana Cloud instance, then authorize the agent to access your on-call schedules, escalation policies, and incident history.

Ask

Ask questions like 'which incidents took longest to resolve this month' or 'show me all payment-related alerts that escalated to secondary rotation' or 'what is the current on-call engineer for the checkout service'.

Act

The agent creates alert rules, modifies escalation policies, acknowledges incidents, creates suppression windows during maintenance, adjusts on-call schedules, and configures notification routing based on incident severity and service ownership.

Use Cases

What teams ask their AI agent about Grafana OnCall

Real prompts from enterprise marketing teams. The agent reads your data, answers in seconds, and takes action when you ask.

See how teams use Improvado →

Improvado Agent Analysis

Track how system incidents affect marketing campaign performance and conversion rates

Your AI agent analyzes Grafana OnCall data and delivers actionable insights — automatically, in seconds.

4 hrs → 10 min

Improvado Agent Cross-channel

Calculate the business impact of downtime by combining incident data with revenue metrics

Your AI agent analyzes Grafana OnCall data and delivers actionable insights — automatically, in seconds.

Manual → auto

Improvado Agent Reporting

Build executive reports showing operational health alongside marketing KPIs in one dashboard

Your AI agent analyzes Grafana OnCall data and delivers actionable insights — automatically, in seconds.

8 hrs → 30 min

AI Agent Access

Your agent doesn't just read alerts—it manages on-call workflows.

Read

Reads incident history with resolution times and escalation paths, on-call schedules and rotation assignments, alert rules and routing configurations, integration status for monitoring tools, escalation policy definitions, and acknowledgment timestamps across all services.

Write

Creates and modifies alert rules with custom conditions, updates escalation policies and notification chains, acknowledges incidents and resolves alerts, configures suppression rules for maintenance windows, adjusts on-call schedules and rotation assignments, and sets up integration-specific routing logic.

Monitor

Monitors incident resolution times against SLA thresholds, tracks escalation frequency by service and severity, watches for unacknowledged critical alerts approaching escalation deadlines, detects patterns in recurring incidents, and alerts when on-call engineers miss acknowledgment windows.

Query incident metrics, update escalation policies, and monitor alert patterns through Claude, ChatGPT, Cursor, or any MCP client. Every on-call change, schedule update, and incident action is logged and governed.

Claude ChatGPT Cursor Gemini Any MCP Client

Explore MCP →

Improvado Agent · Grafana OnCall

You

Show me incidents from the last 7 days with resolution time over 1 hour

Long-Running Incidents

Incident	Service	Resolution Time
Database connection pool exhausted	checkout-api	2h 14m
Payment gateway timeout spike	payment-processor	1h 52m
Redis cluster failover	session-store	1h 38m
CDN origin server degradation	cdn-origin	1h 27m
Search index corruption	product-search	1h 11m

5 incidents · avg 1h 40m resolution · 3 required escalation

You

Create a suppression rule for Redis failover alerts during maintenance windows

Suppression Rule Created

Redis alerts muted during scheduled maintenance

Destinations

Send Grafana OnCall data anywhere

Load normalized data to your preferred warehouse, BI tool, or cloud storage. Click any destination to see its integration guide.

Snowflake → BigQuery → Redshift → Databricks → Power BI → Tableau → Looker Studio → Google Sheets → Domo → Excel → Qlik → Amazon S3 → Metabase → Grafana → PostgreSQL → Azure SQL →

SOC 2 Type II: Certified Security

HIPAA: Health Data Privacy

GDPR: EU Data Protection

CCPA: CA Privacy Standard

Compare

They extract data. Improvado deploys an agent.

Traditional tools move data from A to B. Improvado gives you an AI agent that reads, acts, and monitors — with Grafana OnCall as one of 1,000+ integrated sources.

Feature	Improvado	Supermetrics	Funnel.io	Fivetran
Data fields extracted	200+	~90	~120	~80
Total integrations	1,000+	~150	~500	~300
Cross-channel normalization (CDM)	✓ Built-in	✗ Manual	Basic mapping	✗ Raw only
AI Agent access (MCP)	✓ Read, Write, Monitor	✗	✗	✗
Data warehouse destinations	✓ 16+ warehouses & BI tools	Sheets, Looker, BigQuery	BigQuery, Snowflake, Redshift	✓ Broad warehouse support
Refresh frequency	Every 15 min	Scheduled triggers	Daily / 6hr	Every 15 min (premium)
SOC 2 Type II & HIPAA	✓	✗ SOC 2 only	✓ SOC 2	✓
Best for	Teams that want an AI agent, not a pipeline	Small teams, spreadsheets	Mid-market, data teams	Engineering-led ELT pipelines

Comparison based on publicly available documentation as of April 2026. Feature availability may vary by plan tier.

FAQ

Frequently asked questions

What Grafana OnCall data does Improvado extract?

Improvado extracts incident details, response times, escalation chains, team assignments, and resolution metrics from OnCall. This includes alert timestamps, severity levels, acknowledgment times, and resolution status. You can also pull user activity data and on-call schedule information.

How often can I refresh Grafana OnCall data?

Set refresh schedules from every 15 minutes to daily depending on your reporting needs. Real-time incident data helps you track ongoing issues and their business impact. Improvado automatically handles API rate limits and incremental data updates.

Can I combine OnCall data with marketing metrics?

Yes, Improvado normalizes OnCall incident data alongside marketing platform data in your warehouse. Analyze how system downtime correlates with campaign performance, conversion drops, or customer acquisition costs. All data follows consistent timestamp and metric formatting for easy joins.

Where can I send Grafana OnCall data?

Improvado loads OnCall data into BigQuery, Snowflake, Redshift, Azure Synapse, and other data warehouses. You can also send data to Tableau, Power BI, Looker, or custom dashboards. Choose the destination that matches your existing analytics infrastructure.

Does the integration require OnCall admin access?

You need API access permissions to extract incident and team data from Grafana OnCall. Most integrations work with read-only API keys for security. Our team can help you configure the minimum required permissions for data extraction.

How is Grafana OnCall data transformed?

Improvado standardizes incident timestamps, normalizes severity levels, and calculates response time metrics automatically. Custom fields are preserved while core metrics follow our data model. You can request additional transformations like SLA calculations or custom incident categorization.

Customer stories

See all customer stories →

“Improvado saves about 90 hours per week and allows us to focus on data analysis rather than routine data aggregation, normalization, and formatting.”

Jeff LeeHead of Social, Media Buy, Influencer & Marketing Data, ASUS

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“Improvado's reporting tool effortlessly integrates all our marketing data so we can easily track users across their entire digital journey. This saves me and my team countless hours.”

Marc CerniglioInsights & Automation Manager, Chacka Marketing

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