Agentic Index
PagerDuty vs Rootly (2026)
PagerDuty and Rootly tie on the grid at 10.5 of 14, and both run AI agents inside incident management. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
PagerDuty's SRE, Scribe, Shift and Insights agents triage, document, cover shifts and analyze incidents, with approval before remediation and service scoped memory, free for five users and 25 dollars per user a month on Professional. Rootly's AI SRE runs on matching alerts, tests competing hypotheses over a knowledge graph with a logged tool call trail, and keeps team scoped memory; its Essentials plans are 20 dollars per user a month each, with the AI SRE through sales. PagerDuty is Full on human approval and Partial on deployment, where Rootly is Partial and None; Rootly is Full on memory and Partial on model choice, where PagerDuty is Partial and None. Choose PagerDuty for approval before remediation; choose Rootly for memory that carries across a team's incidents.
On the Agentic Index production ops ranking, neither PagerDuty nor Rootly clears the bar, which asks for all five resolution loop capabilities documented in full. PagerDuty does not document observability and auditability in full; Rootly does not document human oversight and guardrails in full. 14 of the 37 vendors in the lane clear it. See the production ops ranking
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. PagerDuty and Rootly are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 955 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose PagerDuty if
- Remediation should wait for documented approval.
- You want named agents for documentation, shift coverage and analysis as well as triage.
- Deployment options matter; PagerDuty documents more of them.
Choose Rootly if
- The AI SRE should test competing hypotheses and log every tool call.
- Memory should persist per team across incidents.
- Model choice matters; Rootly discloses more of it.
| Feature | P PagerDuty |
R Rootly |
|---|---|---|
| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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PagerDutyIntegrations & Tool Calling Paige, the SRE Agent, reaches connected observability and documentation sources (Grafana, Datadog, New Relic, AWS CloudWatch, Confluence, GitHub) through connectors and tools. It adds incident notes and offers a code revert connector, on a platform whose events arrive from monitoring integrations. Sourcesupport.pagerduty.com/main/docs/connectors-tools-and-skillsread 2026-09-29 |
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RootlyIntegrations & Tool Calling AI SRE tests hypotheses through tool calls to connected observability, cloud and code tools (Datadog, Grafana, New Relic, Dynatrace, Sumo Logic, AWS, Google Cloud, GitHub). Custom tools and a Private Agent can change state where exposed, and workflow actions act in Slack and other systems. Sourcedocs.rootly.com/ai/ai-sre/overviewread 2026-09-29 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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PagerDutyWorkflow Orchestration Incident workflows and escalation policies route and run the incident lifecycle. Paige can be deployed inside them as a virtual responder beside the Scribe, Shift and Insights agents, each working its own part of the incident. Sourcesupport.pagerduty.com/main/docs/sre-agentread 2026-09-29 |
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RootlyWorkflow Orchestration Workflows combine trigger events, run conditions and sequenced actions with waits and repeats across six types (incident, alert, action item, pulse, retrospective, standalone), and AI SRE runs an evidence first loop that tests competing hypotheses through many tool calls before a verdict. Sourcedocs.rootly.com/workflows/workflowsread 2026-09-29 |
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Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
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PagerDutyTriggers & Channel Coverage Incidents trigger from monitoring events and page responders, and the Shift Agent automatically detects conflicts between time off and on-call shifts. Paige runs from Slack, Teams and the incident page, with automatic start on incident trigger as a virtual responder in Early Access. Sourcepagerduty.com/platform/ai-agentsread 2026-09-29 |
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RootlyTriggers & Channel Coverage Investigations start when an incident is created or when an investigation rule set to Auto-run matches an alert as it arrives, with no person involved. Alert and incident workflows fire on trigger events and schedules, across Slack, Teams, web and mobile. Sourcedocs.rootly.com/ai/ai-sre/overviewread 2026-09-29 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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PagerDutyKnowledge Grounding & RAG A Customer Service Runbook store keeps the customer's documentation per service for Paige. During triage Paige also reads historical and related incidents, change events and connected Confluence and GitHub sources. Sourcesupport.pagerduty.com/main/docs/sre-agentread 2026-09-29 |
