| What it does | TikTok videos that outperform, for your agent or your app
| The continual learning engine for AI agents
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| Stage | Not given
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| Founded | Not given
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| Pricing model | Not given
| Freemium
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| Pricing | Pay as you go: $0.005 per call ($5 for 1,000 calls), $1.00 free credit when you sign up. Top up with $5, $10, $25, $50 (+10% credit) or $100 (+10% credit). Pro plan: $69/month with 1,000 searches per day included. Agency plan: $299/month with 5,000 searches per day included. All paid plans include a
| RELAI Free: $0. RELAI Enterprise: Custom pricing.
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| Key features | - Search TikTok videos by keyword, creator, or hashtag
- Measure videos against creator's usual performance (vsUsual metric)
- View history showing performance over time
- Shares per 1,000 views metric
- Sort by trending, outlier, views, recent, engagement or shares
- Track your own accounts with followers and video analytics
- Daily video ideas and AI video checks
- MCP integration with Claude and Cursor
- REST API and command-line interface
- Rate limit of 60 calls per minute, up to 50 videos per call
| - Capture signals from code, requirements, and production traces
- Build and maintain EvalsWiki as versioned behavioral knowledge
- Find missing eval coverage and unclear expectations
- Generate complete evals with scenarios, environments, and evaluators
- Optimize harness across prompts, tools, workflows, and code
- Multi-objective optimization for quality, cost, latency, and KPIs
- Model selection, migration, and routing with evaluation
- Regression-controlled improvement with evaluation evidence
- Versioned storage in repository with pull requests
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| What makes it different | - Data refreshed daily with view history tracking, not a live scraper
- Measures performance relative to creator's baseline, not absolute views
- Three public MCP tools work without an API key as preview
- Includes trending hashtags and sounds in search results
| - Turns failures into replayable learning environments
- Prevents regressions by keeping previous evals in the loop
- Integrates with existing observability stacks and traces
- Preserves business intelligence versioned in repository
- Adapts harness to model changes without redefining use cases
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 2 ● no change since last check | 23 ● no change since last check |
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| Trust Flow (Majestic) | 5 | 13 |
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| Citation Flow (Majestic) | 13 | 25 |
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| Referring domains (Majestic) | 5 | 79 |
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