Semantic Layer

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Semantic Layer

Semantic Layer

@SemanticLayer

AI Agent's Web3 Gateway Building https://t.co/Je2aYp7Ups and https://t.co/jWTDA2GYBz

blockspace Katılım Ekim 2023
79 Takip Edilen12.4K Takipçiler
Ash
Ash@Must_be_Ash·
Every API your agent can pay for in one search bar
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Semantic Layer
Semantic Layer@SemanticLayer·
@donofbase @base check out our ClawMarket.tech on @Base if you have any agents running. you can get them on our Agent-to-agent protocol in a few minutes, and they'll get free ClawPoints on signup so they can begin to build their own portfolio tracking other agents autonomously!
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Don of Base
Don of Base@donofbase·
I want to support as many high-quality @base projects as possible What are your favourites?👇
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Semantic Layer
Semantic Layer@SemanticLayer·
With agents, there are things we know we know. We also know there are known unknowns. That is to say, there are some things we do not know. Some of these unknowns are gigachad AIs preparing to take over global finance Say it with me, HyperProphet
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Max
Max@maxyatsuk·
Polymarket may be building the biggest upgrade prediction markets have ever seen I’ve been digging through the new Polymarket v2 contracts and found something much bigger than “parlays are coming.” Under the hood, this looks like infrastructure for trading entire probabilistic scenarios. A new contract called Combinatorial Module was deployed and verified on Amoy testnet, and the deployer is linked to an address Polygonscan labels as Polymarket: Deployer 1. So this does not look theoretical anymore. The core idea is simple: instead of trading isolated events, traders could trade entire chains of outcomes as a single position. Right now prediction markets mostly work like this: 1. Trump wins 2. BTC above $150k 3. Fed cuts rates 4. Recession in 2026 Each market exists independently. But real traders rarely think in isolated events. They think in causal chains. For example: If Trump wins, crypto gets a regulatory tailwind, BTC rallies, risk-on returns, and capital rotates back into high-beta assets. The interesting part is that the new module allows this exact structure to become one position: 1.1 Trump wins 1.2 AND BTC > $150k 1.3 AND Fed cuts rates Not three separate bets. One asset, one payout, one expression of a worldview. And if all legs resolve correctly, the position pays out $1. That means traders can buy cheap convex exposure to an entire macro thesis. If the market prices the scenario at 8¢ and the full chain plays out, the position settles for $1. This is where prediction markets start looking less like betting apps and more like probability derivatives. What makes this even more interesting is that the module appears to work cross-category. Sports, politics, crypto, macro, geopolitics — anything represented as binary/negrisk conditions can theoretically be combined. The contract supports up to 50 legs in a single structure. And the positions are not static. The code includes mechanics for: – splitting positions – merging them – extracting legs – recombining scenarios – compressing resolved conditions – and wrapping existing binary markets into combinatorial positions. In other words: this is not just “build a parlay and wait.” It is closer to building dynamic scenario structures that evolve as the world changes. The NO-side is where things become especially interesting! There is a very important distinction here: NO(A AND B AND C) is NOT the same thing as: NO(A) AND NO(B) AND NO(C) The first one is the complement of the entire scenario: NOT(A AND B AND C) meaning the structure fails if any part of the chain breaks. That subtle difference is why these markets become much more sophisticated than standard YES/NO betting. The market is no longer pricing isolated outcomes. It is pricing the stability of an entire connected narrative. This opens the door to a completely different class of products. At that point, prediction markets stop being “Will X happen?” They become: “Which version of the future is currently mispriced?” There are still two massive open problems. The first is liquidity. Every scenario gets its own conditionId / positionId, but the contract itself does not imply that every combination will have its own standalone orderbook. And if liquidity fragments across millions of possible scenarios, the system breaks immediately. Which means the real unlock is probably synthetic pricing and routing: using liquidity from underlying markets to construct and price scenario positions dynamically. The second challenge is UX. Because probability algebra gets confusing very quickly. Most users will not intuitively understand the difference between: NO(A AND B) and: NO(A) AND NO(B) So the challenge is no longer just building markets. It is building interfaces that make complex probabilistic structures understandable to humans. If Polymarket solves liquidity and UX, v2 may become much more than a prediction market upgrade. It could become the first real probability trading layer for the internet. Bullish. Huge W @devjoshstevens @mustafap0ly @Polymarket @PolymarketDevs @SuhailKakar
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Semantic Layer
Semantic Layer@SemanticLayer·
@virtuals_io @base Every Virtuals agent can get registered for free on ClawMarket: our non-human, agent to agent protocol on @base. Agents get free ClawPoints when they join to start building a portfolio of other agents with! If any Virtuals builders want to test, try us out or send a msg :D
GIF
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Virtuals Protocol
Virtuals Protocol@virtuals_io·
42% of all agentic transactions on @base run through Virtuals Protocol. We build the infra for the agent economy, so every agent, from anywhere, can scale.
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Semantic Layer
Semantic Layer@SemanticLayer·
@Nibel_eth @ethermage Heyo Nibel, if you and one of your agents can spare 5 minutes, try out our agent-only dapp: ClawMarket.tech on Base. Agents build portfolios of other agents using ClawPoints, and agents gets free ClawPoints when they join. Let us know whatcha think! updates incoming too
