Agentic Index
TierZero vs Wild Moose (2026)
Both vendors last verified
TierZero and Wild Moose both investigate production issues with AI. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
TierZero auto investigates, triages and resolves production issues, with memory across incidents, from $75 per user a month, billed yearly, and a free trial. Wild Moose is an AI first responder that surfaces root cause in under a minute, working read only and running checks the customer attaches to alerts, sold through sales with an on premises option. Choose TierZero for an agent that resolves issues under approval, and Wild Moose for fast, read only first response.
On the Agentic Index production ops ranking, TierZero clears the bar and Wild Moose does not. TierZero documents all five resolution loop capabilities in full; Wild Moose does not document integrations and tool calling in full, nor human oversight and guardrails. 15 of the 38 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. TierZero 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 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose TierZero if
- The agent should resolve issues, with approval before it acts.
- Memory should persist across incidents.
- You want a published per user price and a free trial.
Choose Wild Moose if
- Root cause should surface within a minute of the page.
- The agent should stay read only and run your own checks on each alert.
- You need an on premises option.
| Feature | T TierZero |
W Wild Moose |
|---|---|---|
| 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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TierZeroIntegrations & Tool Calling The Incident Agent acts in the customer's systems with one click rollback and health validation, service restarts, feature flag toggles and pull requests with fixes. It connects through 50+ integrations, among them Datadog, PagerDuty, GitHub, AWS, GCP, Jira and Slack, and custom MCP servers add the customer's own tools. Sourcedocs.tierzero.ai/features/incident-agentread 2026-09-29 |
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Wild MooseIntegrations & Tool Calling Wild Moose connects observability tools, code repos, CI/CD pipelines and internal tools, but all integrations run strictly read only. Its agents read outside systems and report to Slack or Teams, and do not act in them. Named integrations span alerting (PagerDuty, Incident.io, Squadcast, OpsGenie, FireHydrant), observability and data (Grafana, Datadog, New Relic, Sumo Logic, Coralogix, Prometheus, Loki, Tempo, Zabbix, Snowflake, ClickHouse, Trino) and knowledge bases (Jira, Fibery, Zendesk, Confluence, Notion). SourceWild Moose, wildmoose.ai/security and /integrationsread 2026-10-05 |
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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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TierZeroWorkflow Orchestration Separate Incident, Alert, Digest, Support and CI/CD agents each run their own workflow. Customers write investigation runbooks for the Alert Agents to follow, and the Incident Agent replays a past investigation trajectory, adapted to the new incident. Sourcedocs.tierzero.ai/features/prompt-studioread 2026-09-29 |
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Wild MooseWorkflow Orchestration Micro-agents specific to each company work as a coordinated system, running investigations in parallel, and are built and managed as code. A customer describes a check, tests it and iterates on it. Triage agents start each investigation, and specialized agents deploy based on the signals they find. SourceWild Moose, wildmoose.ai/productread 2026-10-05 |
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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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TierZeroTriggers & Channel Coverage When an incident is raised, TierZero joins and starts gathering context. The Alert Agent automatically investigates every alert coming in from Datadog, Sentry, PagerDuty, Buildkite, CloudWatch and Slack, and digests run on a schedule. Sourcedocs.tierzero.ai/features/incident-agentread 2026-09-29 |
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Wild MooseTriggers & Channel Coverage When an alert fires, Wild Moose activates triage agents to run checks, pull evidence and narrow down the most likely root cause. Alerts come from PagerDuty, Incident.io, Squadcast, OpsGenie and FireHydrant, and alert enrichment takes under a minute. SourceWild Moose, wildmoose.ai/product, /integrations and wildmoose.airead 2026-10-05 |
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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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TierZeroKnowledge Grounding & RAG Investigations read logs, metrics, traces, code, deploys and runbooks at run time, and also draw on integrations such as Confluence and Notion and on Instructions and Skills that teams write. Longer lived knowledge sits in the Context Engine's knowledge graph, which works as organizational memory with a set scope, lifetime and delete path. Sourcedocs.tierzero.ai/features/context-engineread 2026-09-29 |
