Agentic Index

Resolve AI vs Wild Moose (2026)

Both are enterprise AI SREs and they promise different things, at 9 and 9.5 of 14. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.

Resolve is the most heavily funded in the category, targeting eighty percent autonomous resolution with a multi agent parallel hypothesis team, a self learning knowledge graph and REST plus MCP APIs. Wild Moose is a first responder surfacing root cause in under a minute, enterprise with an on premise option. Resolve promises to fix; Wild Moose promises to tell you fast, and eighty percent autonomous resolution is a far larger claim than sub minute diagnosis.

On the Agentic Index production ops ranking, neither Resolve AI nor Wild Moose clears the bar, which asks for all five resolution loop capabilities documented in full. Resolve AI does not document observability and auditability in full, nor human oversight and guardrails; Wild Moose does not document observability and auditability in full. 10 of the 39 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. Resolve AI and Wild Moose 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 969 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded

Choose Resolve AI if

  • Autonomous resolution, not faster diagnosis, is the outcome you are buying.
  • A self learning knowledge graph means the system compounds across incidents.
  • REST and MCP APIs mean it reaches the rest of your tooling.

Choose Wild Moose if

  • Documented coverage is slightly broader and sub minute root cause is the metric you care about.
  • On premise deployment is a requirement your environment imposes.
  • You want diagnosis you can trust before you let anything remediate.
At a glance Resolve AI Wild Moose
Category SRE / DevOps agent SRE / DevOps agent
Entry price Contact sales; enterprise contracts, no public rates Contact sales; enterprise with on-premise option
Free / trial Enterprise evaluations and proofs of value through sales; no self serve trial Beta / demo
Pricing confidence contact only contact only
Feature
R
Resolve AI
W
Wild Moose
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.

Full / Explicit 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.

Partial 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.

Partial Partial

Deployment & Data Residency

Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting.

Partial Full / Explicit
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 Partial
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.

Full / Explicit No / Not documented

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
R
Resolve AI
W
Wild Moose

Entry price

Lowest public entry point

Contact sales; enterprise contracts, no public rates Contact sales; enterprise with on-premise option

Pricing confidence

How public the numbers are

Contact only Contact only

Billing

Primary billing axis

enterprise contract

Variable cost

Workload / overage exposure

Low variable cost High variable cost

Free tier / trial

Try before you buy

No free tierTrial
No free tier

Buying motion

Self-serve vs sales call

Sales call Sales call

Resolve's eighty percent autonomous resolution figure is a stated target rather than a measured deployment result. Ask what proportion is achieved in production accounts of your size and complexity, and what counts as resolved.

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