Agentic Index
Causely vs NeuBird (2026)
Both vendors last verified
Causely and NeuBird both help teams find what broke in production. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Causely infers root cause and blast radius from a causal model of the environment, for SRE teams and their own AI agents through an MCP server and a GraphQL API, with Professional at $2,000 a month for up to 500 services and a 30 day trial. NeuBird's agents investigate alerts across more than 50 tools in place, with write access gated by approval, model routing the customer governs and an MCP server, on custom credit pricing with a 14 day trial. Choose Causely for causal root cause at a published price, and NeuBird for investigations with governed model routing and evaluation built in.
On the Agentic Index production ops ranking, neither Causely nor NeuBird clears the bar, which asks for all five resolution loop capabilities documented in full. Neither documents workflow orchestration in full. 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. Causely 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 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Causely if
- Root cause and blast radius should come from a causal model of your environment.
- You want a published price, $2,000 a month for up to 500 services.
- Your own AI agents should query the analysis through MCP or GraphQL.
Choose NeuBird if
- Your team should govern which models the agents use.
- Write access must stay gated behind approval.
- Investigations should reach across more than 50 of your tools in place.
| Feature | C Causely |
N NeuBird |
|---|---|---|
| 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. |
||
|
CauselyIntegrations & Tool Calling Telemetry comes from a named catalog of 20+ sources (Datadog, Dynatrace, Prometheus, Splunk, Elasticsearch, AWS, Azure, GCP, Kubernetes, Snowflake), and outbound workflows reach Slack, Microsoft Teams, incident.io, Splunk On-Call and a generic webhook. The executor on the in-cluster mediator applies scaling actions in the customer's cluster. Sourcedocs.causely.airead 2026-09-29 |
||
|
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 |
||
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
||
|
CauselyWorkflow Orchestration A causal reasoning engine produces root cause and blast radius in one analysis, and there is no stated multi step workflow builder or multi agent runtime. The six MCP skills sequence tool calls inside the customer's own agent, so that orchestration belongs to the agent, not to Causely. Sourcedocs.causely.ai/agent-integration/mcp-serverread 2026-09-29 |
||
|
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 |
||
|
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. |
||
|
CauselyTriggers & Channel Coverage Analysis runs continuously on streaming telemetry and on alerts routed in from existing tools ('An alert fires, Causely answers why'), and diagnoses are pushed to Slack, Teams, incident.io, Splunk On-Call or a webhook with nobody typing. Sourcedocs.causely.airead 2026-09-29 |
||
|
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 |
||
| 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. |
||
|
CauselyKnowledge Grounding & RAG Causely maintains a causal model of the customer's environment. The mediator discovers services, infrastructure and dependencies, and agents periodically forward topology and symptom data to the backend, which keeps the causal graph current and queryable. Sourcedocs.causely.ai/getting-started/architectureread 2026-09-29 |
||
|
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 |
||
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
||
|
CauselyMemory & State Persistence What persists is application data, not agent memory. Diagnosis history is kept under 30 day retention, and thresholds, service tiers, custom causes and snoozed issues are settings the product applies. The causal model is the product's picture of the environment, and there is no stated separate memory layer. Sourcedocs.causely.ai/getting-started/architectureread 2026-09-29 |
||
|
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 |
||
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
||
|
CauselyHuman Oversight & Guardrails Remediation commits only when a person triggers it from the UI, either as automated remediation or as a guided fix applied with one click, and automated actions require the executor to be enabled on the mediator in that cluster. There is no stated way for remediation to run without a person. Sourcedocs.causely.ai/in-action/automate-remediationread 2026-09-29 |
||
|
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 |
||
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
||
|
CauselySecurity, Identity & Governance Access is managed through workspace SSO, user management with assigned roles, personal and tenant wide API tokens, and MCP configuration tools limited to Developer and Admin roles, backed by an admin audit log. Causely holds SOC 2, with the report available on request, and encrypts data in transit and at rest. Sourcecausely.ai/securityread 2026-09-29 |
||
|
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 |
||
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
||
|
