PagerDuty Integration

PagerDuty Data Integration — Real-Time Incident Insights

Connect PagerDuty and let AI agents query incidents, escalations, and response times alongside customer satisfaction data from 1,000+ sources.

SOC 2 Type II
1,000+ Data Sources
Any Warehouse or BI Tool
A
Improvado Agent
Connected to PagerDuty
Show me all critical incidents from the last 7 days across our production infrastructure.
Found 23 critical incidents in the last week. Your mean time to acknowledge is 4.2 minutes, mean time to resolve is 38 minutes. Three services account for 65% of incidents: payment-gateway, auth-service, and order-processor.
Which on-call engineers had the highest incident load, and were any SLA breaches triggered?
Sarah Chen handled 8 incidents (highest load), followed by Marcus Rodriguez with 6. You had 2 SLA breaches on payment-gateway—both exceeded your 15-minute resolution target. Both occurred during peak traffic hours between 2-4 PM EST.
Trusted by data-driven teams
DockerOMDhimsillyMattelASUSActivision
1,000+
Integrations
200+
PagerDuty Fields
99.9%
SLA Uptime
<5 min
Setup
SOC 2
Type II
Improvado Key Takeaways

Connect PagerDuty to your data warehouse

Improvado extracts incident response data directly from PagerDuty's REST API without requiring manual CSV exports. The platform automatically pulls incident details, escalation policies, service metrics, and team performance data. Data refreshes run on your preferred schedule, from hourly to daily updates. Your incident management data flows continuously into your chosen destination without interruption.

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

Unified incident data across platforms

Improvado's Marketing Common Data Model standardizes PagerDuty incident data alongside your operational and business metrics. Incident response times align with application performance data from monitoring tools. Service downtime correlates with customer support tickets and revenue impact. Your team analyzes service reliability patterns across all operational data sources in one unified view.

PagerDuty REST API v2 · API key · hourly sync · incremental
Schema Overview

Data objects and fields Improvado extracts from PagerDuty

Object Fields
Incident
status urgency priority created_at resolved_at acknowledgements
Service
status escalation_policy alert_grouping incident_count mean_time_to_resolve
Alert
severity status created_at resolved_at suppressed
User
role time_zone on_call_hours incidents_assigned response_time
How it works

From connection to autonomous action in three steps

1

Connect

Connect PagerDuty using your API key from the Developer section. Grant read access to incidents, services, and schedules, plus write access for incident creation and assignment.

2

Ask

Ask questions like 'Which services had the most incidents last week?' or 'Show me all unacknowledged critical alerts' or 'What's our MTTR trend for the payment service?'

3

Act

The agent creates incidents with proper urgency levels, assigns them to on-call engineers based on escalation policies, acknowledges alerts, adds notes to active incidents, and triggers manual escalations when response times exceed thresholds.

Use Cases

What teams ask their AI agent about PagerDuty

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 →
A
Improvado Agent Analysis

Cross-platform incident analysis combining PagerDuty alerts with application monitoring data

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

6 hrs → 20 min
A
Improvado Agent Cross-channel

Service reliability reporting merging incident metrics with customer satisfaction scores

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

Manual → auto
A
Improvado Agent Reporting

Executive dashboards showing incident impact on business KPIs and revenue metrics

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

4 hrs → 10 min
AI Agent Access

Your agent doesn't just read PagerDuty — it predicts incident impact

Read

The agent reads incident history, severity levels, acknowledgment times, resolution times, service dependencies, on-call schedules, escalation policies, SLA breach records, and alert frequency patterns across all services and teams.

Write

The agent creates new incidents with specified urgency and service assignments, acknowledges existing incidents, assigns incidents to specific responders or escalation policies, adds status notes and resolution details, and triggers manual escalations to backup teams.

Monitor

The agent monitors mean time to acknowledge and resolve against your targets, watches for SLA breaches on critical services, tracks incident volume spikes that indicate systemic issues, and alerts when specific services exceed incident rate thresholds.

AI agents query incident details, escalation policies, and service metrics to answer questions like "How did last week's outages affect customer churn?" They can correlate incident response times with customer satisfaction scores, identify services with recurring issues, and generate executive dashboards showing incident impact on revenue.

Claude ChatGPT Cursor Gemini Any MCP Client
Improvado Agent · PagerDuty
You
Show me incident response metrics for our top 5 services this month
A
Service Performance
Service Incidents MTTR Change
payment-gateway 47 incidents +18% slower
auth-service 34 incidents -12% faster
order-processor 29 incidents +7% slower
inventory-sync 22 incidents -23% faster
notification-hub 18 incidents -5% faster
150 total incidents · 41 min avg MTTR · 3.8 min avg MTTA
You
Create a high-urgency incident for payment-gateway service and assign it to the primary on-call
A
Incident Created
Assigned to Sarah Chen · Escalation policy active
Destinations

Send PagerDuty data anywhere

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

SOC
SOC 2 Type II Audited data management
H
HIPAA Healthcare compliance
EU
GDPR EU data protection
CA
CCPA California privacy
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 PagerDuty 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 PagerDuty data can Improvado extract?
Improvado extracts incidents, alerts, services, escalation policies, schedules, users, and team performance metrics from PagerDuty. The integration captures incident response times, resolution data, and service reliability statistics. All historical data transfers along with ongoing incident activity.
How often does PagerDuty data sync to my warehouse?
You control the sync frequency based on your operational needs. Most teams choose hourly updates for real-time incident tracking or daily syncs for trend analysis. Improvado handles the scheduling automatically once configured.
Can I combine PagerDuty data with other monitoring tools?
Yes, Improvado normalizes PagerDuty data alongside monitoring platforms like Datadog, New Relic, and Splunk. The unified schema enables cross-platform incident analysis and comprehensive service reliability reporting. Your team sees the complete operational picture in one dashboard.
Does the integration require PagerDuty admin permissions?
You need API access permissions to connect PagerDuty with Improvado. Most integrations work with read-only API keys for data extraction. Your PagerDuty administrator can generate the necessary credentials for secure connection setup.
How does Improvado handle PagerDuty API rate limits?
Improvado automatically manages PagerDuty's API rate limits through intelligent request throttling. The platform queues data requests to stay within API boundaries while maintaining consistent data flow. Large historical data imports complete reliably without hitting rate restrictions.
What destinations work with PagerDuty data integration?
PagerDuty data flows into BigQuery, Snowflake, Redshift, Azure SQL, and other major data warehouses. Business intelligence tools like Tableau, Power BI, and Looker connect directly for incident reporting. The integration supports both cloud and on-premise destination environments.