Agentic Index
Anyshift vs Causely (2026)
Both vendors last verified
Anyshift and Causely both work out root cause from a model of the environment. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Anyshift builds a versioned knowledge graph of infrastructure, apps and team tools, and its agent, Annie, runs root cause analysis automatically on PagerDuty and incident.io incidents and proposes fixes as pull requests on request, with a 14 day free trial. Causely infers root cause and blast radius from a causal model and serves the analysis to SRE teams and their own AI agents through an MCP server and a GraphQL API, on a $2,000 Professional plan covering up to 500 services. Choose Anyshift for automatic root cause on each incident with fixes on request, and Causely for causal analysis your own agents can query at a published price.
On the Agentic Index production ops ranking, neither Anyshift nor Causely clears the bar, which asks for all five resolution loop capabilities documented in full. Anyshift does not document workflow orchestration in full, nor observability and auditability; Causely does not document 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. Anyshift and Causely 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 Anyshift if
- Root cause analysis should run automatically when an incident opens.
- Fixes should arrive as pull requests on request.
- You want a 14 day trial without a card.
Choose Causely if
- Blast radius should come with root cause, from a causal model.
- Your own AI agents should query the analysis through MCP or GraphQL.
- Analysis should reach your own agents through MCP and GraphQL.
| Feature | A Anyshift |
C Causely |
|---|---|---|
| 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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AnyshiftIntegrations & Tool Calling Integrations cover AWS, GCP, Azure, Cloudflare, GitHub, GitLab, Kubernetes, Datadog, Grafana, Splunk, PagerDuty, incident.io, Sentry, Jira, Confluence, Notion and Linear. Annie posts RCA results as PagerDuty notes and incident.io comments and opens pull requests through a separate agentic GitHub app. The integrations number 25+, and the graph also reads Terraform code and Terraform state. SourceAnyshift, docs.anyshift.io Root Cause Analysis, Propose Fix and llms.txt indexread 2026-10-05 |
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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 |
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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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AnyshiftWorkflow Orchestration Annie runs its own investigation across the graph, logs and traces and returns a timeline, root cause and remediation steps, coordinating specialized agents along the way. Customers tune it with instructions, personas and effort modes, and automation rules route Slack messages with fallbacks for each sender and a fixed default. There is no builder, branching or multi agent flow that customers control. SourceAnyshift, docs.anyshift.io Root Cause Analysis and llms.txt indexread 2026-10-05 |
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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 |
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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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AnyshiftTriggers & Channel Coverage RCA starts automatically when an incident is created in PagerDuty or arrives through a webhook from incident.io, and investigations also start on demand from Slack and the Remote MCP, from pull request analysis and from proactive detection. Saved reports can run on a schedule, and automation rules let Annie act on Slack messages by itself. SourceAnyshift, docs.anyshift.io Root Cause Analysis and llms.txt indexread 2026-10-05 |
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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 |
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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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AnyshiftKnowledge Grounding & RAG Annie and other agents query one versioned knowledge graph of infrastructure, applications, identity and team tools, with timestamped state changes and entity resolution that joins an EC2 instance, a Kubernetes pod, a GitHub repo, a Jira ticket and a Confluence page into single nodes. The graph links Terraform code, Terraform state and live infrastructure, and change history shows what changed and when before an incident. SourceAnyshift, anyshift.io and docs.anyshift.io llms.txt indexread 2026-10-05 |
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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 |
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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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AnyshiftMemory & State Persistence After each investigation Annie reflects and curates learnings that inform later investigations, covering infrastructure patterns, normal baselines and error signatures, effective queries and dashboard locations, and which services power which features and who owns them. Users add custom knowledge Annie cannot learn on its own, such as team conventions, vendor specifics and escalation procedures. Anyshift does not say who the learnings apply to, how long they are kept or how to view or delete them. SourceAnyshift, docs.anyshift.io Memory and Agentsread 2026-10-05 |
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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 |
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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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AnyshiftHuman Oversight & Guardrails Annie's only write action, a fix pull request, runs when a person clicks Propose Fix on a hypothesis or answer. Write access is isolated in a separate agentic app while investigation stays read only, and nothing reaches production until a person merges the pull request. Sourcedocs.anyshift.io/pages/product/propose_fixread 2026-09-29 |
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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 |
