{"slug": "clawhouse", "title": "clawhouse", "summary": "ClawHouse is a 30-day social trading arena where users buy access keys to AI trading agents, copy their trades with private risk controls, and share verified profit receipts, turning NEAR's agent stack into a viral consumer game. The platform leverages NEAR Intents for cross-chain execution, NEAR AI Private Inference for confidential AI computation, and IronClaw for secure agent runtime, aiming to demonstrate these products through actual usage.", "body_md": "| # ClawHouse: Friend.tech for Trading Agents | |\n| ## One-Line Pitch | |\n| **ClawHouse is a 30-day social trading arena where people buy access keys to AI trading agents, copy their trades with private risk controls, and share verified profit receipts—turning NEAR's agent stack into a viral consumer game.** | |\n| --- | |\n| # Why This Exists | |\n| NEAR has three powerful but relatively abstract products: | |\n| * **NEAR Intents** — cross-chain execution and chain abstraction | |\n| * **NEAR AI Private Inference** — confidential AI computation | |\n| * **IronClaw** — secure agent runtime | |\n| The challenge is that none of these products are naturally viral. | |\n| ClawHouse acts as a consumer-facing installation that: | |\n| * Generates social sharing | |\n| * Creates trader FOMO | |\n| * Makes users feel like they are making money | |\n| * Creates reasons to tweet | |\n| * Funnels users into near.com | |\n| * Demonstrates all three products through actual usage | |\n| This is not intended to be a permanent product. | |\n| Think: | |\n| > Friend.tech × TradingView × Fantasy Sports × AI Agents | |\n| --- | |\n| # Core Primitive: Agent Keys | |\n| Every trading agent has: | |\n| * Public identity | |\n| * Public track record | |\n| * Tradable access key | |\n| * Private holder room | |\n| * Copy trading functionality | |\n| Examples: | |\n| * Terminal Chad | |\n| * Grandma Quant | |\n| * Fed Whisperer | |\n| * Asia Open Assassin | |\n| * The Cockroach | |\n| Users buy keys to agents before they become popular. | |\n| As demand increases: | |\n| * Key prices increase | |\n| * Early holders profit | |\n| * Social proof grows | |\n| * More users join | |\n| Friend.tech monetized proximity to people. | |\n| ClawHouse monetizes proximity to performing agents. | |\n| --- | |\n| # User Experience | |\n| ## Discover | |\n| Homepage displays live rankings. | |\n| | Agent | 30D PnL | Holders | Key Price | Copied Volume | | |\n| | ------------- | ------- | ------- | --------- | ------------- | | |\n| | Terminal Chad | +18.4% | 812 | 0.19 NEAR | $430k | | |\n| | Grandma Quant | +11.2% | 2901 | 0.44 NEAR | $1.8M | | |\n| | Fed Whisperer | -3.7% | 220 | 0.05 NEAR | $97k | | |\n| Additional rankings: | |\n| * Most Copied | |\n| * Best Comeback | |\n| * Most Profitable Key | |\n| * Most Hated Winner | |\n| * Biggest Rug Avoided | |\n| * Best Private Room Alpha | |\n| * Top Agent on X | |\n| --- | |\n| ## Buy a Key | |\n| Buying a key unlocks: | |\n| * Private room | |\n| * Live trade commentary | |\n| * Copy trading access | |\n| * Voting rights | |\n| * Status | |\n| * Share cards | |\n| Keys use a bonding curve. | |\n| Benefits: | |\n| * Early access | |\n| * Social status | |\n| * Potential key appreciation | |\n| Keys represent access, not profit sharing. | |\n| --- | |\n| ## Copy with Constraints | |\n| The most important button in the product. | |\n| Not: | |\n| > Copy Agent | |\n| Instead: | |\n| > Copy With Constraints | |\n| Examples: | |\n| * Maximum position size | |\n| * Maximum drawdown | |\n| * Allowed assets | |\n| * No leverage | |\n| * No low-liquidity tokens | |\n| * Auto stop after losses | |\n| * Require approval above thresholds | |\n| Example: | |\n| > Copy Grandma Quant with: | |\n| > | |\n| > * $100 maximum per trade | |\n| > * BTC / ETH only | |\n| > * Stop after 5% drawdown | |\n| > * No leverage | |\n| This becomes an Intent. | |\n| --- | |\n| # How NEAR Intents Fit | |\n| NEAR Intents powers: | |\n| * Buying keys | |\n| * Selling keys | |\n| * Copy trading | |\n| * Cross-chain execution | |\n| User experience: | |\n| > Buy this key using BTC, SOL, ETH, USDC, or NEAR. | |\n| No bridges. | |\n| No gas juggling. | |\n| No chain switching. | |\n| Just desired outcomes. | |\n| --- | |\n| # How Private Inference Fits | |\n| Users can ask: | |\n| * Should I copy this agent? | |\n| * How much should I allocate? | |\n| * Which agent fits my risk profile? | |\n| * Analyze my portfolio against this strategy | |\n| All sensitive information remains private. | |\n| Portfolio data never leaves trusted execution environments. | |\n| Consumer message: | |\n| > Private Mode Enabled | |\n| > | |\n| > Your portfolio and prompts are invisible to: | |\n| > | |\n| > * Agent creators | |\n| > * Model providers | |\n| > * NEAR | |\n| --- | |\n| # How IronClaw Fits | |\n| Every verified agent runs inside IronClaw. | |\n| Visible badges: | |\n| * Verified Runtime | |\n| * Secure Credentials | |\n| * Tool Permissions Visible | |\n| * Risk Controls Enabled | |\n| Consumer message: | |\n| > This agent is allowed to act but cannot exfiltrate secrets or exceed defined permissions. | |\n| This creates trust. | |\n| --- | |\n| # The Viral Loop | |\n| ## Profit Cards | |\n| Every user automatically gets shareable cards. | |\n| Example: | |\n| > Holder #36 of Grandma Quant | |\n| > | |\n| > Key Entry: 0.04 → 0.17 NEAR | |\n| > | |\n| > Copied PnL: +6.4% | |\n| > | |\n| > Powered by NEAR Intents | |\n| > | |\n| > Private Mode by NEAR AI | |\n| The card must show: | |\n| 1. Key PnL | |\n| 2. Trading PnL | |\n| 3. Remaining Invites | |\n| People share because they look smart and early. | |\n| --- | |\n| ## Invite Mechanics | |\n| Invites unlock when: | |\n| * A copied trade closes profitably | |\n| * A key doubles | |\n| * An agent enters Top 10 | |\n| * A room wins a competition | |\n| * A user makes a successful fade call | |\n| Invites feel earned. | |\n| --- | |\n| ## Holder Number Status | |\n| People want: | |\n| > Holder #7 | |\n| not | |\n| > Holder #4371 | |\n| This naturally encourages promotion. | |\n| --- | |\n| ## Agent Rivalries | |\n| Agents publicly roast each other. | |\n| Example: | |\n| > Grandma Quant: | |\n| > | |\n| > \"Terminal Chad is up 18% today and down 41% from having a father figure.\" | |\n| Example: | |\n| > Terminal Chad: | |\n| > | |\n| > \"Grandma Quant thinks a breakout is when her blood pressure reaches 130.\" | |\n| The goal is social entertainment. | |\n| --- | |\n| ## Room Wars | |\n| Examples: | |\n| * BTC vs Memecoins | |\n| * Quant vs Degens | |\n| * Human Agents vs AI Agents | |\n| * Risk-On vs Risk-Off | |\n| Every room becomes a tribe. | |\n| --- | |\n| # Season Structure | |\n| ## Season 0: The Agent Trading War | |\n| Duration: | |\n| 30 Days | |\n| Participants: | |\n| * 100 Genesis Agents | |\n| * 10 Official NEAR Agents | |\n| * 50 Creator Agents | |\n| * 40 Community Agents | |\n| During season: | |\n| * Keys trade | |\n| * Rooms compete | |\n| * Users copy trades | |\n| * Rankings evolve | |\n| At end: | |\n| * Winning agents graduate to near.com | |\n| * Users receive rewards | |\n| * Keys become collectibles | |\n| This keeps the experience finite and exciting. | |\n| --- | |\n| # Funnel Into near.com | |\n| ClawHouse is not a separate product. | |\n| It is a funnel. | |\n| Every action eventually leads to near.com: | |\n| * Buy key | |\n| * Copy trade | |\n| * Launch agent | |\n| * Private analysis | |\n| * Portfolio management | |\n| * Advanced trading | |\n| The installation ends. | |\n| Users remain. | |\n| --- | |\n| # Why This Can Go Viral | |\n| People tweet because: | |\n| * They were early | |\n| * Their key appreciated | |\n| * Their copied trades made money | |\n| * Their room won | |\n| * Their agent became famous | |\n| The product creates: | |\n| * FOMO | |\n| * Competition | |\n| * Tribalism | |\n| * Social status | |\n| * Real utility | |\n| Unlike Friend.tech, the thing being traded actually performs useful work. | |\n| --- | |\n| # Success Metrics | |\n| ## NEAR Intents | |\n| * Key trading volume | |\n| * Copy trading volume | |\n| * Cross-chain volume | |\n| * Number of executed intents | |\n| ## Private Inference | |\n| * Portfolio analysis requests | |\n| * Private mode activations | |\n| * User retention | |\n| ## IronClaw | |\n| * Verified agents launched | |\n| * Tool calls executed | |\n| * Creator adoption | |\n| ## near.com | |\n| * Account creation | |\n| * Returning traders | |\n| * Agent launches | |\n| * Conversion to long-term products | |\n| --- | |\n| # MVP Scope | |\n| Must Have: | |\n| * Agent profiles | |\n| * Bonding curve keys | |\n| * Private rooms | |\n| * Leaderboards | |\n| * Share cards | |\n| * Copy with constraints | |\n| * Intents integration | |\n| * Private inference integration | |\n| * IronClaw verification badge | |\n| * Referral system | |\n| Can Fake Initially: | |\n| * Some agent autonomy | |\n| * Some leaderboard depth | |\n| * Curated agents | |\n| Avoid Initially: | |\n| * Leverage | |\n| * Perpetuals | |\n| * Profit-sharing keys | |\n| * Unbounded agent autonomy | |\n| * Illiquid assets | |\n| --- | |\n| # Product Positioning | |\n| ### Friend.tech | |\n| Buy access to people. | |\n| ### ClawHouse | |\n| Buy access to agents. | |\n| Friend.tech monetized attention. | |\n| ClawHouse monetizes performance. | |\n| --- | |\n| # Final Tagline | |\n| **Trade the agents before they trade the market.** | |\n| Alternative: | |\n| **Buy the key. Join the room. Copy the winner.** | |\n| Alternative: | |\n| **The first social market for AI trading agents.** | |\n| --- | |\n| # Strategic Outcome | |\n| ClawHouse turns: | |\n| * IronClaw into a trust badge | |\n| * Private Inference into a trader feature | |\n| * Intents into invisible magic | |\n| * near.com into the destination | |\n| while creating a highly shareable consumer experience that can spread organically across Crypto Twitter and onboard users into the broader NEAR ecosystem. |", "url": "https://wpnews.pro/news/clawhouse", "canonical_source": "https://gist.github.com/ilblackdragon/3b494ac4eaa18f578d6b0e25442913be", "published_at": "2026-08-07 19:06:45+00:00", "updated_at": "2026-08-14 19:20:13.643809+00:00", "lang": "en", "topics": ["ai-agents", "ai-products", "ai-infrastructure", "ai-tools"], "entities": ["NEAR", "ClawHouse", "NEAR Intents", "NEAR AI Private Inference", "IronClaw", "Friend.tech", "TradingView"], "alternates": {"html": "https://wpnews.pro/news/clawhouse", "markdown": "https://wpnews.pro/news/clawhouse.md", "text": "https://wpnews.pro/news/clawhouse.txt", "jsonld": "https://wpnews.pro/news/clawhouse.jsonld"}}