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RootlyKnowledge Grounding & RAG The Atlas knowledge graph persists services, datastores, cloud resources and their dependencies, built from catalogs, infrastructure as code, cloud platforms and observability tools, refreshed on connector or catalog changes and daily, and AI SRE reads the graph during investigations. Sourcedocs.rootly.com/ai/atlas/knowledge-graphread 2026-09-29 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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PagerDutyMemory & State Persistence The memory Paige keeps holds an incident playbook learned from history, plus incident summaries and service profiles it observed, scoped to a given PagerDuty service. Customers can view, update and redact it through the Paige Memory API. PagerDuty gives no retention period or lifetime for it. Sourcesupport.pagerduty.com/main/docs/sre-agentread 2026-09-29 |
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RootlyMemory & State Persistence Atlas Memory holds context notes that AI SRE proposes from its runs and an Owner or Admin activates. Notes are scoped to a team, so investigations on other teams cannot recall them. They do not expire, can be edited, deprecated or quarantined, and are recalled only when Active as hypotheses to check. Sourcedocs.rootly.com/ai/atlas/memoryread 2026-09-29 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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PagerDutyHuman Oversight & Guardrails The SRE Agent performs approved remediation, and Paige offers its actions as nudges a responder clicks to run (update runbook, check change events, search logs, update memory). Its automatic skills use read only tools. Sourcepagerduty.com/platform/ai-agentsread 2026-09-29 |
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RootlyHuman Oversight & Guardrails The customer constrains AI SRE by the tools it exposes and by Private Agent local policy, but Rootly warns not to treat AI SRE as read-only. Custom tools and private agent operations run without a confirmation step, results carry no approval buttons, and changes go through the customer's own review. Sourcedocs.rootly.com/ai/ai-sre/overviewread 2026-09-29 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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PagerDutySecurity, Identity & Governance Single sign on comes with Professional, and every PD Reliability Platform tier adds team based organizing with advanced permissions and audit trail reporting. PagerDuty holds SOC 2 Type II, ISO 27001 and FedRAMP Low, with reports available through assurance.pagerduty.com. Sourcepagerduty.com/securityread 2026-09-29 |
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RootlySecurity, Identity & Governance Access controls include granular RBAC across incident roles, services, teams and components, SSO and SAML on Essentials, and SCIM and audit logs on Enterprise. Compliance covers AICPA SOC 2 Type 2, HIPAA, GDPR and CCPA. Sourcerootly.com/securityread 2026-09-29 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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PagerDutyObservability & Auditability The incident timeline shows timestamps of each incident status along with all actions taken and notifications sent from the incident, filterable by event and action. Paige records its findings as incident notes. The agent's own tool calls are not shown. Sourcesupport.pagerduty.com/main/docs/incidentsread 2026-09-29 |
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RootlyObservability & Auditability Each AI SRE result keeps an Investigation path of hypotheses confirmed or ruled out, the query sent and result returned for every tool call, and evidence cards with sources, and finished reports stay as written. Sourcedocs.rootly.com/ai/ai-sre/reading-the-resultread 2026-09-29 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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PagerDutyDeployment & Data Residency Customers choose a United States or European Union service region at signup. US accounts run in AWS US West (Northern California and Oregon) and US East (Ohio), and EU accounts in AWS EU Central (Frankfurt) and EU West (Ireland). Application logs, product analytics, support, billing and Global User Profile data may be processed outside the chosen region. PagerDuty does not say where the AI agents' model processing runs, and there is no on premises or self hosted option. Sourcesupport.pagerduty.com/main/docs/service-regionsread 2026-09-30 |
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RootlyDeployment & Data Residency Rootly runs entirely on AWS, with no region named or selectable. The Private Agent and Edge Connector run in the customer's network only to give the cloud service outbound access, and their results enter Rootly's systems. Sourcedocs.rootly.com/configuration/subprocessorsread 2026-09-29 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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PagerDutyPrebuilt Agents, Templates & Packs Four named agents ship, each for its own job. The SRE Agent handles triage, diagnosis and approved remediation, Scribe captures meetings, Shift resolves on call coverage conflicts, and Insights provides analysis and recommendations. Skills are customer written. Sourcepagerduty.com/platform/ai-agentsread 2026-09-29 |
