Agentic Index
Cleric vs TierZero (2026)
Both vendors last verified
Cleric and TierZero are both self serve AI SREs with published prices and memory across investigations. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Cleric verifies each change after merge against live production, investigates alerts read only and hands fix pull requests to engineers, on credit plans from $700 a month on Team. TierZero auto investigates, triages and resolves production issues, from $75 a user a month billed yearly, with a free trial. Choose Cleric to verify changes after merge without handing the agent write access, and TierZero for an agent that resolves issues under approval.
On the Agentic Index production ops ranking, TierZero clears the bar and Cleric does not. TierZero documents all five resolution loop capabilities in full; Cleric does not document workflow orchestration 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. Cleric and TierZero 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 Cleric if
- Every change should be verified against live production after it merges.
- The agent should stay read only and hand fixes to engineers.
- Pricing by credits suits how your alert volume varies.
Choose TierZero if
- The agent should resolve issues, not only investigate them, with approval before it acts.
- Prompts and changes should be compared side by side before they go live.
- Per user pricing suits how you budget.
| Feature | C Cleric |
T TierZero |
|---|---|---|
| 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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ClericIntegrations & Tool Calling Cleric has named integrations across observability, infrastructure, code and documentation (AWS, Azure, Datadog, Grafana, PagerDuty, Slack, Atlassian, GitHub), with scoped access for each. The agent runs its own commands and queries against them and opens pull requests with fixes. Sourcecleric.airead 2026-09-29 |
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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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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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ClericWorkflow Orchestration One investigating agent plans tasks, runs queries and adjusts its plan. Custom agents are a name plus a free text prompt fired by a trigger, with no steps, branching or handoffs between agents, and the built in investigate agent cannot be edited. Sourcedocs.cleric.ai/setup/agents-and-triggersread 2026-09-29 |
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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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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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ClericTriggers & Channel Coverage Agents fire on bot messages posted in Slack channels that match trigger keywords (alert bots such as PagerDuty and Datadog) and on recurring cron schedules, and change verification follows each change after merge. Scheduled agents and monitors are on the Pro plan. Sourcedocs.cleric.ai/setup/agents-and-triggersread 2026-09-29 |
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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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| 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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ClericKnowledge Grounding & RAG Documentation integrations (Atlassian, GitHub) let the agent search and retrieve documentation during investigations, and customers add Global Guidance in settings. Context is assembled for each run, and there is no maintained index over the customer's documents. Sourcedocs.cleric.ai/setup/providing-contextread 2026-09-29 |
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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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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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ClericMemory & State Persistence Memories are facts Cleric proposes from conversations or users add with '@Cleric Remember', organized by service and environment, searched automatically during investigations, kept until deleted or removed by automatic cleanup when stale or contradicted, and viewable, editable and deletable in the Knowledge section. Sourcedocs.cleric.ai/learning/memoriesread 2026-09-29 |
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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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| 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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ClericHuman Oversight & Guardrails Access is read only, enforced by RBAC and access scopes. Cleric does not make changes to customer infrastructure but may propose them, and all remediation actions are performed by the customer's team. People keep the decisions, and the agent's reach is scoped. Fix pull requests are approved in the customer's own code host. The approve button in the homepage mockup is not explained as a Cleric approval step. Sourcedocs.cleric.ai/security/security-data-privacyread 2026-09-29 |
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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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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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ClericSecurity, Identity & Governance Customers control access through RBAC and access scopes for each integration, and code access can be limited to one repository. Every plan has Google Workspace sign in, and Pro adds Okta, custom SAML or OIDC and an organization audit log. Cleric holds SOC 2 Type II, has a Trust Center and runs annual penetration testing, with AES-256 encryption at rest. Sourcedocs.cleric.ai/security/security-data-privacyread 2026-09-29 |
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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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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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ClericObservability & Auditability Each investigation keeps an activity log recording the plan, the tools used, the specific commands and queries executed, the raw output from each tool and the reasoning behind conclusions, viewable in the web app. Retained investigation data includes queries, reasoning traces and cited evidence. Sourcedocs.cleric.ai/usage/reviewing-the-activity-logread 2026-09-29 |
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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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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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ClericDeployment & Data Residency EU hosted instances run the application, database and model inference in Europe, beside the default GCP hosting, and Enterprise offers custom data retention and region. Operational logs, traces and product analytics are still processed centrally in the US. A private network connector reaches private resources but does not change where Cleric runs. Sourcedocs.cleric.ai/security/eu-hosting-data-processingread 2026-09-29 |
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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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| 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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ClericPrebuilt Agents, Templates & Packs One built in investigate agent ships and cannot be edited. Further agents are ones the customer writes as a name and a prompt, and there is no template or agent catalog. Sourcedocs.cleric.ai/setup/agents-and-triggersread 2026-09-29 |
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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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| 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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ClericModel Flexibility & Routing Cleric names Anthropic, Google Gemini and OpenAI as its model providers, under zero training and zero retention terms. Cleric uses them internally, and customers and admins cannot choose a model. Sourcedocs.cleric.ai/security/security-data-privacyread 2026-09-29 |
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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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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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ClericAPIs, SDKs & MCP Extensibility Outside callers drive Cleric through its own MCP server, on every plan. It has a per tenant endpoint at <company>.app.cleric.ai/mcp, bearer authentication with personal API keys and an enumerated tool list, and its create_issue tool starts a new investigation, a core platform object. There is no REST API or SDK. Sourcedocs.cleric.ai/integrations/mcpread 2026-09-29 |
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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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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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ClericTesting, Debugging & Optimization A learning loop calibrates the agent through explicit feedback (1 to 5 message ratings and corrections), implicit feedback from actions taken, and analysis of past investigations. There is no evaluation harness, scored test or quality metric for findings. Change verification tests the customer's releases, not the agent. Sourcedocs.cleric.ai/learning/how-cleric-learnsread 2026-09-29 |
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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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| 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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ClericBrowser & Computer Use Work runs through scoped integrations, commands and queries, Slack and an MCP server, with no browser, desktop or computer control. Sourcedocs.cleric.ai/usage/reviewing-the-activity-logread 2026-09-29 |
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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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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | C Cleric |
T TierZero |
|---|---|---|
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Entry price Lowest public entry point |
From $700 per month on Team, with 1,400 credits. Pro is $2,000 and Enterprise is custom. | Starter is $75 per user a month ($900 a year) and Pro $100 per user a month ($1,200 a year). Enterprise is custom. |
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Pricing confidence How public the numbers are |
Public, exact | Public, exact |
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Billing Primary billing axis |
Monthly credit plans. A change verification or an investigation draws 10 credits and chat 1 credit per minute, and Enterprise runs on a custom annual credit pool. | 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 | Medium variable cost |
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Free tier / trial Try before you buy |
No free tierTrial
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No free tierTrial
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Buying motion Self-serve vs sales call |
Mixed | Mixed |
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Pricing verified When this pricing was last checked |
Both publish prices: Cleric by credits, TierZero per user.
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