Repath vs Driftline
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 Driftline
| Detail | 
Repath | 
Driftline |
|---|
| What it does | Canary rollouts for prompts and models with automatic quality gates and rollback
| Know before your AI model disappears
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| Stage | Not given
| Not given
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| Founded | Not given
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| Based in | Not given
| ID
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| Pricing model | Free trial
| Freemium
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| 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: forever, any number of repositories. Pro: $19/month (billed monthly, cancel any time) or $190/year (2 months free).
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| 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
| - Tracks 252 model IDs with official retirement dates
- Runs prompts on current and replacement models
- Reports directly on pull requests and GitHub issues
- Compares outputs between model versions with similarity scoring
- No data sent to external servers
- Supports JSON parsing failure detection
- Works with AI agents and coding assistants
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| 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
| - Runs entirely within your own GitHub Actions job with no external server handling your code or keys
- Covers 252 model IDs from OpenAI, Anthropic, Google and their cloud variants
- Retirement dates manually checked against official provider deprecation pages
- Shows exact similarity scores and flags broken outputs before production
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 0 | 0 |
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| Citation Flow (Majestic) | 15 | 9 |
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| Referring domains (Majestic) | 2 | 1 |
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5 details filled in for both companies.
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