Autoheal vs Xalgorix

Autoheal and Xalgorix are both ai agent apps tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Autoheal

AI platform leveraging a Production Context Graph to automate alert triage, root cause investigation, and incident remediation for enterprise SRE teams.

Xalgorix

The core loop is detect, chain, verify: the agent runs reconnaissance through injection through authentication testing, then executes a dedicated validation phase before anything reaches your report. On a public deliberately-vulnerable target, the vendor documents 9 verified findings including a CVSS 9.8 RCE in 17 minutes. The REST API and cron-style scheduling let security teams wire scans directly into CI/CD gates, so releases block on verified findings rather than scanner noise. Where the architecture shows its limits: scan depth and concurrency are credit-gated, and teams running continuous coverage across a wide attack surface will need to budget credits carefully. Self-hosted deployment is listed as an option for teams with data-residency requirements.

Attribute	Autoheal	Xalgorix
Pricing	Paid	Paid
Price	—	from $1 per scan
Free trial	No	No
Open source	No	Yes
Has API	Yes	Yes
Self-hosted option	Yes	Yes
Platforms	SaaS (cloud hosted and BYOC airgapped deployment options)	Web dashboard, REST API
Released	2026-03	—
Pros	Consolidates on-call management, incident response, and AI investigation into a single platform, reducing tool sprawl Production Context Graph learns from organizational context and decision history, improving accuracy over time Adversarial agent verification eliminates hallucinated root causes through evidence-backed confidence scoring Enterprise-grade security with BYOC, airgapped deployment, SOC 2/ISO 27001, fine-grained governance, and immutable audit trails Decision traces create institutional memory so insights from each incident inform future investigations	Exploit-verified findings only — the validation phase confirms each vulnerability with a working proof-of-concept before reporting, so engineers fix real risk instead of auditing a noisy candidate list. REST API with programmatic scan creation and report retrieval, which means CI/CD pipelines can gate releases on verified findings without a human in the review loop for every build. Cron-style recurring scans provide continuous attack surface coverage, so a newly deployed endpoint does not wait for the next manual engagement to get tested. Branded PDF reports include executive summary, severity breakdown, proof-of-concept, and remediation steps with dated evidence, which means audit deliverables are a direct export rather than a manual writeup. Self-hosted deployment option means organizations with data-residency requirements or air-gap mandates can run the platform without routing target data through the vendor's infrastructure.
Cons	Pricing not publicly disclosed; requires sales engagement for quotes, which may create friction for smaller organizations Enterprise-only positioning may limit accessibility for startups or teams with constrained budgets Requires integration with existing observability and on-call tools; success depends on quality of knowledge base and runbook metadata	Multi-target scans process sequentially, not in parallel — a queue of ten applications runs one at a time with full state recovery between jobs. Teams needing simultaneous coverage across a large asset inventory hit this ceiling immediately and either reduce scope per run or build a scheduling layer on top of the API to manage the queue themselves. Scan depth and breadth are credit-gated, with no fixed monthly allocation described in the docs. Teams running continuous coverage on a wide attack surface face unpredictable credit burn during high-change deployment periods, and the only mitigation is manually narrowing phase selection or scan frequency. The 22-phase methodology is fixed by the vendor — you can focus on subsets of phases, but you cannot inject custom test logic or extend the agent's toolset. Security teams with proprietary attack patterns or bespoke application architectures that require custom modules will hit this wall and move to a platform that exposes the agent's tool layer for extension, such as an open framework where the testing logic is fully configurable.

Bottom line

Xalgorix is open source. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Autoheal and Xalgorix?

Autoheal is Paid, while Xalgorix is Paid and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Autoheal better than Xalgorix?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.