Agentic Index
incident.io vs Resolve AI (2026)
incident.io and Resolve AI approach AI in production operations from different directions and often complement rather than compete: incident.io is incident management with AI SRE included from its published Pro tier at twenty five dollars per user monthly, the coordination layer where humans declare, run, and learn from incidents, while Resolve AI is the autonomous investigation layer, enterprise quoted agents that diagnose incidents and extend into cost and development work, integrating by API and MCP. If you need the process backbone with AI assistance, incident.io is the buy; if the backbone exists and diagnosis speed is the gap, Resolve is the addition.
| At a glance | incident.io | Resolve AI |
|---|---|---|
| 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 | Contact sales; enterprise contracts, no public rates |
| Free / trial | Free Basic tier with Slack response, one on call team, and a status page | Enterprise evaluations and proofs of value through sales; no self serve trial |
| Pricing confidence | public exact | contact only |
| 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 | Partial |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Full / Explicit | Partial |
|
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 | Partial |
|
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 | No / Not documented |
| 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 | Contact sales; enterprise contracts, no public rates |
|
Pricing confidence How public the numbers are |
Public — exact | Contact only |
|
Billing Primary billing axis |
seats (per user per month), tiered plus on call add on | enterprise contract |
|
Variable cost Workload / overage exposure |
Low variable cost | Low variable cost |
|
Free tier / trial Try before you buy |
Free tierTrial
|
No free tierTrial
|
|
Buying motion Self-serve vs sales call |
Mixed | Sales call |
Choose incident.io if
- You need the incident process backbone, and AI assistance within it.
- Published per user pricing fits a straightforward procurement.
- Status pages, postmortems, and on call live in one product.
Choose Resolve AI if
- Your incident process exists; autonomous root cause speed is the missing layer.
- Enterprise agents integrated by API into current tooling fit your architecture.
- Investigation depth matters more than process tooling.