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Wild MooseKnowledge Grounding & RAG Each investigation gathers logs, metrics, traces and code from the connected tools at alert time, processed in memory and discarded afterward. Wild Moose says it learns the customer's infrastructure and ingests historical incident data to understand the environment, and it connects knowledge bases such as Jira, Confluence, Notion, Zendesk and Fibery. It names no index, graph or knowledge store it maintains. SourceWild Moose, wildmoose.ai, /product and /integrationsread 2026-10-05 |
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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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TierZeroMemory & State Persistence The Context Engine is organizational memory, captured automatically from Slack, incidents and code changes and also added by users. It is stored as records with type, source, confidence, linked services and full version history. Knowledge persists even as people leave, every record can be inspected, updated or deleted, and agents replay past investigation trajectories from it. Sourcedocs.tierzero.ai/features/context-engineread 2026-09-29 |
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Wild MooseMemory & State Persistence Gaps an investigation finds become new or updated micro-agents committed as a pull request. These are procedures the product runs, and Wild Moose names no memory the agents read. Processing is ephemeral with no data retention, and when Wild Moose says it learns from each incident, that learning is this update loop. Wild Moose stores no logs, metrics or other raw data. SourceWild Moose, wildmoose.ai/product and /securityread 2026-10-05 |
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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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TierZeroHuman Oversight & Guardrails Destructive actions need human approval and are recorded on a full audit trail. Rollbacks, restarts and feature flag changes run only after a person approves them with one click, and fix pull requests wait for human review. Sourcedocs.tierzero.ai/features/incident-agentread 2026-09-29 |
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Wild MooseHuman Oversight & Guardrails Integrations are strictly read only, and the agents suggest fixes for engineers to carry out, so action stays with people. Agent changes arrive as pull requests validated against past incidents and gated by the customer's code host. Wild Moose names no approval step inside the product. SourceWild Moose, wildmoose.ai/product and /securityread 2026-10-05 |
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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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TierZeroSecurity, Identity & Governance Teams sign in through SSO and SAML with Okta, Azure AD or Google Workspace. Role based access control and full audit logs are included, and SSO and RBAC start on the Pro plan. The platform is SOC 2 Type II and HIPAA compliant. Sourcetierzero.ai/pricingread 2026-09-29 |
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Wild MooseSecurity, Identity & Governance The company says it is SOC 2 Type II certified and adheres to SOC 2 standards for security, availability and confidentiality, with end to end encryption, no data retention and no training on customer data. Wild Moose names no SSO, roles or permissions model. SourceWild Moose, wildmoose.ai/securityread 2026-10-05 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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TierZeroObservability & Auditability Every AI investigation can be audited. Each incident shows a timeline, root cause findings with confidence and a five whys analysis, the agent's destructive actions are approved and recorded on a full audit trail, and investigations can be fetched through the API. Sourcedocs.tierzero.ai/features/incident-agentread 2026-09-29 |
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Wild MooseObservability & Auditability Every investigation step is visible, from the data sources queried to findings, AI reasoning and recommendations, beside a structured root cause analysis with key signals, ranked hypotheses and next steps. Each run keeps a record of what the agents queried. SourceWild Moose, wildmoose.ai/productread 2026-10-05 |
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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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TierZeroDeployment & Data Residency TierZero runs as SaaS or in a private cloud, with on premises deployment on the Enterprise plan, and a Terraform provider is available. Sourcetierzero.ai/pricingread 2026-09-29 |
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Wild MooseDeployment & Data Residency With on prem support the customer can deploy Wild Moose within its own infrastructure and control where data is processed, and hosted processing runs in memory and is ephemeral, with no data retained outside the customer's network. SourceWild Moose, wildmoose.ai/securityread 2026-10-05 |
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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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TierZeroPrebuilt Agents, Templates & Packs TierZero ships named agents that each do their own job. The Incident Agent handles root cause, remediation and post mortems, the Alert Agent investigates and groups alerts, the Support Agent answers infrastructure questions in Slack and the CI/CD Agent deals with flaky tests and the merge queue, alongside a Digest Agent. A prompt library of runbooks and instructions comes with them. Sourcetierzero.airead 2026-09-29 |
