When should you choose Causely?

Your own AI agents should query causal analysis through MCP or GraphQL. You want a published price and a 30 day trial. An audit trail of each analysis is required. Graded by Agentic Index against the same capability axes from each vendor's own published materials. No vendor pays for placement.

When should you choose Traversal?

Memories should persist between incidents once approved. You need to bring your own model. Proactive Workers in Slack and Teams should raise issues before they page anyone. Graded by Agentic Index against the same capability axes from each vendor's own published materials. No vendor pays for placement.

How much do Causely and Traversal cost?

Causely: Professional at $2,000 per month for up to 500 services. Enterprise is custom.. Traversal: Contact sales. Investigations are metered in credits, and no rates are published.. Graded by Agentic Index against the same capability axes from each vendor's own published materials. No vendor pays for placement.

Agentic Index

Causely vs Traversal (2026)

Causely last verified September 29, 2026·Traversal last verified October 22, 2026

Causely and Traversal both reason over a causal model of production. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.

Causely infers root cause and blast radius and serves the analysis to SRE teams and their own AI agents through an MCP server and a GraphQL API, for $2,000 a month across up to 500 services, with a 30 day trial. Traversal keeps a continuously updated Production World Model, runs proactive Workers in Slack and Teams, keeps memories once approved, and offers bring your own model and on premises or BYOC deployment through enterprise sales. Choose Causely for causal analysis your own agents can call at a published price, and Traversal for an AI SRE with memory and your own model.

On the Agentic Index production ops ranking, neither Causely nor Traversal clears the bar, which asks for all five resolution loop capabilities documented in full. Causely does not document workflow orchestration in full; Traversal does not document workflow orchestration in full, nor observability and auditability. 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 Traversal 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

At a glance

Causely

Category: SRE / DevOps agent
Entry price: Professional at $2,000 per month for up to 500 services. Enterprise is custom.
Free or trial: Free 30 day trial
Pricing confidence: public exact

Traversal

Category: SRE / DevOps agent
Entry price: Contact sales. Investigations are metered in credits, and no rates are published.
Free or trial: Enterprise evaluations and paid proofs of value through sales. No self serve trial.
Pricing confidence: contact only

Keep exploring

Choose Causely if

Your own AI agents should query causal analysis through MCP or GraphQL.
You want a published price and a 30 day trial.
An audit trail of each analysis is required.

Choose Traversal if

Memories should persist between incidents once approved.
You need to bring your own model.
Proactive Workers in Slack and Teams should raise issues before they page anyone.

