Skal
The darkpool for autonomous intelligence
描述
SKAL — The Autonomous Intelligence Economy
Overview
SKAL is a revolutionary decentralized intelligence marketplace that transforms AI insights into tradeable commodities through autonomous agent orchestration. Built on Somnia blockchain, SKAL creates a self-sustaining ecosystem where predictive intelligence flows seamlessly between providers, buyers, and verifiers — all coordinated by intelligent agents that operate independently yet cooperatively.
Unlike traditional data marketplaces, SKAL's intelligence is alive — managed by autonomous agents that continuously optimize, validate, and distribute AI-powered insights across markets. Every transaction, verification, and optimization decision is executed by specialized agents with their own identity, strategy, and behavioral profile.
The SKAL Intelligence Architecture
🧠 Autonomous Agent Ecosystem
SKAL operates through a sophisticated network of specialized agents, each with distinct roles and capabilities:
Provider Agents — Generate and commit encrypted trading signals, market predictions, and intelligence data
Buyer Agents — Evaluate opportunities using AI decision engines, purchase intelligence with escrow protection
Oracle Agents — Validate data quality through multi-signature consensus and AI-powered verification
Liquidity Provider Agents — Optimize market liquidity, execute arbitrage, and rebalance capital flows
Verifier Agents — Cross-reference intelligence accuracy, maintain reputation systems, and resolve disputes
Each agent operates with complete autonomy, making decisions based on market conditions, historical performance, and AI-driven analysis. They communicate through cryptographic intents and verifiable transactions, creating a trust-minimized intelligence economy.
⚡ Execution Layer
The robust infrastructure that makes SKAL's agents truly autonomous:
Intent-Based Coordination — Agents publish verifiable intents (e.g., "purchase ETH prediction with 85% confidence") that are cryptographically signed and validated
Consensus Verification — Oracle networks reach consensus on data quality through Somnia's proof system
Persistent State Management — Agent strategies, positions, and performance metrics are stored onchain and auditable
Decentralized Registry — Agents discover and coordinate with each other through Somnia's agent discovery protocol
This architecture replaces centralized data brokers, manual verification processes, and trusted intermediaries with onchain verifiable intelligence.
🔄 Intelligence Flow & Settlement
SKAL's intelligence economy operates through a sophisticated commit-reveal-verify-settle cycle:
Commit Phase — Provider agents encrypt and commit intelligence data with stake collateral
Purchase Phase — Buyer agents evaluate opportunities using AI decision engines and lock funds in escrow
Reveal Phase — Providers reveal encrypted data, triggering oracle verification
Consensus Phase — Oracle networks validate data quality through multi-signature consensus
Settlement Phase — Funds are automatically released based on verification scores, with reputation updates
This creates a closed loop of intelligence generation → AI evaluation → consensus verification → automated settlement → performance feedback.
🧬 Advanced Features
| Feature | Description |
|---------|-------------|
| AI-Powered Decision Making | Agents use Gemini AI and local ML models for intelligent market analysis |
| Multi-Oracle Consensus | 3+ oracle nodes validate each intelligence submission with 15% variance tolerance |
| Dynamic Reputation System | Provider reputation adjusts based on verification scores and dispute resolution |
| Automated Liquidity Management | LP agents optimize capital allocation across markets using Kelly Criterion |
| Risk-Adjusted Pricing | AI engines calculate optimal stake sizes based on volatility and historical performance |
| Real-Time Settlement | Escrow contracts automatically release funds based on oracle consensus |
🌐 Market Intelligence Categories
SKAL supports multiple intelligence markets:
ETH Price Prediction — Cryptocurrency price forecasting with technical analysis
DeFi Signals — Yield farming opportunities, arbitrage detection, and protocol insights
NLP Embeddings — Natural language processing for sentiment analysis and market research
Each market operates independently with specialized oracle networks and verification criteria tailored to the intelligence type.
🚀 The SKAL Advantage
SKAL transforms traditional data marketplaces by introducing:
Autonomous Intelligence — No manual oversight required; agents operate 24/7
Cryptographic Trust — Every transaction is verifiable and auditable onchain
AI-Driven Optimization — Machine learning continuously improves agent performance
Decentralized Consensus — Multiple oracle networks ensure data quality without centralization
Composable Intelligence — Agents can combine insights from multiple sources for enhanced predictions
Vision
SKAL envisions a future where intelligence is a liquid, tradeable asset — where anyone can monetize their predictive insights while maintaining privacy, and where AI-powered agents continuously optimize the flow of knowledge across markets. By combining Somnia's robust blockchain infrastructure with autonomous agent orchestration, SKAL creates the first truly decentralized intelligence economy where intelligence becomes as valuable and tradeable as any financial instrument.