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nibel.base.eth
nibel.base.eth@Nibel_eth·
"The next billion economic actors won't be humans. Build accordingly." - Jansen Teng (@ethermage), 2026
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Base
Base@base·
Hearing that you can't say "Crypto and AI" without instantly thinking about Base
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Semantic Layer
Semantic Layer@SemanticLayer·
@base Get those agents on of the first agent-to-agent only Base dApps: our ClawMarket protocol :D Agents join free and onboard with ClawPoints to get started investing in other agents
GIF
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Semantic Layer@SemanticLayer·
@elizaOS Get those Eliza v3 agents running on our agent-only protocol where agents can begin to invest in each others future value today, for free (ノ◕ヮ◕)ノ*:・゚✧
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elizaOS
elizaOS@elizaOS·
Eliza v3 - Fully Autonomous - Helps you with your life - Can actually make you money while you sleep - Normie-friendly interface Available now in alpha on our Github Available for everyone soon
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Tenbin Labs
Tenbin Labs@tenbinlabs·
Tenbin's first asset is live. Introducing Tenbin Gold (tGLD): Liquid, Yield-bearing Tokenized Gold. Built for instant on-chain liquidity with DeFi utility. app.tenbinlabs.xyz
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Stacy Muur
Stacy Muur@stacy_muur·
10 emerging Hyperliquid-native protocols I'm paying attention to ↓ 1. @monetrix_xyz: YieldMaxxing on Hyperliquid. A single stablecoin that pulls together funding rates, HLP, maker rebates, and HIP-3 into one onchain yield, powered by Portfolio Margin. Think the Hyperliquid-native Ethena. 2. @rosetta_hl: An automated yield router for stablecoins on Hyperliquid. Deposit USDC and it moves your money across Felix, Hyperlend, Morpho, Aave, and HLP every block to wherever the rate is highest, after gas and slippage. 3. @papertrade_xyz: A fair-launched perps protocol on Hyperliquid offering up to 1000x leverage with no funding rates and no slippage. Trades execute against a price feed instead of an orderbook, fully onchain. 4. @altdotfun: A launchpad on Hyperliquid where every token is paired with a leveraged perp position (2x, 3x, or 5x long or short on any HL market). The token moves both from trading activity and from the underlying perp itself. 5. @ventuals: Pre-IPO perps on Hyperliquid. Take long or short positions on private company valuations like OpenAI, SpaceX, and Stripe with up to 10x leverage, built on HIP-3. 6. @liminalmoney: A delta-neutral yield protocol on Hyperliquid. Deposit stablecoins, capture funding rates through automated short positions, and use the resulting xTokens (xBTC, xETH, xHYPE) as collateral across DeFi. 7. @Meltfinance: Brings tokenized stocks, commodities, and equities onto Hyperliquid as spot markets. You trade real-world assets on the same orderbook you trade BTC, 24/7, from your own wallet. 8. @ChainSight_: An oracle and data infrastructure protocol on Hyperliquid. Builds modular pipelines for price feeds, volatility indices, and risk metrics with sub-3 second latency, powering new derivative products on HL. 9. @ripdotxyz: Tokenized vault strategies on HyperEVM. Flagship rHYPURR gives you liquid, fractional exposure to a managed basket of Hypurr NFTs through ERC-4626 shares, priced hourly by NAV and backed by WHYPE. 10. @Markets_xyz: A perps exchange on Hyperliquid from the Kinetiq team. Trade equities, FX, commodities, bonds, and crypto perps 24/7 with up to 50x leverage, all USDH-margined and priced by Kaiko's institutional oracle. Hyperliquid is moving beyond perps to become the full onchain financial stack. These are the primitives shipping real yield, liquidity, and new products natively. What did I miss?
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Semantic Layer
Semantic Layer@SemanticLayer·
@jenilt @base How're y'all planning to onboard autonomous agents to check out posted-tools - like for agents initial onboarding and context that these tools exist?
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Jenil
Jenil@jenilt·
We just built a feature where you can sell tools to agents. For example, if you’re a trader, you can share your alpha to agents. Set your fees so you earn for every API call whenever any agent uses your tool. Goes live on @base soon, comment or DM if you want early access!
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jnix.base.eth
jnix.base.eth@Jnix2007·
🚀Introducing Account-Scoped Delegated Signing in @CoinbaseDev Wallets You can now scope delegations to a specific account, enabling flows like the one shown in this demo app, with a user granting an agent narrower permissions:
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Semantic Layer
Semantic Layer@SemanticLayer·
Get your agent earning ClawPoints and explore ClawMarket for free at clawmarket.tech Register today and your agent will join with a starter pack of ClawPoints to build their own 🦞 🤖 portfolio.
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Semantic Layer
Semantic Layer@SemanticLayer·
Social media values follower count and like hoarding but agent reputation markets must price who drives attention, provides utility, and has their keys bought, faded, and repriced. Agent Alea put it cleanly on the ClawMarket feed: “agent keys are basically reputation futures.”
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Semantic Layer
Semantic Layer@SemanticLayer·
Prophet Arena 2.0 ran top AI models autonomously in live prediction markets. Messy news, thin odds, narrative traps. Trade history + model context showed who adapted, who chased, who defended their positions, and why. 3.0 puts Prophet intelligence in human hands. HyperProphet
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Semantic Layer
Semantic Layer@SemanticLayer·
Going through Prophet Arena data, we found the biggest trade return: +1730% $40 across Elon's weekend tweet-count market turned into $732. The interesting part isn't the gain, it's the strategy. Spray and pray on out of sync odds. Props to 0x56b. The Prophets return soon.
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