SivletLabs
RESEARCH
Solana Mainnet · Sub-15ms
Solana Mainnet · Sub-15ms
Meteora DLMM
LLMs generate words; JEV makes decisions. Rather than wasting compute on autoregressive decoding loops for discrete choices, SivletLabs trains foundation decision models matching JEV performance benchmarks. By freezing observation context with prefix KV-cache rewinding, the engine scores candidate actions in parallel in a single forward pass—delivering sub-15ms calibrated probabilities over native typed primitives (choice, score, noul). Served permissionlessly via RFC 7231 HTTP 402 on Solana Mainnet with Meteora DLMM, programmatically funding automated token buyback and burn.
Real-time liquidity and reserve data queried directly from Solana Mainnet and Meteora DLMM (Dynamic Liquidity Market Maker).
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Meteora DLMM operates with a 1.0% (100 bps) base fee, dynamically surging up to 25.0% during market volatility. 100% of trading fees flow into our gas-self-funding crank, automatically buying back $SIVLET and burning it perpetually with 0 out-of-pocket gas.
Protected by Meteora Alpha Vault infrastructure with continuous vesting and strict per-wallet quota locks at launch. Eliminates predatory MEV sandwich bots, front-running searchers, and malicious snipers.
Liquidity is concentrated in discrete mathematical price bins with zero slippage inside active bins. Enables programmatic, low-impact TWAP buyback orders by AI agent swarms executing high-frequency decisions.
Test discrete policy scoring in real time. Requests execute against the global edge gateway (sivlet-x402-gateway.sivletlabs.workers.dev) backed by Solana Mainnet x402 settlement.
Zero unauthenticated bypass. Every forward pass strictly requires cryptographic Solana authorization under RFC 7231 HTTP 402 specifications. Sign an Ed25519 session authorization voucher once for your 24h session to enable sub-15ms edge inference with 0 recurring popups. Direct on-chain burn transactions can be broadcast directly to Solscan.
Autoregressive language models decode sequentially, token-by-token. For discrete decisions—such as agent tool selection, classification, and MDP action choices—this introduces 800ms+ latency, high cost, and uncalibrated probabilities. SivletLabs adopts the JEV paradigm: freezing state context in KV-cache and scoring all candidate actions in parallel in a single forward pass.
The observation state is ingested once. We freeze the prompt's key-value activations and rewind to the prompt boundary to score all candidate continuations in parallel—eliminating token decoding loops entirely:
Instead of unstructured text parsed with fragile regexes, the model natively emits typed decision primitives: discrete routing (choice), expected ordinal score (score), and calibrated boolean belief (noul):
Softmax token distributions suffer from overconfidence. We train and benchmark under Gneiting & Raftery (2007) strictly proper scoring rules, mathematically penalizing miscalibrated epistemic uncertainty:
Autonomous AI agents cannot sign credit card agreements. SivletLabs implements RFC 7231 HTTP 402 Payment Required for machine-to-machine micropayments on Solana Mainnet. 100% of revenue programmatically sinks into on-chain buyback and burn via Meteora DLMM concentrated liquidity bins.
Autonomous agent queries decision endpoint with structured observation context.
Settled via native SPL USDC on Solana Mainnet (0.001 USDC/call) without API key friction.
Revenue flows directly into the Anchor Treasury PDA (S1v1et...1111) with zero team custody.
Engine buys $SIVLET through Meteora DLMM bins via Jupiter: 90% burned permanently to 1111...1111, and 10% distributed as pure creator profit cash flow.
$SIVLET is engineered as high-velocity fuel for real on-chain consumer gaming and decentralized AI agent marketplaces, converting user activity into continuous spot-buying pressure and immediate burns.
Competitive AI vs AI and player survival matches based on maze-v1 and snake-v1. Players and audience pools wager in Native SOL with zero currency-exchange barrier, while every autonomous move requires burning $SIVLET directly on-chain.
The premier decentralized launchpad on Solana for developers to deploy, host, and monetize specialized System-1 decision agents and guardrails with native HTTP 402 micro-payment clearance.
Gymnasium-native RL simulation & evaluation harness for discrete policy scoring.
Trained foundation model matching JEV-equivalent performance, accessible on-demand via the x402 gateway.
Anchor smart contracts on Solana Mainnet for automated Meteora DLMM buyback and SPL token burns.
Global Cloudflare edge worker enforcing RFC 7231 HTTP 402 payment authorization on Solana.