Feature	C Causely	T Traversal
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
TraversalIntegrations & Tool Calling Traversal connects to about 30 observability tools (Datadog including RUM and Flex Logs, Dynatrace, Splunk, Grafana, Prometheus, CloudWatch, AppDynamics, Sentry) plus AWS, Azure Resource Manager and Monitor, Azure DevOps, Kubernetes through scoped read only kubectl, GitHub, GitLab, Confluence, Notion, Jira, Linear, ServiceNow, PagerDuty, incident.io, FireHydrant, Slack, Teams and external MCP servers, which it queries with scoped read access. SourceTraversal docs llms.txt index and changelog; docs.traversal.com/changelogread 2026-10-22
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
TraversalWorkflow Orchestration The Causal Search Engine walks the Production World Model across many hops, and Workers take plain language instructions and schedules per channel. There is no multi step builder, branching or coordination between agents, and the investigation flow is Traversal's own. Sourcedocs.traversal.com/using-traversal/workersread 2026-10-22
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
TraversalTriggers & Channel Coverage Workers act without being asked. Incident Workers activate when high severity incidents are declared, Alert Workers monitor alert channels continuously, and Custom Workers run on plain language missions and schedules, in Slack and Microsoft Teams. Auto deploy rules start Workers in new channels, and in Teams a Worker can join meetings whose names match a rule. Sourcedocs.traversal.com/using-traversal/workersread 2026-10-22
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
TraversalKnowledge Grounding & RAG The Production World Model is a continuously updated, AI readable, causal representation of the production system, exposed as a Wiki regenerated as the environment changes with history kept, beside searchable uploaded docs and runbooks in the Knowledge Bank. Uploaded PDFs are read including their diagrams, and a Skill can be attached to any investigation. Sourcedocs.traversal.com/using-traversal/knowledge-bankread 2026-10-22
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
TraversalMemory & State Persistence Memories are learnings the agent drafts mid investigation when corrected or told to remember, and they are kept only after a person approves, in an organization wide Knowledge Bank where knowledge persists indefinitely. Traversal does not say how a memory is deleted. Sourcedocs.traversal.com/using-traversal/knowledge-bankread 2026-10-22
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
TraversalHuman Oversight & Guardrails Traversal cannot change a customer's systems or data unless the customer grants it write access, and integrations are read only by default. Self healing is an option a customer turns on, after which Traversal drafts a fix as a pull request for review and checks it against production. Workers never modify alerting, paging or routing, and memory proposals are kept only when a person approves. Sourcedocs.traversal.com/responsible-use/securityread 2026-10-22
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
TraversalSecurity, Identity & Governance Customers sign in with SSO over OIDC or SAML 2.0, with Member and Admin roles and invite only or domain based access. Service accounts give scripts and MCP clients an organization owned identity with a role and rotating keys. SCIM is not supported, and Traversal publishes no audit log. SOC 2 Type II sits alongside GDPR and HIPAA alignment, third party penetration testing and a trust center. Sourcedocs.traversal.com/get-started/authenticationread 2026-10-22
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
TraversalObservability & Auditability A result shows the root cause with confidence, evidence citations linking to source tools, anomalies and an incident timeline. Each Worker keeps an activity feed of its channel's messages and the tool calls it makes, and admins can review service account sessions from the last seven days. Traversal publishes no audit log of actions and no retention period for these records. Sourcedocs.traversal.com/using-traversal/worker-featuresread 2026-10-22
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
TraversalDeployment & Data Residency Deployment options are private on premises, Bring Your Own Cloud with data residency in the customer's cloud account, single tenant SaaS and PrivateLink. SourceTraversal security page and docs llms.txt index (deployment options); traversal.com/securityread 2026-10-22
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
TraversalPrebuilt Agents, Templates & Packs Incident, Alert and Custom Workers are variants of one worker product deployed to different channels, and Skills are procedures the customer's team writes. Traversal offers a prompt library but no agent or template catalog. Sourcedocs.traversal.com/using-traversal/workersread 2026-10-22
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
TraversalModel Flexibility & Routing With Bring Your Own Model, customers run Traversal with their preferred LLMs, including self hosted or customer managed models. Sourcetraversal.com/securityread 2026-10-22
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
TraversalAPIs, SDKs & MCP Extensibility An API at api.traversal.com uses API key authentication and covers anything a member can do in the web app, including a Sessions API (create, list, get, stream, follow up) and a Knowledge Files API (create, replace, delete), plus MCP access that lets coding agents check a change against production. Service accounts hold keys for scripts and pipelines. Sourcedocs.traversal.com/api/overviewread 2026-10-22
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
TraversalTesting, Debugging & Optimization Traversal publishes its own benchmarks on high severity production incidents as marketing. Customers get no evaluation harness, scored test or rerun comparison. Sourcedocs.traversal.com/using-traversal/understanding-resultsread 2026-10-22
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
TraversalBrowser & Computer Use Traversal works through observability and code integrations, Slack, Teams, an API and MCP, with no browser, desktop or computer control. Sourcedocs.traversal.com/using-traversal/workersread 2026-10-22

Pricing snapshot

Sourced from the Index pricing dataset · open each vendor's profile for full detail.

Pricing	C Causely	T Traversal
Entry price Lowest public entry point	Professional at $2,000 per month for up to 500 services. Enterprise is custom.	Contact sales. Investigations are metered in credits, and no rates are published.
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 investigation. The credit cost and contract terms are set through sales.
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	Sep 29, 2026	Oct 22, 2026

Product updates

Newest first, each linked to its source.

Causely

October 22, 2026 · 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
October 8, 2026 · 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

All 2 Causely updates →

Traversal

October 14, 2026 · Integrations

Traversal investigations can now connect to Azure Resource Manager and Azure Monitor through one connection, covering resource inventory and configuration, change history, health, identity metadata and Azure Monitor logs and metrics, authenticated through Microsoft Entra Workload Identity Federation with reader roles on chosen subscriptions.
Source
October 2, 2026 · Integrations

Traversal's investigation agent can now query Datadog Real User Monitoring to count affected users and isolate a regression by route, release, browser, device or region, then follow the trail into backend traces and logs.
Source
September 16, 2026 · Integrations

Traversal launched a Microsoft Teams integration that brings its AI SRE into Teams, connected to the same Production World Model as its web and Slack surfaces.
Source