Coasty vs Strix: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Coasty and Strix — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Coasty

Freemium

Computer-use AI agent and API (85.60% OSWorld) that browses, clicks and types across real desktop apps to finish work end-to-end.

Best-in-Class Computer Use: Ranked #1 on OSWorld at 85.60%, executing long-horizon tasks across real desktop applications.
Predict API: `/v1/predict` accepts a screenshot and returns the next action as structured JSON at $0.05 per call.
Always-On Virtual Machines: Persistent, always-on VMs let agents keep state between tasks and pick work up where they left off.
Agent Swarms: Run multiple agents in parallel to fan out across steps or accounts, cutting wall-clock time on repetitive work.
1,000+ App Integrations: Ships with native integrations to common productivity apps like Gmail and Slack out of the box.
Synthetic Trajectory Data: Delivers custom long-horizon multimodal training trajectories verified before delivery for enterprise buyers.

Back-Office Automation: Insurance, accounting and freight teams delegate repetitive desktop work — data entry, form filling, portal ops — to agents.
Autonomous Web Tasks: Consumers ask Coasty to book appointments, research options and complete purchases end-to-end.
Developer Automation: Engineers embed the Predict API into their own harnesses to build custom agentic workflows.
Healthcare Ops: Clinics use computer-use agents against legacy systems that lack modern APIs.
Data Collection at Scale: Enterprises order synthetic multimodal trajectories tuned to their apps for model fine-tuning.

Freemium

Strix is an open-source AI pentesting agent that dynamically finds, exploits, and reports on real vulnerabilities in your applications.

Autonomous AI Pentesters: Runs code dynamically like real hackers to discover vulnerabilities rather than relying on static pattern matching.
Real Exploit Validation: Produces working proofs-of-concept for each finding so teams triage real issues instead of false positives from legacy scanners.
Multi-Agent Orchestration: Teams of AI pentesters collaborate on reconnaissance, exploitation, and validation and scale across large surfaces.
Developer-First CLI: Actionable findings surfaced through a command-line interface with concrete remediation guidance for engineers.
CI/CD Integration: GitHub Actions and pipeline integration to automatically scan every pull request and block insecure code before it reaches production.
Auto-Fix and Compliance Reports: Generates suggested patches and produces compliance-ready pentest reports for auditors and customers.

Application Security Testing: Detect and validate critical vulnerabilities in web and API applications during development.
Rapid Penetration Testing: Complete pentests in hours instead of weeks and produce compliance-ready reports for SOC 2, ISO, or PCI.
Bug Bounty Automation: Automate reconnaissance and PoC generation to accelerate bug-bounty research and reporting.
CI/CD Security Gates: Block insecure pull requests by running Strix on every commit in GitHub Actions before merge.
Continuous Compliance Monitoring: Keep production environments audited by running scheduled Strix scans and archiving report artifacts.