Agentic Index
Cleric vs NeuBird (2026)
Cleric and NeuBird are both AI SREs that investigate alerts without changing production on their own, and NeuBird leads the grid, 11 of 14 against 10. 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 read only and hands fix pull requests to engineers, with memories that carry context between investigations, on credit plans from 100 dollars a month. NeuBird investigates across more than 50 tools in place, gates write access behind approval, lets the customer govern model routing and ships an MCP server, on custom credit pricing with a 14 day trial. NeuBird is Full on human approval, model choice and evaluation, where Cleric is Partial; Cleric is Full on memory, where NeuBird is Partial. Choose Cleric for verification after merge and persistent memory at a published price; choose NeuBird for approval gated action and model routing you govern.
On the Agentic Index production ops ranking, neither Cleric nor NeuBird clears the bar, which asks for all five resolution loop capabilities documented in full. Cleric does not document workflow orchestration in full, nor human oversight and guardrails; NeuBird does not document workflow orchestration in full. 14 of the 37 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 NeuBird 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 955 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.
- Context should carry from one investigation to the next.
- You want a published price, from 100 dollars a month.
Choose NeuBird if
- Write access should exist, but only behind approval.
- Your team should govern which models the agents use.
- A documented evaluation method matters; NeuBird is Full on evaluation.
| Feature | C Cleric |
N NeuBird |
|---|---|---|
| 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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NeuBirdIntegrations & Tool Calling NeuBird queries more than 50 named integrations in place, including Datadog, AWS, Azure, Google Cloud, PagerDuty, Dynatrace, Splunk, Snowflake, Grafana, GitHub, GitLab, OpenShift, MongoDB and Redis, with Jira and ServiceNow incident workflows. Connections are created and scoped per project. Sourceneubird.airead 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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NeuBirdWorkflow Orchestration Triage, investigation, analyst, cluster and discovery agents run as stages of NeuBird's own investigation pipeline, correlating evidence across integrations in parallel. No builder, branching or agent coordination that customers control is described. Sourceneubird.ai/pricingread 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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NeuBirdTriggers & Channel Coverage PagerDuty alerts come in and are triaged by the included Triage Agent, with unlimited alerts always included, and Slack channels surface production issues. Engineers also start investigations from Slack, the desktop app, the terminal or MCP. Sourceneubird.ai/pricingread 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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NeuBirdKnowledge Grounding & RAG The agent queries raw metrics, events, logs and traces directly across all of the customer's observability tools, with no telemetry stored, so context is assembled for each run. No maintained index over the customer's knowledge is described. Sourcedocs.neubird.ai/concepts/overviewread 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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NeuBirdMemory & State Persistence Every investigation and approved fix becomes institutional memory, kept as conclusions with no telemetry stored, and surfaces automatically on related symptoms. No scope, lifetime or delete path for that memory is published. Sourceneubird.airead 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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NeuBirdHuman Oversight & Guardrails Under Earned Write Access, every action waits for a human approval, and the audit trail shows who gave it. Autonomy moves through Suggest, Recommend and Act tiers, high risk actions need human confirmation before they run, and autonomy levels can be set per environment. Sourceneubird.ai/securityread 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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NeuBirdSecurity, Identity & Governance Role based access control gives agents access only to the systems and actions explicitly granted to them, and agents never hold credentials. NeuBird cites SOC 2 Type II, and a trust center sits at trust.neubird.ai. SSO and SCIM support is not stated. Sourceneubird.ai/securityread 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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NeuBirdObservability & Auditability Every observation, inference and action is logged with timestamps, context and outcomes, and each investigation exposes its chain of thought, query execution logs and the data sources consulted. Model calls carry a per call audit of agent, task, model, tokens and cost. Sourcedocs.neubird.ai/mcp/reference/toolsread 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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NeuBirdDeployment & Data Residency Enterprise offers SaaS or VPC/VNET deployment, NeuBird can deploy within the customer's cloud environment, and resources can sit on-prem or in the customer's VPC, with telemetry staying in place and nothing stored. No hosting region list is published. Sourceneubird.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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NeuBirdPrebuilt Agents, Templates & Packs Pricing is per run for the triage, investigation, analyst, cluster and discovery agents, but they work as stages of one investigation product, not agents a customer adopts separately. Customers write their own project instructions, and no template or agent catalog is published. Sourceneubird.ai/pricingread 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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NeuBirdModel Flexibility & Routing With Governed Model Access, customers decide which models run, on which data and at what cost, using approved frontier models, including ones in their own AWS Bedrock, Azure OpenAI or Google Vertex AI account. Requests are routed by task, cost or latency, with failover and per agent budgets. Sourceneubird.ai/platform/governed-model-accessread 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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NeuBirdAPIs, SDKs & MCP Extensibility A remote MCP server at <deployment>.app.neubird.ai/mcp, also available as the @neubirdai/mcp-server-neubird package, authenticates with a bearer token from the login API and exposes 33 tools, including ones that create projects, connections and instructions and start investigations. Sourcedocs.neubird.ai/mcp/getting-started/installationread 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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NeuBirdTesting, Debugging & Optimization A customer can test a change to its configuration by validating an instruction, applying it to a past session, running the investigation again and reading the RCA quality score and session scoring, through the neubird_validate_instruction, neubird_apply_session_instruction, neubird_rerun_session and neubird_get_rca_score tools. Sourcedocs.neubird.ai/mcp/reference/toolsread 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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NeuBirdBrowser & Computer Use NeuBird works through telemetry queries, integrations, a terminal, a desktop app and an MCP server. No browser, desktop control or computer use by the agent is described. Sourcedocs.neubird.ai/concepts/overviewread 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 |
N NeuBird |
|---|---|---|
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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. | Enterprise at custom pricing on credits. A 14 day trial includes 50 credits. |
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Pricing confidence How public the numbers are |
Public, exact | Contact only |
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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. | Credits per agent run. Investigation, analyst and cluster runs draw credits, triage is included, discovery is charged per 10 runs, and alerts are unlimited. |
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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 | Sales call |
Cleric publishes credit plans; NeuBird prices its Enterprise plan on request, with a free 14 day trial.
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