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Sports AI
✓ verifiedFree trial
AI odds engine that computes its own match probabilities and compares them to bookmaker lines across 11 sports to flag positive-value bets.
72K visits/mo
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Boost.space
✓ verifiedPaid
Data-foundation platform unifying product, customer, and order data via 2,600+ integrations to power AI agents for e-commerce ops.
95K visits/mo
Pricing
Monthly Professional: $6.99/month (after a 1-day free trial)
Lifetime Enterprise: $34.99 one-time
Free trial available
No public pricing
MM Prime: TWD 6,500/year
MM Max: Prime Annual Exclusive
MM Business: TWD 150,000/year
API Essential: TWD 150,000/year
Custom Solutions: Custom Plan
No public pricing
Core features
- ✦Model-derived 'true' odds compared against 40+ bookmakers
- ✦Continuously refreshed positive-edge value-bet stream
- ✦Free live match predictions with confidence percentages
- ✦Coverage across football, basketball, tennis, cricket, and more
- ✦Full audit trail of logged and settled bets
- ✦Chat-based betting bot assistant
- ✦Free AI sports picks and predictions
- ✦AI Daily Parlay Builder (Premium)
- ✦Free AI Cheat Sheets
- ✦Contact form for support
- ✦Dynamic Charts
- ✦Economic Data Consolidation
- ✦Fundamental Analysis Tools
- ✦Community Insights
- ✦2,600+ native integrations
- ✦Two-way data synchronization
- ✦Unified single-source-of-truth database
- ✦Ready-to-deploy AI agents (PIM, pricing, enrichment)
- ✦Sits under automation tools (Make, Zapier, n8n)
- ✦Enterprise security (ISO 27001, SOC 2, GDPR)
Use cases
- →Bettors looking for statistically positive-value wagers
- →Users wanting free live win-probability predictions
- →Bettors tracking model performance transparently over time
- →Using AI-driven insights to make more informed sports betting decisions.
- →Building daily parlays with automated AI selections (Premium).
- →Analyzing economic cycles to inform investment decisions
- →Creating custom charts to visualize market trends
- →Accessing exclusive reports for in-depth market analysis
- →Centralizing and cleaning product catalog data
- →Automating product enrichment and pricing
- →Syncing data across suppliers and channels
- →Powering AI agents on unified business data
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