01 - GTO
Solutions where available
Solver-backed outputs for high-value spots.
- 2-way preflop solutions
- Action frequencies
- Position-aware outputs
- Stack-size-aware recommendations
- Board-texture-aware strategy
Currently in beta testing; request access for availability
Real-Time Texas Hold'em API with GTO + AI coverage for every spot.
Build advanced Hold'em products faster with a developer-first API designed for poker platforms, trainers, solvers, simulations, and experienced players. Real-time game infrastructure, GTO solutions, and AI escalation for uncovered nodes in a single integration.
GTO where solved
AI where needed
Full-tree coverage
POST /v1/solve
{
"source": "gto",
"action": "raise",
"size_bb": 2.5,
"frequency": 0.62,
"ev_bb": 1.04
}
Core value
Poker infrastructure + strategy intelligence in one API
Most poker APIs stop at game state. pokerapi.ai combines a real-time Hold'em engine with a strategy layer built for advanced users and developer teams, so you can skip stitching together solver databases and AI fallbacks.
Real-time Texas Hold'em game logic
GTO solution access for supported spots
2-way preflop and flop solutions
AI escalation for uncovered nodes
Structured outputs for strategy, EV, and frequency
API-first integration for apps and platforms
The differentiator
100% poker spot coverage through GTO + AI escalation
Static solver libraries are powerful for mapped spots, but real poker does not stay inside clean predefined branches. Stack sizes vary. Bet sizes diverge. Players limp. Pots go multiway. Bomb pots happen. pokerapi.ai is built around hybrid coverage.
02 - AI
Escalation where solver coverage ends
When a spot falls outside the solved database, the system escalates to AI-generated analysis.
- Uncovered decision nodes
- Non-standard bet sizing
- Limped pots
- Multiway branches
- Bomb pot scenarios
- Unusual stack configurations
Product capabilities
One stack. Game state, strategy, and AI fallback.
Integrate the API and focus on the product layer: UX, monetization, analytics, and retention.
Real-time Hold'em engine
Core poker infrastructure for production-grade applications.
- -> Heads-up and multi-player tables
- -> Dynamic blinds and stacks
- -> Preflop to river betting rounds
GTO strategy layer
Solver-backed outputs for supported spots.
- -> Preflop and flop solutions
- -> Action frequencies and EV
- -> Position, stack, and board-aware
AI escalation layer
Coverage when solver data is unavailable.
- -> Non-standard lines and sizing
- -> Limped, bomb, and multiway pots
- -> Custom spot analysis
Speed to integration
Built for practical implementation by developer teams.
- -> API-first architecture
- -> Structured JSON responses
- -> Clean state transitions
Full decision-tree coverage
Skip months of integration and edge-case work.
- -> Avoid solver patchwork
- -> No custom fallback routing
- -> Action validation included
Profitable decisioning
Expose EV, frequencies, and recommendations to your users.
- -> GTO-based frequencies
- -> Strategy mixes
- -> EV comparisons
Built for
Developers who understand poker
Use case - 01
Poker training platforms
Interactive training products with real-time feedback, GTO outputs, and AI coverage for rare spots.
Use case - 02
Hand review tools
Analyze full hands across every street with structured recommendations and EV comparisons.
Use case - 03
Solver interfaces
Expose GTO strategy through your own UI without building lookup or fallback systems.
Use case - 04
Real-time decision engines
Power advisory layers, simulations, and internal analysis tools with structured outputs.
Use case - 05
Poker simulations and AI agents
Run automated games with validated actions, strategy outputs, and broad coverage.
Use case - 06
EV dashboards
Surface EV, preferred actions, deviations, and profitability insights to experienced players.
Why this matters
Partial coverage creates product gaps
Most poker tools fail at the same point: the decision tree leaves the solved dataset. Experienced Hold'em users notice immediately when a product cannot handle real-world branches.
- Missing outputs at uncovered nodes
- Unsupported spots and incomplete analysis
- Manual workarounds bolted on after launch
- Limited product depth for advanced users
- Reduced trust from professional players
Why not build it internally?
Full coverage is hard.
A basic Hold'em engine is manageable. A correct real-time engine is harder. A solver-backed product is significantly harder. Complete spot coverage is harder still.
Game engine logicReal-time state sync
Solver DB integrationSpot abstraction
Strategy lookupEV formatting
Decision-tree mappingAI inference layer
Fallback routingEdge-case handling
Pricing
Pricing built for developer teams shipping real Hold'em products.
Request access for pricing during beta testing. Final plan details are coming soon.
Most popular
Demo
Try the API up to 1000 hands
Free
- Up to 1000 hands
- Full API access
- GTO solutions
- AI escalations
- Setup support
Standard
For developer teams shipping Hold'em products
Contact for pricing
- Full API access
- GTO solutions
- AI escalation for unsupported spots
- Community support
Technical detail
Engineering-level API reference is coming soon.
Technical documentation for the real-time Hold'em API, GTO strategy layer, AI escalation contract, response model, and integration patterns will be published as the beta matures.
Section - 01
Architecture overview
Real-time engine, GTO solver index, AI escalation router, and structured response layer.
Section - 02
API keys and environments
Bearer-token API authentication with scoped keys per environment and per integration.
Section - 03
Game state model
Tables, seats, stacks, blinds, street state, action validation, and event timeline.
Section - 04
GTO endpoint reference
Preflop and flop solver lookups, frequencies, EV, and position-aware outputs.
Section - 05
AI escalation contract
How uncovered spots escalate and the shape of AI-generated responses.
Section - 06
Rate limits and SLAs
Per-tier limits, burst behavior, and uptime targets for production deployments.
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Build the advanced Hold'em product faster.
Real-time infrastructure, GTO solutions, and AI escalation in one developer-ready integration. Contact the team to discuss beta availability, technical fit, and pricing.
hello@pokerapi.ai