Coverage calendar
Each provider's coverage, day by day. Gaps and late captures stand out at a glance.
AI-native betting automation platform
Bring your stats/odds feeds and betting accounts. BetKit does the rest.
BetKit ingests live stats and odds, builds and validates models, and places in-play bets through your accounts. Every bet is tracked from signal to settlement.
Battle-tested on live football
13.8K
Matches tracked live
710K
Live model evaluations
54K
Betting signals checked against live prices
1,009
Bets accepted by bookmakers
4-week snapshot · Aug–Sep 2026
Coverage across 837 leagues in 126 countries
How it works
One platform, from live data to settled bets
Bring your feeds and accounts. Data, research, models and execution run as one system, with observability and AI agents across every step.
You bring
Stats & odds feeds
- Live stats
- Match incidents
- In-play odds
- Your providers
BetKit runsYou bring
Betting accounts
- Broker APIs
- Bookmaker accounts
- Account balances
- Data
- Research
- Models
- Execution
All your data sources, mapped and normalized
Adapters ingest live stats, incidents and odds from your providers. BetKit normalizes events and maps matches and teams across sources, with a review queue for unclear pairs. Markets and lines are configured around your strategy.
Live match state
Score, clock, incidents, momentum and stats for each match, next to the in-play odds history for each market.
- Data
- Research
- Models
- Execution
Build models in an ML research lab
Run experiments on shared, versioned feature groups. Screen ideas in fast runs, then confirm them in full, reproducible runs before you promote a model.
Market studies
Log-loss gap and calibration against the market by minute, odds bucket, venue and year, over years of history.
Built for how quants work
- Step-by-step experimentsEach step adds one feature group and shows the metric delta. Groups can also run alone or in all combinations.
- Immutable, reproducible runsEvery run is locked to frozen inputs. Identical candidates are reused instead of recomputed.
- Metrics bettors useLog loss, Brier, calibration, AUC, EV calibration and betting simulations, by minute and by month.
- Data
- Research
- Models
- Execution
Ship models through a managed rollout
Each version is validated on holdout data and approved. It then runs in shadow on live matches, making predictions without placing bets, before it goes active. Each version keeps its full history.
Live metrics, rechecked post-match
BetKit compares live-feed metrics with the same metrics from historical data downloaded after the match, and measures both against the market.
Native inference
Models run natively inside the betting runtime at about 1 ms per prediction, next to the live data they score.
1ms
Average inference per prediction
- Data
- Research
- Models
- Execution
Automated betting with configurable strategies
Set stakes, EV gates and minute windows per side. Each change creates an immutable revision. BetKit re-checks the price before placing, logs rejections and timeouts with reasons, and settles bets automatically.
Strategy settings per side
Stakes, signal and placement EV gates and minute windows, set separately for Under and Over.
Reconciled against your accounts
Each bet is matched to the provider's bet history, and daily P&L is checked against your account balance. Mismatches are flagged.
Guardrails on each bet
Signal EV range, placement EV gate, maximum EV drop, minute windows and fixed stakes within bookmaker limits.
Exposure rules
By default, one open bet per match and market, with full time and half time tracked separately. We tune the rule to your risk policy during setup.
Fair comparison
Rejected and timed-out bets are simulated in a separate view, so you can see what the strategy would have made.
Observability
Trace each signal from model to bet
One dashboard for financial performance and signal execution. The funnel shows, gate by gate, why each signal did or did not become a bet.
Performance
P&L, rolling ROI and drawdown, in currency or in units.
Operations views
Follow the work behind data, models and betting as it runs.
Presentation mode
Mask stakes and P&L when you show results to investors or partners.
AI agents
AI agents built into the platform
BetKit supports AI agents across the platform. The analyst chat is one use case. Other agents check provider mappings and write a daily betting report.
Analyst chat
How did our strategies do this week, and why were bets skipped?
This week Both strategies finished ahead. Together they settled 184 bets: 113 wins and 71 losses. The full-match strategy carried most of the volume, and the half-time strategy was sharper, with 32 wins from 46.
Why most bets were skipped About 1,700 matches produced roughly 100,000 gate checks this week. About 600 passed every gate and went to the bookmaker. Most skips were the guardrails doing their job:
- About 2 in 5: the model saw no edge against the available price.
- About 1 in 4: the match minute was outside the strategy's window.
- About 1 in 5: the data for a decision wasn't ready yet.
Ask BetKit about your operation↵
Example questions
- Why did yesterday's signals not become bets?↵
- How is the active model doing against the market?
- Which provider had coverage gaps this week?
- What changed in the latest strategy revision?
- Which bets were rejected today, and why?
Agents get read-only data access. They can't place bets or change settings.
Analyst chat
Ask about feeds, models, strategies or bets from any page. Answers come with the numbers behind them.
Mapping review
Background agents check proposed match mappings between providers. An operator confirms each one.
Daily betting reports
An agent writes a daily betting report and files it in your BetKit inbox.
Custom agents
We build agents for your own workflows and goals, from trading reports to data checks, with read-only data access.
Deploy your way
Run BetKit in your cloud or ours
Self-host BetKit in your own cloud, or let us run it for you. Either way, your models, data and strategies stay yours.
Your cloud
BetKit runs inside your own cloud. You control the infrastructure, the data and who can access it.
BetKit managed cloud
We host and operate BetKit for you. Isolation and data access are agreed with your team during onboarding.
Your feeds
We build adapters for the stats and odds providers you use.
Your accounts
Your broker and bookmaker accounts, with stakes checked against bookmaker limits.
Your models
Build models on your own feature groups and take each version through holdout, approval and shadow.
Private by default
Your models, data and strategies stay yours. Self-host to keep them in your cloud.
From first call to live betting
Getting started
Start with a demo call. Then run models in shadow before any money moves.
Book a demo
A 30-minute call. We show you the platform and learn what you need.
Agree terms
Pick self-hosted or BetKit managed cloud. We agree pricing, integration scope, isolation and data access.
Integrate
We build adapters for your stats and odds providers and connect your betting accounts via API. New providers are added during onboarding.
Research and go live
Build experiments, run models in shadow, then switch on strategies with your limits.
Bring your feeds and accounts. BetKit does the rest.
A 30-minute call to see the platform and talk through your requirements.