Agentic Index
Sherlocks.ai vs Wild Moose (2026)
Both correlate observability signals to find root cause and they differ on speed against accumulation, at 10 and 9.5 of 14. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Wild Moose surfaces root cause in under a minute, enterprise with on premise. Sherlocks correlates signals for response, root cause and outage prevention with institutional memory that builds over time, free for thirty investigations a month then from five hundred dollars. Wild Moose is faster today; Sherlocks should be better in six months, and it lets you find out cheaply first.
On the Agentic Index production ops ranking, neither Sherlocks.ai nor Wild Moose clears the bar, which asks for all five resolution loop capabilities documented in full. Neither documents 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. Sherlocks.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 Sherlocks.ai if
- Documented coverage is slightly broader and institutional memory compounds on your systems.
- Outage prevention alongside response is scope you want.
- Thirty free investigations a month lets you prove the quality before paying.
Choose Wild Moose if
- Sub minute root cause is the operational metric you are measured on.
- On premise deployment is a requirement.
- Enterprise scale support matters more than a low entry price.
| At a glance | Sherlocks.ai | Wild Moose |
|---|---|---|
| Category | SRE / DevOps agent | SRE / DevOps agent |
| Entry price | Free (30 investigations/mo); paid from $500/month | Contact sales; enterprise with on-premise option |
| Free / trial | Free plan (30 investigations/mo, no card) + 1 month free on paid | Beta / demo |
| Pricing confidence | public exact | contact only |
| Feature | S Sherlocks.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. |
Full / Explicit | 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. |
Partial | Partial |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Full / Explicit | 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. |
No / Not documented | No / Not documented |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Partial | 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 | S Sherlocks.ai |
W Wild Moose |
|---|---|---|
|
Entry price Lowest public entry point |
Free (30 investigations/mo); paid from $500/month | Contact sales; enterprise with on-premise option |
|
Pricing confidence How public the numbers are |
Public, exact | Contact only |
|
Billing Primary billing axis |
— | — |
|
Variable cost Workload / overage exposure |
Medium variable cost | High variable cost |
|
Free tier / trial Try before you buy |
Free tierTrial
|
No free tier
|
|
Buying motion Self-serve vs sales call |
Self-serve | Sales call |
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