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RootlyPrebuilt Agents, Templates & Packs Three separately sold products each do their own job, Incident Response, On-Call and AI SRE, and AI SRE is offered for use with Rootly or standalone, so each stands on its own. There is no workflow template library. Sourcerootly.com/pricingread 2026-09-29 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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PagerDutyModel Flexibility & Routing Outputs come from certain LLM providers, named only in an AI disclosure on the assurance portal. Customer choice in Generative AI features is promised but not shipped, so customers cannot choose a model today. Sourcesupport.pagerduty.com/main/docs/pagerduty-advanceread 2026-09-29 |
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RootlyModel Flexibility & Routing OpenAI, Anthropic and Amazon Bedrock are named for inference, with Braintrust as an AI gateway routing LLM requests. That is multi provider routing inside Rootly, and customers cannot choose a model. Sourcedocs.rootly.com/configuration/subprocessorsread 2026-09-29 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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PagerDutyAPIs, SDKs & MCP Extensibility PagerDuty publishes a public developer API reference at developer.pagerduty.com, including the Paige Memory API to view, update and redact agent memory. Skills can also be created through the PagerDuty Claude plugin. Sourcesupport.pagerduty.com/main/docs/sre-agentread 2026-09-29 |
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RootlyAPIs, SDKs & MCP Extensibility A REST API at api.rootly.com/v1 (JSON:API) with bearer API keys or OAuth 2.0 covers incidents, alerts, schedules and escalation policies, alongside a Chat API for AI, a downloadable OpenAPI specification, official SDKs and a Rootly MCP server. Sourcedocs.rootly.com/api-reference/overviewread 2026-09-29 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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PagerDutyTesting, Debugging & Optimization Responders rate the answers of Paige, the SRE agent, with thumbs up or down through a Rate AI Response button, which PagerDuty says helps improve the product and future recommendations. That feedback loop comes without a stated mechanism or measure, and there is no evaluation harness, scored test cases or quality gate the customer runs against the agent. PagerDuty's engineering posts on how it evaluates its own agent describe vendor QA of its own product. Sourcesupport.pagerduty.com/main/docs/sre-agentread 2026-09-30 |
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RootlyTesting, Debugging & Optimization Users rate each result on how accurate the investigation was and add comments, and reruns create new investigations beside the old ones, but a rating does not change the report, and there is no evaluation harness, scored test set or learning loop. Rootly AI Labs benchmarks are the vendor's own research. Sourcedocs.rootly.com/ai/ai-sre/overviewread 2026-09-29 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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PagerDutyBrowser & Computer Use Agents work through connectors, tools, incident workflows and chat. There is no browser, desktop or computer control. Sourcesupport.pagerduty.com/main/docs/connectors-tools-and-skillsread 2026-09-29 |
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RootlyBrowser & Computer Use Work runs through tool calls, workflows, a Private Agent, an API and an MCP server, with no browser, desktop or computer control. Sourcedocs.rootly.com/ai/ai-sre/overviewread 2026-09-29 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | P PagerDuty |
R Rootly |
|---|---|---|
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Entry price Lowest public entry point |
Free for 5 users. Professional is $25 per user per month ($21 billed annually), and the PD Reliability Platform starts at $2,800 a year (Starter, 10 seats). | Incident Response Essentials and On-Call Essentials at $20 per user per month each. Enterprise and AI SRE are quoted through sales. |
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Pricing confidence How public the numbers are |
Public, partial | Public, partial |
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Billing Primary billing axis |
Per user per month on Professional. The PD Reliability Platform tiers carry an annual platform fee with seats and Signal Intelligence Events and include AI actions, while PagerDuty Advance is an add on for Professional. | Seats, per user per month, for Incident Response and On-Call, with each product priced separately. Enterprise tiers and AI SRE are custom priced, per product or bundled. |
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Variable cost Workload / overage exposure |
Medium variable cost | Low variable cost |
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Free tier / trial Try before you buy |
Free tierTrial
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No free tierTrial
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Buying motion Self-serve vs sales call |
Mixed | Sales call |
Both publish per user prices for their core plans; Rootly prices its AI SRE through sales.
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