Agentic Index
incident.io vs Rootly (2026)
incident.io and Rootly are both incident management platforms with an AI SRE, and they match on most of the grid, with Rootly ahead at 10.5 of 14 against 10. incident.io runs incidents in Slack and Teams with an AI investigation agent that works an incident from declaration, and publishes per user prices: a free Basic tier, Team at 19 dollars per user a month (15 billed annually) and Pro at 25, with root cause analysis from Pro. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
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. Rootly is Full on knowledge grounding and memory, where incident.io is Partial; incident.io is Full on human approval, where Rootly is Partial. Choose incident.io for a published price with approval built in; choose Rootly for an AI SRE that remembers and reasons over a graph.
On the Agentic Index production ops ranking, incident.io clears the bar and Rootly does not. incident.io documents all five resolution loop capabilities 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. incident.io 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 incident.io if
- You want to start free and see every price on the page.
- Actions should wait for documented human approval.
- Incidents should run in Slack or Teams from declaration to review.
Choose Rootly if
- The AI SRE should run on its own when a matching alert fires.
- Investigations should test competing hypotheses over a knowledge graph.
- Memory should persist per team across incidents.
| Feature | i incident.io |
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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incident.ioIntegrations & Tool Calling Alert sources cover a named catalog of monitoring, error tracking and ticketing tools. Workflow steps act in Slack and send webhooks, and Investigations query telemetry and code and open pull requests. An API and webhooks are included on the plans. Sourceincident.io help center index (alert sources, workflows), Investigations page and pricing page; docs.incident.io/workflows/getting-startedread 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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incident.ioWorkflow Orchestration Workflows run multi step automations from more than twenty triggers, with conditions on severity, role, status and message content, plus delays, loops, expressions, decision flows and webhooks, managed in the UI or Terraform. Investigations work through several hypotheses in parallel. Sourceincident.io docs, Getting started with Workflows and help center index; docs.incident.io/workflows/getting-startedread 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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incident.ioTriggers & Channel Coverage Alerts from monitoring tools page on call staff and open incidents. The moment an incident is declared, Investigations has already done a first pass. Workflows fire on incident changes, channel messages and recurring schedules, in Slack and Microsoft Teams. Sourceincident.io Investigations page and docs, Getting started with Workflowsread 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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incident.ioKnowledge Grounding & RAG Investigations draw on telemetry, code changes and past incidents for each run, and the Catalog is a maintained map of services, teams and escalation paths synced from service catalogs. No published page shows an investigation retrieving from a maintained index, and incident.io markets Nexus as having access to all context without showing how. Sourceincident.io AI SRE page and docs, Using the Catalog; docs.incident.io/catalog/catalog-setupread 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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incident.ioMemory & State Persistence Nexus Memory is a learned library of the queries that have actually worked for the customer's data sources, built from its own investigations. It is scoped to the organization, data source and kind of query and used as worked examples. incident.io curates how long entries last, and customers have no way to view, edit or delete them. Sourceincident.io docs, Memory; docs.incident.io/nexus/telemetry/memoryread 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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incident.ioHuman Oversight & Guardrails AI suggested updates, summaries and follow ups wait for a person to choose Share update, Edit before sharing or Dismiss, or Accept and set, Edit before setting or Dismiss, before they apply. Investigations never take action without the team, and the only change they make is a pull request the team merges. Role restrictions govern who may act. Sourceincident.io docs, Suggestions, and Investigations page; docs.incident.io/ai/suggestionsread 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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incident.ioSecurity, Identity & Governance Admins get SAML single sign on, SCIM provisioning that syncs roles and seats, base roles with custom permissions, team roles and role restrictions, and audit logs of configuration and permission changes. Certifications cover SOC 2 Type I and II and GDPR, and penetration test results sit in the trust center. Sourceincident.io security page and help center index (admin pages)read 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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incident.ioObservability & Auditability An investigation timeline follows the agent's reasoning from first signal to final conclusion, and every hypothesis links back to its sources. Workflow runs keep an Activity history with run time, incident and status, and incident activity log entries are available through the API. Sourceincident.io Investigations page and docs, Getting started with Workflowsread 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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incident.ioDeployment & Data Residency incident.io runs as SaaS on Google Cloud in European regions, its one named hosting sub-processor. There is no region choice, customer environment or self hosting, so the region describes incident.io's own infrastructure, not an option customers get. The Enterprise plan's multiple environments are not described as a deployment option. Sourceincident.io sub-processors page and pricing pageread 2026-09-29 |
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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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incident.ioPrebuilt Agents, Templates & Packs Six workflow templates ship in the Create workflow drawer for customers to adopt, alongside incident and escalation path templates available through the API. The docs do not list the template names. Sourceincident.io docs, Getting started with Workflows, and API reference index; docs.incident.io/workflows/getting-startedread 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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incident.ioModel Flexibility & Routing Anthropic and OpenAI are named as AI sub-processors, with zero data retention agreements. incident.io uses both internally, and customers and admins cannot choose a model. Sourceincident.io sub-processors page and AI SRE pageread 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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incident.ioAPIs, SDKs & MCP Extensibility A public REST API at api.incident.io uses bearer API keys and is published as 76 OpenAPI specifications covering incidents (list, create, edit), alerts, catalog, schedules, escalations, workflows and workflow runs. Webhooks, Terraform management of workflows and a remote MCP server sit alongside it. Sourceincident.io docs, incidents-v2 OpenAPI spec and llms.txt index; docs.incident.io/openapi/tags/incidents-v2.jsonread 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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incident.ioTesting, Debugging & Optimization incident.io backtests its agent against real historical incidents daily and alerts on any degradation before it reaches customers, a quality check it runs on its own agent, and findings carry confidence scores. Customers have no evaluation they can run on their own setup. Sourceincident.io Investigations pageread 2026-09-29 |
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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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incident.ioBrowser & Computer Use Everything runs through Slack, Teams, integrations, workflows, an API and an MCP server, with no browser, desktop or computer control. Sourceincident.io help center index and Investigations pageread 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 | i incident.io |
R Rootly |
|---|---|---|
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Entry price Lowest public entry point |
Free Basic tier; Team $19 per user per month ($15 with the annual discount); Pro $25; on call add on $10 (Team) or $20 (Pro) per user | 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, exact | Public, partial |
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Billing Primary billing axis |
seats (per user per month), tiered plus on call add on | 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 |
Low variable cost | Low variable cost |
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Free tier / trial Try before you buy |
Free tier
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No free tierTrial
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Buying motion Self-serve vs sales call |
Mixed | Sales call |
incident.io publishes all its plans; Rootly publishes its Essentials plans and prices the AI SRE through sales.
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