Agentic Index
AlertD vs Kura (2026)
Both vendors last verified
AlertD and Kura both put AI agents on AWS operations, and they work in very different ways. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
AlertD runs read only agents in the customer's VPC covering security, compliance, cost, performance and LLM spend over a live cloud graph, proposing fixes as diffs for the customer's own pipeline, with a free 30 day trial on AWS Marketplace and usage metered in tokens. Kura is an AI DevOps copilot for AWS that answers questions about the cloud stack, scales and deploys resources, and debugs and rolls back from a chat. Choose AlertD for read only agents inside your VPC. Choose Kura to scale, deploy and roll back AWS resources by asking in chat.
On the Agentic Index production ops ranking, neither AlertD nor Kura clears the bar, which asks for all five resolution loop capabilities documented in full. AlertD documents one of the five in full; Kura documents none of the five 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. AlertD and Kura 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 AlertD if
- Agents must run read only inside your own VPC.
- Fixes should come back as diffs for your own pipeline to apply.
- You want a choice of models, including Claude, Llama or a private model.
Choose Kura if
- You want a chat copilot that can also scale, deploy and roll back resources.
- Your team is small and wants to work AWS from a chat.
- You want a copilot that answers questions about your AWS stack.
| Feature | A AlertD |
K Kura |
|---|---|---|
| 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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AlertDIntegrations & Tool Calling Agents read the AWS estate across services through a read only role and hand back proposed fixes as Terraform or CloudFormation diffs for the customer's pipeline. AlertD has read only access and no write permissions of its own, so the agents read and suggest but do not act in those systems themselves. Today the diff arrives ready for the team to open a pull request in its own repo, with GitHub and GitLab apps in progress. Coverage is AWS end to end, and Azure and GCP are on the roadmap. SourceAlertD, alertd.ai/faq and alertd.airead 2026-10-05 |
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KuraIntegrations & Tool Calling Kura integrates directly with AWS to answer questions, generate code and help with everyday DevOps tasks, and it acts there, as in its examples of scaling production workers to eight with an ECS service update and rolling back Lambda code. AWS is the one connector, and Google Cloud is marked Coming Soon. Kura describes no way to add other tools. SourceKura, usekura.comread 2026-10-06 |
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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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AlertDWorkflow Orchestration Specialist agents each analyze their own domain over a shared graph, covering security, cost and compliance, along with performance and LLM visibility. Fixes from every agent arrive as diffs for the same pull request workflow, and questions reach the agents over Slack or MCP. AlertD offers no builder for flows of several steps, no branching and no way for the customer to coordinate the agents. SourceAlertD, alertd.ai and alertd.ai/faqread 2026-10-05 |
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KuraWorkflow Orchestration The copilot runs its own discover, debug and fix sequence inside a chat, reading logs to find a fault, such as a function receiving empty User objects, and then rolling back a Lambda function to the previous day's version on request. Kura describes no workflow builder, branching or runbooks. SourceKura, usekura.comread 2026-10-06 |
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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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AlertDTriggers & Channel Coverage Agents run continuously and org wide, around the clock. They watch for evidence and IaC drift and flag budget breaches the day they start, without anyone asking. Questions can also reach them on demand over Slack and MCP. Budgets the customer sets stop runaway LLM spend. SourceAlertD, alertd.ai and alertd.ai/faqread 2026-10-05 |
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KuraTriggers & Channel Coverage Work starts from an engineer's chat request, such as a backed up task queue or 500 errors after a deploy. The copilot's context aware log monitoring helps discover issues. Kura describes no alert, schedule or webhook that starts the copilot on its own. SourceKura, usekura.comread 2026-10-06 |
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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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AlertDKnowledge Grounding & RAG A unified context graph holds the customer's cloud state, normalized and queryable. It is a live picture of resources and metrics, pricing and relationships across the AWS estate, which the agents traverse to answer and recommend. Prices come from the ingested AWS price list, and the graph includes the customer's LLM stack. SourceAlertD, alertd.airead 2026-10-05 |
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KuraKnowledge Grounding & RAG Answers about the customer's AWS resources come from real time information on the whole cloud stack in one place, such as finding the instance behind a domain and reporting its CPU usage of about 57% to 61% and memory of about 44% to 51% over the last 24 hours. The copilot reads live state for each question, and Kura describes no stored index, graph or knowledge base. SourceKura, usekura.comread 2026-10-06 |
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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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AlertDMemory & State Persistence The agents keep no memory. The context graph they query is a live picture of the AWS estate, and the change history and shared saved queries are the application's record and user settings. SourceAlertD, alertd.ai and alertd.ai/faqread 2026-10-05 |
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KuraMemory & State Persistence For the copilot, Kura describes no memory store, no context kept between chats and no learning carried from one incident to the next. SourceKura, usekura.comread 2026-10-06 |
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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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AlertDHuman Oversight & Guardrails The agents propose, the customer approves and the customer's pipeline applies the change, a pattern AlertD ties to what Gartner calls Act with Approval. The agents hold read only access, and changes go through the customer's own pull request pipeline, so the customer owns the gate. Decisions stay with people, and the agents' reach is limited to reading. In Slack, each answer carries the finding, its context and the proposed fix. SourceAlertD, alertd.ai and alertd.ai/faqread 2026-10-05 |
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KuraHuman Oversight & Guardrails Teams can deploy new resources and scale up confidently while keeping full control of their stack, Kura promises. In its examples the engineer asks for each change. Kura describes no approval step, confirmation before a command runs or limit on what the copilot may change. SourceKura, usekura.comread 2026-10-06 |