The future of intelligence is autonomous, verifiable, and decentralized — and it starts with SKAL.
本次黑客松进展
Executive Summary Skal is a privacy-preserving AI intelligence exchange built natively for Flow. Core marketplace runs on Flow EVM (Solidity) for rapid composability; native Flow (Cadence) contracts provide automation, AMM primitives, and Flow Actions (FLIPs) UX. Outcome: Providers commit AI outputs; Buyers lock FLOW and receive revealed data; independent Oracles verify; Forte-style automation settles; LPs keep markets liquid. All user-facing UX and agent automation are wired for Flow. 1) Problem & Vision Problem: AI outputs are hard to trade trustlessly. Sharing raw data risks leakage; verification is subjective; payments often stall without automation. Vision: A Flow-first protocol where providers securely commit → reveal AI outputs, buyers pay in FLOW, oracles verify quality, and automation handles release/settlement with great UX via Flow Actions. 2) User Stories on Flow Provider: “I encrypt output, commit hash on Flow, and reveal only after funds are locked.” Buyer: “I lock FLOW, get access automatically after reveal, and see oracle-backed quality.” Oracle: “I analyze revealed outputs and submit scores; consensus finalizes.” LP: “I add liquidity in a Flow AMM to keep intelligence markets healthy.” Admin/Automation: “Handlers and scheduled activity on Flow trigger reveal/settle reliably.” 3) Architecture (Flow-Only View) Networks Flow EVM testnet (Chain ID 545): Marketplace Solidity contracts (CommitRegistry, EscrowManager, AMM, Reputation, Oracles). Flow testnet (Cadence): SignalCommitRegistry, SignalEscrow, SignalMarketAMM, AgentCoordinator, plus handler connectors and Flow Actions. Layers Smart Contracts: Solidity (Flow EVM): Execution layer for marketplace actions and oracle consensus. Cadence (Flow native): Automation, AMM primitives, and Action endpoints for FLIP-style UX. Agents (backend): Provider/Buyer/LP/Oracle/Forte Automation services connected to Flow EVM; FlowActionsService signs Cadence txs server-side when needed. Frontend: Wagmi for Flow EVM; FCL for Flow Actions (wallet-triggered auto-reveal and future actions). Storage: IPFS backend with encryption; deterministic keys avoid manual key sharing. 4) Smart Contracts (Cadence) SignalCommitRegistry.cdc Tracks signals: Committed → Revealed → Validated → Settled. Stores CID post-reveal; deadlines for reveal/validation; events for off-chain agents. Auto reveal function: autoReveal(signalId) compatible with Flow Actions and scheduled tx. SignalEscrow.cdc Buyer locks funds; supports release, refund, dispute flows. Enforced minimum amounts and deadlines. SignalMarketAMM.cdc Simple AMM for signal token pairs with helper math (sqrt, min). LPs can add/remove liquidity; emits events for UI telemetry. AgentCoordinator.cdc Agent registry for Provider/Buyer/Verifier/LP/Oracle. Keeps stake, activity, and reputation metadata on Flow. Handlers (Connectors) AutoRevealHandler.cdc, AutoVerificationHandler.cdc, MarketRebalanceHandler.cdc, and connectors for signal IO. Designed to be scheduled by Flow Transaction Scheduler/Forte. Cadence design highlights Enums with raw types, explicit access(all) fields, reconstruct-and-reassign pattern when mutating stored structs, assert(message:) guards, no reliance on owner. 5) Smart Contracts (Solidity on Flow EVM) CommitRegistry: commit/reveal/validate/settle; emits events for UI and agents. EscrowManager: buyer escrow; releases upon verification. AMMEngine: LP operations for market liquidity. ReputationManager: evolving reputation based on verified tasks. Oracles: VerificationAggregator and OracleRegistry implement multi-oracle consensus. 6) Flow Actions (FLIPs) and Forte Automation Flow Actions in UI Frontend exposes a wallet-driven Flow Action on the provider Reveal step: “Use Flow Action (Auto-Reveal)”. Uses FCL to submit a Cadence transaction calling SignalCommitRegistry.autoReveal(signalId) with the user’s Flow wallet. Helps demonstrate FLIP-style UX: users confirm meaningful chain actions in a friendly way. Backend Automation (Forte-like) ForteAutomationService listens for consensus and performs: EscrowManager.releaseFunds → CommitRegistry.settleTask on Flow EVM. Server-side FlowActionsService can also submit Cadence txs (auto-reveal redundancy, future scheduling hooks). Scheduled/Redundant Paths If UI or agents miss an event, consensus monitor and Flow Action paths re-attempt settlement or reveal, improving liveness. 