Crypto Casino
Torrent Gear
AI management of payments and crypto operations
Architecture (general)
1. AI Payment Brain
The agent (s) receive the events (deposit, withdrawal, transfer, crosschain), access the providers/networks, count the cost/ETA and choose a route. Decisions are signed and logged.
2. Payment bus
Connections to banks/e-wallets/local methods, on-/off-ramp, L1/L2, bridges. Unified API, retrai, idempotency.
3. Risk and anti-fraud
Graph of addresses and devices, behavioral models, sanctions sheets, limits by jurisdiction, velocity rules, device-graph.
4. Identity and compliance
KYC/AML, verifiable credentials (VC), age/geo zk proofs, RG policies (deposit/time limits).
5. Data and observability
Real-time telemetry (latency, success-rate), tracing, SLA/ETA dashboards, audit logs, build hashes.
6. Contracts/Treasury (if Web3)
Reserve pools, exposure limits, timelock/multisig for changes, public reports.
Key Scenarios (End-to-End Flows)
Autorouting deposit
The agent checks the country, currency, limits, current commissions and uptime of providers → selects the method with the best cost-to-speed → gives the user an understandable map of steps. In case of failure - retray to the backup route.
Output from smart-ETA
The agent predicts finality over the network/bank, checks risks (speed, limits, RG) → reports the exact ETA and commission. If the risk ↑, requests an additional policy check and keeps the user informed of the status.
Crosschain translation
The agent evaluates the bridges, liquidity, caps and commissions → divides the amount along several routes (split) to accelerate and reduce the risk → fixes the stages profs.
Stable-routing
From fiat currency → to stablecorzine (for example, multi-stable) → then to the target network with minimization of slippage and commissions.
Antifraud "without conflict"
If anomaly - soft communication with explanations, checklist of actions, ETA revision. Locks - only with justification and case number.
Technology stack
LLM/ML agents: route ranking, ETA/commission forecast, status summarization, generation of explainable responses.
On-device model: private risk signals and UX prompts without sending PII.
Payment connectors: banks/e-wallets/local methods, on-/off-ramp, L2, bridges, custody.
Verification: solution signatures, model/rule hashes, (partially) zk evidence of data policy compliance.
Reliability: queues, deduplication, idempotent keys, canary releases.
UX no crypto pain
Clear statuses: "In processing by the bank," "On the way over the network," "On the bridge," with timers and a checklist.
Transparent commissions: all-inclusive calculation before confirmation.
Sponsored gas (L2): predictable cost per click.
Handoff: QR/Deep Link between web and mobile wallet; single status tracker.
Availability: large fonts, subtitles, contrast, no motion sickness mode.
"Training" mode: demo payments on test networks, term hints, glossary.
Compliance, RG and Privacy
zk-KUS/age/geo: "yes/no" -proofs without PII disclosure; na-chain - hash/match mark only.
Policies as code: deposit/time limits, lists of approved methods/networks, regional control.
RG triggers: limit reminders, soft pauses, self-exclusion, transparency of stories.
Audit: unchangeable activity logs, build hashes, understandable reports for regulators and partners.
Security: from code to economics
Anti-MEV/anti-front-running: private relays, disclosure delays, confirmation thresholds.
Bridges: limits, diversification of reserves, event monitoring, insurance.
Formal verification of criticism: invariants of payments/limits, the absence of "sticking" of funds.
Upgrades: timelock + multisig + canaries; circuit breaker on anomaly.
DLP and segmentation: PII protection, payment data tokenization, the principle of least privileges.
Success Metrics (KPIs)
UX/operations: p95 confirmation, auto rate of payments, share of retrays, smart-ETA accuracy, crash-free rate.
Finance: $1 average transfer fee, on-/off-ramp success, split route efficiency.
Safety/compliance: incidents per 10k tx, time to patch, zk-KYC coverage, proportion of blocks by geo/age.
Antifraud: false positive/false negative, average unblocking time, proportion of appeals.
RG: share of players with limits, frequency of "breaks," decrease in extra-long payment/withdrawal sessions.
Roadmap 2025-2030
2025-2026 - Pilots
Connecting 3-5 key methods/networks, AA wallets and sponsored gas on L2.
Agent V1: autorouting deposit and smart-ETA output.
zk-proof age/geo; public dashboards of statuses and commissions.
2026-2027 - Operational Maturity
Multi-agent orchestration (routing, anti-fraud, breeches).
Cross-chain split payments, safety module of reserves, partial formal verification of logic.
2027-2028 - Ecosystem
Market plugins of providers (banks, on/off-ramp, bridges) with ratings and SLA.
Extended zk data policies; private relays vs. MEV.
2028-2029 - Composibility
"Payment as a service" for external products, general liquidity pools.
Uniform event standard (RG/AML/payout) for fronts: web/mobile/TV/VR.
2030 - Industry Standard
Verifiable default AI hints, ubiquitous AA-UX, seamless multiset.
Public SLA guarantees and on-chain proof-of-payouts.
Pilot checklist (practical)
1. Connections: select 2-3 deposit methods, 1-2 off-ramp and 1 L2 network with low commission.
2. Agent V1: autorouting + smart-ETA, solution signing and logs.
3. Compliance: zk-age/geo, basic RG-limits as code.
4. Safety: bridge limits, timelock/multisig, emergency pause.
5. UX: transparent commissions, statuses, handoff via QR/Deep Link.
6. Metrics: p95 confirmation, success on/off-ramp, ETA accuracy, incidents/10k tx.
7. Iterations: weekly releases, A/B routes, expansion of providers.
AI management of payments and crypto operations is speed + verifiability + user care. Agents choose optimal routes, prevent fraud and explain each action in human language, and RG/AML policies are executed as code. Products win, where the payment becomes a predictable "back," and the user sees the main thing: fair terms, transparent commissions and understandable statuses at every step.