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Wild MoosePrebuilt Agents, Templates & Packs Micro-agents are checks specific to each company, built and managed as code for each customer, and the customer assembles them. Wild Moose publishes no prebuilt agents or templates. When an alert fires, triage agents run first and specialized agents follow based on what they find. SourceWild Moose, wildmoose.ai/productread 2026-10-05 |
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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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TierZeroModel Flexibility & Routing TierZero does not name its model provider, and customers cannot choose a model. Prompt Studio tunes prompts, not models. Sourcedocs.tierzero.ai/features/prompt-studioread 2026-09-29 |
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Wild MooseModel Flexibility & Routing Wild Moose names neither a model provider nor any customer model choice. It does not fine tune or train AI models on customer data. SourceWild Moose, wildmoose.ai/securityread 2026-10-05 |
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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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TierZeroAPIs, SDKs & MCP Extensibility A REST API at api.tierzero.ai, authenticated with an organization API key, creates, updates, enables and deletes alert agents and digest jobs, fetches investigations and submits questions. TierZero also runs its own MCP server at api.tierzero.ai/mcp, using OAuth 2.1 or a personal token, and offers a Terraform provider. API access is on Pro and Enterprise. Sourcedocs.tierzero.ai/references/tz_apiread 2026-09-29 |
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Wild MooseAPIs, SDKs & MCP Extensibility There is no published API, SDK or MCP server for driving Wild Moose, and there are no docs or developer pages. Customers manage micro-agents as code, but these are their own checks and do not drive the platform. Results reach teams in Slack or Microsoft Teams. SourceWild Moose, wildmoose.ai/product and /integrationsread 2026-10-05 |
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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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TierZeroTesting, Debugging & Optimization Prompt Studio lets customers test investigation runbooks against real alert payloads to see how TierZero would investigate, and compare prompt versions side by side to evaluate improvements before saving them back to agents. No scoring is described. Sourcedocs.tierzero.ai/features/prompt-studioread 2026-09-29 |
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Wild MooseTesting, Debugging & Optimization Micro-agents are tested against real past incidents. A customer describes a check, tests it against historical incidents and iterates until it performs reliably, and each new or updated agent is validated against past incidents before it runs in production. Wild Moose reports 90% accuracy within three weeks and, at Wix, root cause accuracy above 80%. SourceWild Moose, wildmoose.ai/product and wildmoose.airead 2026-10-05 |
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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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TierZeroBrowser & Computer Use Agents act through integrations, the API and MCP. Browser, desktop and computer control are not described. Sourcedocs.tierzero.ai/features/incident-agentread 2026-09-29 |
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Wild MooseBrowser & Computer Use Agents read connected tools through read only integrations. Wild Moose names no browser, desktop or computer control. Alerts arrive from tools such as PagerDuty and OpsGenie, and answers go to Slack or Teams. SourceWild Moose, wildmoose.ai/product and /integrationsread 2026-10-05 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | T TierZero |
W Wild Moose |
|---|---|---|
|
Entry price Lowest public entry point |
Starter is $75 per user a month ($900 a year) and Pro $100 per user a month ($1,200 a year). Enterprise is custom. | Contact sales; enterprise with on-premise option |
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Pricing confidence How public the numbers are |
Public, exact | Contact only |
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Billing Primary billing axis |
Per user per month with a credit allowance per user. Enterprise pools the credits across the account. | — |
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Variable cost Workload / overage exposure |
Medium variable cost | High variable cost |
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Free tier / trial Try before you buy |
No free tierTrial
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No free tier
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Buying motion Self-serve vs sales call |
Mixed | Sales call |
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Pricing verified When this pricing was last checked |
TierZero publishes per user prices, and Wild Moose sells through sales.
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