Autoheal vs Triggered Agents by Adaptive

Autoheal and Triggered Agents by Adaptive 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.

Triggered Agents by Adaptive

Adaptive lets you describe work in plain language — 'flag suspicious signup domains every morning' or 'draft weekly product updates from GitHub' — and deploys agents that loop through the steps, call connected tools, and surface results without waiting for you to click through each stage. Agents can run in parallel, so a sales pipeline workflow and a development update feed operate independently at the same time. The approval controls let you stay in the loop on sensitive steps without babysitting routine ones. Where it strains: teams with complex conditional branching across departments, or those who need fine-grained workflow versioning, will hit the ceiling of a conversational-first build surface faster than teams doing linear recurring tasks.

Attribute	Autoheal	Triggered Agents by Adaptive
Pricing	Paid	Paid
Price	—	$20/month
Free trial	No	No
Open source	No	No
Has API	Yes	Yes
Self-hosted option	Yes	No
Platforms	SaaS (cloud hosted and BYOC airgapped deployment options)	Web-based with native iOS app
Released	2026-03	2025-04
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	Plain-language agent creation from existing spreadsheets or documents, so non-technical operators build functional automations without writing a line of code or waiting on a developer. Parallel multi-agent execution, which means a sales outreach workflow and a GitHub update digest run simultaneously without one blocking the other — something a single-agent queue cannot do. Step-level human approval controls, so you sign off on sensitive actions like sending emails or processing payments while the surrounding routine steps run unattended. Connections to Gmail, Stripe, Square, and GitHub out of the box, which means agents pull from and write to the tools a small business already uses rather than requiring a custom integration build. Mobile management via iOS app, so an agent running overnight outreach or morning domain flagging can be reviewed and adjusted without being tied to a desktop.
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	Workflows that require branching logic — 'if the lead replied yes, route to calendar; if no, wait three days and try again; if unsubscribe, update the CRM' — hit the limits of a conversational build surface quickly. Teams with more than two or three conditional paths end up describing workarounds to the agent rather than expressing the logic directly, which makes debugging opaque. No self-hosted option exists. Teams operating under data residency regulations, enterprise security policies, or air-gapped network requirements cannot deploy Adaptive at all — at that point they move to a self-hostable alternative like n8n or a custom stack regardless of how well the agent layer fits their workflow. Paid-only features gate the full agent capability for teams on the free tier, which means prototyping a multi-agent workflow and then discovering the parallel execution or advanced integrations require an upgrade — after the build time is already spent.

Bottom line

Autoheal and Triggered Agents by Adaptive are closely matched on pricing model, openness, and API availability — pick by feature set and platform support in the table above.

Frequently asked questions

What is the difference between Autoheal and Triggered Agents by Adaptive?

Autoheal is Paid, while Triggered Agents by Adaptive is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Autoheal better than Triggered Agents by Adaptive?

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.