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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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AlertDSecurity, Identity & Governance AlertD holds SOC 2 Type II and logs actions. There is no SSO or role based access for users. The read only IAM role scopes the agent, not who in the customer's organization can do what. The agents run inside the customer's VPC with no write permissions of their own. SourceAlertD, alertd.ai and alertd.ai/faqread 2026-10-05 |
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KuraSecurity, Identity & Governance The copilot connects to the customer's AWS account and runs commands there. Kura names no access model, single sign on, roles or attestation, and it links no security or trust page. SourceKura, usekura.comread 2026-10-06 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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AlertDObservability & Auditability Actions are logged, the agent works in the open, and compliance evidence artifacts are mapped control by control. Every model invocation is metered, and Deep Prompt Inspection shows which features drive model spend. There is no record of the steps, queries or tools an agent used in a run. SourceAlertD, alertd.ai and alertd.ai/faqread 2026-10-05 |
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KuraObservability & Auditability The copilot gives real time visibility into the cloud stack and monitors logs with context for the customer's AWS estate. Kura describes no record of the copilot's own steps, the commands it ran or the changes it made. SourceKura, usekura.comread 2026-10-06 |
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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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AlertDDeployment & Data Residency Deployment is a container image on Amazon ECS inside the customer's own AWS VPC, and operational data never leaves the customer's perimeter. Installation is one CloudFormation template from AWS Marketplace and takes about 15 minutes, and AlertD is not offered as SaaS. SourceAlertD, alertd.ai/faq and alertd.airead 2026-10-05 |
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KuraDeployment & Data Residency The copilot is hosted and connects to the customer's AWS account. Kura names no self hosted, VPC or region option. SourceKura, usekura.comread 2026-10-06 |
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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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AlertDPrebuilt Agents, Templates & Packs Five agents come purpose built, each with its own job. The security agent ranks findings by blast radius and the compliance agent gathers control evidence. The cost agent handles rightsizing, the performance agent runs diagnostics and the LLM visibility agent meters tokens. Each agent works on its own. Together they cover more than 200 cloud jobs, among them cyber asset inventory, attack path analysis, cloud identity and entitlement analysis, data exposure and encryption posture, incident investigation, and finding idle resources, zombie EKS pods and GPU waste. SourceAlertD, alertd.airead 2026-10-05 |
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KuraPrebuilt Agents, Templates & Packs One copilot covers deployment, scaling, debugging and questions about the stack. Kura names no prepackaged runbooks, templates or prebuilt agents. SourceKura, usekura.comread 2026-10-06 |
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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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AlertDModel Flexibility & Routing Any LLM works. Customers use Anthropic Claude, Meta Llama or their own private LLM through Amazon Bedrock, so the customer chooses the model inside its own account. Agent jobs are metered by tokens, and customers set a budget and see how the agents use their credits. SourceAlertD, alertd.ai/faq and alertd.airead 2026-10-05 |
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KuraModel Flexibility & Routing The model behind the copilot is not named, and no choice of model or provider is published. SourceKura, usekura.comread 2026-10-06 |
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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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AlertDAPIs, SDKs & MCP Extensibility The AlertD MCP server is generally available and lets a coding agent such as Claude Code see all of AWS through AlertD. AlertD also works through the A2A and MCP interfaces AWS built its own agents on, so custom agents can work alongside it. There is no published endpoint, auth scheme or tool list, and no API or SDK. SourceAlertD, alertd.ai and alertd.ai/faqread 2026-10-05 |
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KuraAPIs, SDKs & MCP Extensibility No API, SDK, CLI, MCP server or user defined runbooks for driving Kura are published. The site is a single product page that ends in a call to get started. SourceKura, usekura.comread 2026-10-06 |
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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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AlertDTesting, Debugging & Optimization Token metering, daily tracking of model invocations and hard caps control cost, not quality. There is no testing, scoring or feedback loop for the agents. AlertD reports 10% savings on AWS infrastructure cost, diagnostics 100 times faster and audit artifacts in seconds rather than days. SourceAlertD, alertd.ai/faq and alertd.airead 2026-10-05 |
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KuraTesting, Debugging & Optimization The debugging in Kura's examples is of the customer's application, not of the copilot. Kura describes no evaluation, test or check on the quality of the copilot's own work. SourceKura, usekura.comread 2026-10-06 |
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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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AlertDBrowser & Computer Use The agents read AWS through a read only role, answer over Slack, MCP and a web portal, and hand fixes back as Terraform or CloudFormation diffs. They use no browser, desktop or computer control. SourceAlertD, alertd.ai and alertd.ai/faqread 2026-10-05 |
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KuraBrowser & Computer Use The copilot works through AWS commands and APIs from a chat. Kura describes no control of a browser, desktop or other screen. SourceKura, usekura.comread 2026-10-06 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | A AlertD |
K Kura |
|---|---|---|
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Entry price Lowest public entry point |
Free 30 day trial on AWS Marketplace; usage based pricing metered in tokens, with no published rates | No public pricing |
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Pricing confidence How public the numbers are |
Contact only | Contact only |
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Billing Primary billing axis |
Usage metered in tokens for resources monitored and agent work, through AWS Marketplace, plus the customer's own Bedrock model and AWS infrastructure costs | — |
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Variable cost Workload / overage exposure |
High variable cost | High variable cost |
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Free tier / trial Try before you buy |
No free tierTrial
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No free tier
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Buying motion Self-serve vs sales call |
Mixed | Sales call |
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Pricing verified When this pricing was last checked |
Product updates
Newest first, each linked to its source.
Kura has no public price.
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