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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
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viral.app
✓ verifiedFree trial
Analytics and payout platform for tracking UGC creator performance and managing campaigns across TikTok, Reels, and Shorts.
35K visits/mo19K saves
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PromptLoop
✓ verifiedPaid
B2B sales research and data enrichment inside spreadsheets.
44K visits/mo3.4K saves
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DataVisor
✓ verifiedPaid
AI-native fraud and AML platform with real-time decisioning and cross-entity intelligence for banks, fintechs and payments.
19K visits/mo
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True ROAS
✓ verifiedFreemium
Multi-signal ad attribution platform for e-commerce that triangulates tracking, surveys, and marketing-mix modeling to reveal true ROAS.
15K visits/mo
Pricing
No public pricing
Free trial available
Development: Free
Standard: Starting from $68/month
Enterprise: Limited-time offer
Free: $0 /mo
Growth: $750 /mo (Monthly), $500 /mo (Annually)
No public pricing
Basic: Free/mo (first $10k tracked revenue free)
Pro: $39/mo (full CAPI coverage, 14-day free trial)
Premium: from $10,000/mo revenue tier
True Horizon: from $449/mo
Free trial available
Core features
- ✦Cross-platform UGC analytics for TikTok, Reels, Shorts, and Facebook Reels
- ✦No-login tracking of any public creator or competitor account
- ✦Campaign management with creator rosters and posting checks
- ✦Automated CPM/CPA/milestone-based creator payouts and invoicing
- ✦AI-based trend and hook analysis from a video library
- ✦API and integrations with Slack, Discord, and n8n
- ✦Fully SQL-compatible vector database
- ✦Fast and powerful queries (vector search, text search, filtered search, complex queries)
- ✦Enhanced RAG effectiveness
- ✦High-performance and cost-efficient MSTG vector engine
- ✦SQL/Relational Vector Database
- ✦Powerful Full-Text Search (BM25)
- ✦Integrates with AI Stack
- ✦Security and Compliance (SQL-based RBAC, SOC 2, ISO 27001 Compliance)
- ✦AI-powered text transformation, extraction, and summarization in Google Sheets and Excel
- ✦Automated web scraping and deep B2B research
- ✦CRM data enrichment and sales lead validation
- ✦Custom AI models and pre-built templates for data extraction
- ✦Scalable cloud infrastructure for large-volume data processing
- ✦Integration with CRMs (e.g., HubSpot) and REST API
- ✦Market-leading accuracy for data results
- ✦Unlimited data import and export
- ✦Real-time AI fraud/AML decisioning
- ✦Adaptive ML detection engine
- ✦Cross-entity link analysis
- ✦AI agents incl. conversational 'Vera'
- ✦Investigation and reporting tools
- ✦Low-latency scoring at high QPS
- ✦Server-side conversion tracking sent back to Meta and Google Ads
- ✦Triangulated attribution using tracking, surveys, and AI modeling
- ✦Unified ads manager across Meta, Google, and TikTok
- ✦Customer journey and multi-touch reporting
- ✦Incrementality/lift measurement and budget scenario planning
- ✦MCP integration exposing attribution data to Claude and ChatGPT
Use cases
- →Brands tracking and paying UGC creators across platforms
- →Marketing teams monitoring competitor short-form video performance
- →Agencies managing multiple influencer campaigns from one dashboard
- →Growth teams researching viral video trends for creative briefs
- →RAG for Domain Knowledge Base
- →Recommendations
- →Chatbot
- →Image Search
- →Analyzing sales lists and generating keywords/SEO content
- →Automating B2B research and CRM data enrichment
- →Extracting company data, buying signals, and custom insights from websites
- →Building prospect databases and validating sales leads
- →Transforming messy text and unpacking survey responses
- →Drafting emails and outreach
- →Processing thousands of URLs simultaneously for research
- →Stop payment, card and check fraud
- →Prevent account takeover and application fraud
- →Meet AML/BSA compliance
- →Onboard customers with less friction
- →Shopify stores wanting accurate ROAS after cookie/ID loss
- →Performance marketers deciding which ads to scale or cut
- →Agencies needing consolidated cross-platform ad reporting
- →Brands wanting AI-queryable attribution data
- →Teams running incrementality tests before big budget shifts
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