Repath vs AutoChangelog

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Repath compared with AutoChangelog
Detail	Repath	AutoChangelog
What it does	Canary rollouts for prompts and models with automatic quality gates and rollback	Changelogs that write themselves
Stage	Not given	Not given
Founded	Not given	Not given
Based in	Not given	Not given
Pricing model	Free trial	Freemium
Pricing	7-day free trial with 1,000 judged evaluations (no card required). Indie: $20/month or ₹1,699/month (3,000 judged evaluations/month). Starter: $49/month or ₹4,099/month (10,000 judged evaluations/month). Pro: $149/month or ₹12,499/month (100,000 judged evaluations/month). Enterprise: custom pricing.	Free: $0/month (1 repository, up to 10 deployments per month, public changelog, custom domain, RSS feed, 5 templates, logo and colors). Pro: $14/month (1 repository, unlimited tracked deployments, advanced AI, custom domain, public or private changelog, embeddable widget, manual entries, RSS and ema
Key features	Canary deployments for prompts and models with progressive traffic steps LLM judge scoring responses on helpfulness, accuracy and clarity Automatic rollback when quality drops below threshold Drop-in replacement for OpenAI-compatible clients Support for OpenAI, Anthropic, Gemini, OpenRouter and Vercel AI Gateway Request log with prompts, responses, cost and judge verdict Failover and routing across providers Alerts via email, Slack and webhooks Dashboard and API for managing rollouts Controller makes routing decisions every 30 seconds	AI-assisted generation from commits and pull requests Automatic changelog generation on deployment Review and edit entries before publishing Custom domains with CNAME setup Beautiful responsive templates with dark mode RSS feed and email notifications Manual changelog entry creation Embeddable changelog widget Password protection for private changelogs Full API access
What makes it different	Automatically detects and rolls back silent quality failures that don't trigger errors or alerts Quality decisions based on real traffic and LLM judging, not health checks alone Minimal latency overhead of about 0.4ms median in request path Every decision audited with exact metrics that triggered routing changes Can run in the cloud or inside customer's own network for data privacy	AI automatically writes changelog entries from commits and pull requests in plain language users understand No workflow changes required - integrates seamlessly with existing CI/CD pipelines via webhook Complete control with review mode or auto-publish options Works with public and private repositories with read-only access Real-time changelog updates visible within seconds of deployment
Community votes	0	0
DR (Domain Rating by Ahrefs)	Not checked yet no change since last check	34 −1 (down) since last check
Trust Flow (Majestic)	0	13
Citation Flow (Majestic)	15	28
Referring domains (Majestic)	2	92

5 details filled in for both companies.

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