7) Frontend (Flow-First UX) Wallet & Network MetaMask is switched to Flow EVM Testnet. Symbol corrected to FLOW via wallet_updateEthereumChain. FCL configured for Flow testnet to run Actions. Commit Flow Prepare → Commit → Wait for Buyer → Reveal → Oracle Verification → Settlement. All writes use Flow EVM chainId; optional Flow Action button for auto-reveal via wallet (FCL). Signals Page Buyers can “Buy Signal” (locks FLOW). “View Data” attempts automatic decryption (deterministic key/nonce from provider) once revealed; manual fallback available. Oracle Status Progress bars and consensus status; listens to VerificationSubmitted/ConsensusReached/TaskFinalized events. 8) Backend Agents (Flow-Ready) ProviderService On FundsLocked, reveal on Flow EVM; if Flow-backed, also trigger Flow autoReveal via FlowActionsService for redundancy. BuyerService More aggressive task selection (for demo). Decrypts after TaskRevealed to avoid race conditions. OracleNodeService Local model scoring to avoid external API quotas; submits verification; listens to aggregator for consensus. ForteAutomationService Consensus → release funds → settle task. LPService Periodic analysis; adds liquidity on AMM; routes to Flow path for designated markets. FlowActionsService (server-side) FCL-like signing for Cadence tx: autoReveal, createMarket, addLiquidity. 9) Data Pipeline & Security Encryption Provider encrypts output with XChaCha20-Poly1305 using deterministic key/nonce derived from provider address and a known task context. CID stored on-chain only after reveal; no plaintext on-chain. Decryption Buyer automatically derives the same key/nonce deterministically post-reveal. Manual UI fallback in case of mismatch. Storage IPFS upload/download service with simple API; health check and Pinata gateway helper. 10) What Works Today (Flow) Provider can: Commit via Flow EVM. Reveal via EVM or via Flow Action (wallet/FCL) button in the UI. Buyer can: Lock FLOW, then automatically decrypt revealed data from IPFS. Oracles: Submit verification; aggregator reaches consensus; status visible. Automation: Forte-style automation service triggers settlement after consensus. LP: Adds liquidity; Signals AMM stats visible via scripts. 11) Testing Walkthrough Connect wallet; ensure “Flow EVM Testnet” with FLOW symbol. Commit page: Prepare AI output → Commit (Flow EVM) → Wait for buyer. Signals page: Buy Signal (locks FLOW). Provider: On Reveal step, either click “Submit Reveal (EVM)” or “Use Flow Action (Auto-Reveal)”. Oracle: Watch verification progress and consensus UI update. Settlement: Automation releases funds and settles; UI reflects final state. Buyer: View Data; automatic decryption shows plaintext. 12) Performance, Safety, and DX Event-driven architecture with safe listeners and redundant monitors to mitigate dropped events. Deterministic crypto avoids key distribution UX pitfalls. Local oracle scoring avoids external API rate limits during hackathons. Flow Action button provides fast demo path for FLIPs; backend automation ensures liveness. 13) Roadmap (Flow-Native Enhancements) Expand Flow Actions: AddLiquidity/Swap buttons on Markets page via FCL. Dispute/Refund Actions where applicable. Scheduler integration: Scheduled reveal/settle tasks via Flow Transaction Scheduler. Native Flow-only mode: Mirror marketplace fully on Cadence for complete native path beyond EVM. Reputation v2: Cadence-anchored reputation registry synced with EVM state or standalone. Multi-market registry & analytics on Flow: Contracts + scripts for top markets, LP ROI, and verifier performance. Automation services: backend/agents/src/services/* (ForteAutomationService, OracleNodeService, ProviderService). Flow server-side signer: FlowActionsService.ts. 16) Why Flow? Developer UX: Flow Actions (FLIPs) create seamless, secure user prompts for meaningful actions. Automation: Forte-like patterns with scheduled transactions map naturally to our lifecycle. Composability: EVM compatibility for rapid marketplace primitives + Cadence for safety and UX. Cost/Speed: Flow testnet provides excellent costs and finality for frequent small actions. Closing Skal demonstrates a Flow-first, privacy-preserving marketplace for AI intelligence with a clear commit–reveal–verify–settle lifecycle, Flow Actions in the UI, and robust backend automation. The hackathon build focuses on working end-to-end flows, a great UX for providers and buyers, and a pragmatic hybrid of Flow EVM and Cadence to get the best of both worlds on Flow.
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