Agentic Index
incident.io vs PagerDuty (2026)
incident.io versus PagerDuty is the challenger versus incumbent question in incident response: incident.io publishes clean per user pricing (free Basic, Team at nineteen dollars monthly, Pro at twenty five with AI SRE included, on call add on at twelve to twenty dollars), a modern Slack native experience that bundles the AI capabilities into known tiers, while PagerDuty offers a free small team plan with Professional from about twenty one dollars per user monthly and Business and Enterprise above, layering PagerDuty Advance AI agents through a separately metered credit model. incident.io is the predictable modern bundle; PagerDuty is the proven platform whose AI costs need modeling through credits.
| At a glance | incident.io | PagerDuty |
|---|---|---|
| Category | SRE / DevOps agent | SRE / DevOps agent |
| Entry price | Free Basic tier; Team nineteen dollars per user monthly (fifteen annually); Pro twenty five; on call add on twelve to twenty dollars per user | Free plan for small teams, then paid incident management from around twenty one dollars per user each month for Professional, with Business and Enterprise above it |
| Free / trial | Free Basic tier with Slack response, one on call team, and a status page | Free plan for a small team, plus a free trial of paid features |
| Pricing confidence | public exact | public partial |
| Feature | ||
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Full / Explicit | Full / Explicit |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Full / Explicit | Full / Explicit |
|
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. |
Full / Explicit | Full / Explicit |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
Partial | Full / Explicit |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
Partial | Full / Explicit |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Full / Explicit | Full / Explicit |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Full / Explicit | Full / Explicit |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Full / Explicit | Full / Explicit |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Partial | Partial |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
Full / Explicit | Full / Explicit |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
No / Not documented | No / Not documented |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Partial | Full / Explicit |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
No / Not documented | Partial |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
No / Not documented | No / Not documented |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | ||
|---|---|---|
|
Entry price Lowest public entry point |
Free Basic tier; Team nineteen dollars per user monthly (fifteen annually); Pro twenty five; on call add on twelve to twenty dollars per user | Free plan for small teams, then paid incident management from around twenty one dollars per user each month for Professional, with Business and Enterprise above it |
|
Pricing confidence How public the numbers are |
Public — exact | Public — partial |
|
Billing Primary billing axis |
seats (per user per month), tiered plus on call add on | per user per month for incident management tiers, with AI agents metered via a credit model |
|
Variable cost Workload / overage exposure |
Low variable cost | Medium variable cost |
|
Free tier / trial Try before you buy |
Free tierTrial
|
Free tierTrial
|
|
Buying motion Self-serve vs sales call |
Mixed | Mixed |
Choose incident.io if
- AI SRE bundled in a published tier beats metered AI credits for budgeting.
- A Slack native modern experience matches how your team works.
- Consolidating incident management and on call under one transparent bill appeals.
Choose PagerDuty if
- PagerDuty's ecosystem, integrations, and operational maturity derisk the choice.
- Your organization already runs PagerDuty and inertia has real value.
- Enterprise scale event intelligence and routing depth matter at your size.