CauselyObservability & Auditability Each diagnosis carries its causal chain and the targeted telemetry sent as evidence, and remediation keeps an auditable action history tied to the entity it changed, a per action record readable after the fact. Sourcedocs.causely.ai/in-action/automate-remediationread 2026-09-29 |
||
|
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 |
||
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
||
|
CauselyDeployment & Data Residency The mediator and agents always run in the customer environment, the causal engine runs in the customer's cloud (BYOC) or in Causely managed infrastructure, and Enterprise offers on premises and air gapped deployment. Raw telemetry stays local. Causely publishes no region list. Sourcedocs.causely.ai/getting-started/architectureread 2026-09-29 |
||
|
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 |
||
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
||
|
CauselyPrebuilt Agents, Templates & Packs Six named skills ship with the MCP server, each with a distinct job. Three handle live incidents (causely-alert-triage, causely-correlated-incidents and causely-k8s-investigation), and the other three cover change impact (causely-change-impact), health reporting (causely-health-reporting) and postmortems (causely-postmortem). Sourcedocs.causely.ai/agent-integration/mcp-serverread 2026-09-29 |
||
|
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 |
||
| 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. |
||
|
CauselyModel Flexibility & Routing Diagnosis comes from a deterministic causal reasoning engine, with no stated LLM provider or customer model choice. Customers can bring their own agent through the MCP server, which extends the product and is not a choice of model. Sourcecausely.airead 2026-09-29 |
||
|
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 |
||
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
||
|
CauselyAPIs, SDKs & MCP Extensibility A GraphQL API at api.causely.app/query takes bearer token authentication with personal and tenant API tokens, and comes with query guides for defects and root causes, hiding root causes, and SLOs on paths. An MCP server at api.causely.app/mcp adds 45 tools, including configuration of thresholds, service tiers and snoozing. Sourcedocs.causely.ai/api/graphql-clientsread 2026-09-29 |
||
|
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 |
||
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
||
|
CauselyTesting, Debugging & Optimization There is no stated evaluation harness, scored tests or quality gate for the diagnosis engine. Post deploy validation compares the customer's services before and after a release, which tests the customer's change and not the agent, and the 63 percent benchmark is Causely's own marketing figure. Sourcedocs.causely.ai/agent-integration/mcp-serverread 2026-09-29 |
||
|
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 |
||
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
||
|
CauselyBrowser & Computer Use Causely works through telemetry sources, the in-cluster executor, a GraphQL API and an MCP server, with no stated browser, desktop or computer control. Sourcedocs.causely.airead 2026-09-29 |
||
|
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 |
||
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | C Causely |
N NeuBird |
|---|---|---|
|
Entry price Lowest public entry point |
Professional at $2,000 per month for up to 500 services. Enterprise is custom. | Enterprise at custom pricing on credits. A 14 day trial includes 50 credits. |
|
Pricing confidence How public the numbers are |
Public, exact | Contact only |
|
Billing Primary billing axis |
Billed monthly by service count on Professional, up to 500 services. Enterprise runs on a custom plan. | Credits per agent run. Investigation, analyst and cluster runs draw credits, triage is included, discovery is charged per 10 runs, and alerts are unlimited. |
|
Variable cost Workload / overage exposure |
Low variable cost | Medium variable cost |
|
Free tier / trial Try before you buy |
No free tierTrial
|
No free tierTrial
|
|
Buying motion Self-serve vs sales call |
Mixed | Sales call |
|
Pricing verified When this pricing was last checked |
Product updates
Newest first, each linked to its source.
Causely
-
· MCP / tool calling / API
The hosted Causely MCP server now carries its own guidance on how to use its tools, so a new background agent works well from its first connection.
Source -
· MCP / tool calling / API
The get_diagnosis_details and get_issue_details MCP tools in Causely now return the causality chain behind a diagnosis, listing each affected entity, its distance from the root entity, and the symptoms, events and SLOs the diagnosis causes there.
Source
NeuBird
-
· Human approval / guardrails
Version 5.0.0 of the NeuBird MCP server turns off by default the nine tools that create, change or delete a tenant's configuration, covering connections, projects and skills.
Source -
· Integrations
NeuBird AI released a new native integration with ControlUp to bring automated root cause analysis to virtual desktop infrastructure (VDI) monitoring.
Source
Causely lists its Professional price, and NeuBird prices Enterprise on request.
More comparisons with Causely or NeuBird
Other matchups in SRE and DevOps agents
Not the pairing you were after? These compare a different set of SRE and DevOps agents on the same 14 capabilities.