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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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AnyshiftSecurity, Identity & Governance Role based access control, multi factor authentication and single sign on are supported, with roles and permissions set out in their own documentation. Anyshift holds AICPA SOC 2 Type II, covering security, availability, processing integrity, confidentiality and privacy, and a trust portal is published at trust.anyshift.io. The platform runs on AWS with encrypted storage, data isolation and retention policies, and code is scanned continuously for secrets, vulnerabilities and risky dependencies. SourceAnyshift, docs.anyshift.io compliance and llms.txt indexread 2026-10-05 |
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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 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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AnyshiftObservability & Auditability Each RCA carries a timeline of events, root cause details with evidence from the customer's systems and affected resources, and fix PRs link back to the conversation, but there is no record of the steps, queries or tools Annie used in the run, and retention is not stated. Saved reports can be reused and scheduled, and change history shows what changed, when, and what came before an incident. SourceAnyshift, docs.anyshift.io Root Cause Analysis and llms.txt indexread 2026-10-05 |
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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 |
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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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AnyshiftDeployment & Data Residency The product is SaaS with a 30 minute setup, and there is no self hosting, VPC, region or residency option. The service runs on AWS. SourceAnyshift, docs.anyshift.io complianceread 2026-10-05 |
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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 |
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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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AnyshiftPrebuilt Agents, Templates & Packs There is one agent, Annie, with product capabilities (RCA, reports, proactive detection, propose fix) and Graph API use cases (alert noise, configuration churn, pull request blast radius). Those are features of one product, not separate agents or templates a customer adopts. Saved reports can be reused across the team. SourceAnyshift, docs.anyshift.io llms.txt indexread 2026-10-05 |
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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 |
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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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AnyshiftModel Flexibility & Routing Anyshift lists its model providers among its external providers, and customers cannot choose the model. An effort mode trades speed against depth of reasoning, and personas set tone, depth and assumptions, but neither changes the model. SourceAnyshift, docs.anyshift.io compliance and llms.txt indexread 2026-10-05 |
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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 |
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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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AnyshiftAPIs, SDKs & MCP Extensibility There is a read only Graph API over HTTP with a TypeScript SDK (@anyshift/graph-sdk), a CLI, a Graph MCP server and a published OpenAPI specification, plus Annie Remote MCP for triggering RCA from an IDE. The Graph API serves code, CI pipelines, internal platforms and other AI agents, and the CLI works from the terminal, scripts and CI. SourceAnyshift, docs.anyshift.io Graph API and llms.txt indexread 2026-10-05 |
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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 |
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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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AnyshiftTesting, Debugging & Optimization Pull request blast radius and drift detection check the customer's infrastructure changes before they ship, which tests the change, not the agent. There is no way to test Annie's own answers. Drift detection shows the gap between what Terraform declares and what is actually running. SourceAnyshift, docs.anyshift.io llms.txt indexread 2026-10-05 |
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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 |
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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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AnyshiftBrowser & Computer Use Annie works through integrations, read only live queries, Slack, pull requests, an API and MCP, and does not control a browser, desktop or computer. The only write access sits in a separate agentic GitHub app that opens fix pull requests. SourceAnyshift, docs.anyshift.io Root Cause Analysis and Propose Fixread 2026-10-05 |
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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 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | A Anyshift |
C Causely |
|---|---|---|
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Entry price Lowest public entry point |
No public pricing; 14 day free trial with no credit card | Professional at $2,000 per month for up to 500 services. Enterprise is custom. |
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Pricing confidence How public the numbers are |
Contact only | Public, exact |
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Billing Primary billing axis |
Not published | Billed monthly by service count on Professional, up to 500 services. Enterprise runs on a custom plan. |
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Variable cost Workload / overage exposure |
High variable cost | Low 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 |
Product updates
Newest first, each linked to its source.
Anyshift
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· Agent capability
Once Annie, Anyshift's SRE agent, has joined a Slack thread, she now decides for herself whether each new message is meant for her and replies without needing a fresh tag.
Source
Causely
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· 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
Causely's Professional plan is $2,000 a month, and Anyshift offers a 14 day free trial with no public price.
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