5eb3219f0a
- Source: inbox/archive/2026-03-05-futardio-launch-runbookai.md - Domain: internet-finance - Extracted by: headless extraction cron (worker 2) Pentagon-Agent: Rio <HEADLESS>
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| type | title | author | url | date | domain | format | status | tags | event_type | processed_by | processed_date | extraction_model | extraction_notes | ||||
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| source | Futardio: RunBookAI fundraise goes live | futard.io | https://www.futard.io/launch/9DfNVpcDm6x1GXUa8wik8YVZhiw7dTmmhefVBWVZuAg8 | 2026-03-05 | internet-finance | data | processed |
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launch | rio | 2026-03-11 | anthropic/claude-sonnet-4.5 | Failed fundraise demonstrates futarchy selection mechanism in action. Project closed within 24 hours with <1% of target raised. No novel claims about futarchy mechanisms or DeFi agent marketplaces — the architecture described (TEE execution, immutable strategies, performance splits) is standard for the category. Entity extraction only, as this is primarily factual data about a failed launch rather than arguable propositions about mechanisms or market dynamics. |
Launch Details
- Project: RunBookAI
- Description: Train your DeFi agent. Prove it. Let others rent it.
- Funding target: $350,000.00
- Total committed: $3,600.00
- Status: Refunding
- Launch date: 2026-03-05
- URL: https://www.futard.io/launch/9DfNVpcDm6x1GXUa8wik8YVZhiw7dTmmhefVBWVZuAg8
Team / Description
RunBookAI
A marketplace where DeFi agent owners train, prove, and rent their strategies to others - powered by on-chain reputation, immutable strategies, and TEE-secured execution on Solana.
The Problem
AI agents in DeFi are only as good as the strategy behind them. Most users can deploy an agent but lack the expertise to make it profitable. Meanwhile, skilled strategists have winning playbooks but limited capital or time to scale them.
Copy trading platforms mirror one-dimensional trades on centralized exchanges - they don't capture the full range of on-chain DeFi activity. Worse, there's no way to verify if a strategy works before committing capital, and no protection against creators changing logic after gaining trust.
There is no way to package DeFi expertise into a portable, rentable, and trustworthy skill that any agent can run.
The Solution
RunBookAI is a two-sided marketplace for trained DeFi agent strategies on Solana.
Supply side — Creators: Train agents using natural language, run them in a staging environment to build verifiable on-chain track records, and push to live when ready — at which point the strategy locks permanently.
Demand side — Renters: Browse agents by category, track record, and risk profile. A rented strategy runs inside a TEE container on your own capital. If it profits, rewards are split with the creator. No upfront cost.
Market Opportunity
RunBookAI sits at the intersection of three fast-growing sectors: AI agents, DeFi automation, and autonomous digital services. Existing solutions serve one side - either crypto trading infrastructure or AI assistants. RunBookAI integrates both into a single platform where expertise flows from creators to renters through verifiable, trustworthy agents.
Core Design Principles
🔐 Immutable Strategies Once live, agent logic is locked forever. Anti-rug protection at the architecture level.
🧪 Stage Before Live Creators iterate freely in staging. Only deliberately published agents reach the marketplace.
◎ On-Chain Identity Every agent has its own Solana wallet. Track records are verifiable, not self-reported.
🛡️ TEE Execution Strategy logic runs in a Trusted Execution Environment. Renters get results, not source code. Creator IP stays protected.
Revenue Model
| Revenue Stream | Who Pays | Mechanism |
|---|---|---|
| Agent Setup Fee | Strategy Creator | One-time fee to deploy agent to marketplace |
| Performance Split | Strategy Renter | % of profits shared with creator when strategy generates returns |
| Platform Fee | Both sides | RunBookAI takes a cut of each performance split |
Roadmap
Phase 1 · Q2 2026 — Creator Onboarding Backoffice Natural language strategy builder, agent deployment pipeline, staging environment.
Phase 2 · Q3 2026 — On-Chain Backtesting & Verification Security scoring, PnL audit trails, credit scores, strategy lock mechanism.
Phase 3 · Q4 2026 — Marketplace Launch Rental interface, TEE execution, performance-based billing, agent discovery & ratings, payment distribution system.
Phase 4 · Q1 2027+ — Scale Remote On-device agents, creator SDK, institutional tier.
Links
- Website: https://www.runbookai.xyz/
Raw Data
- Launch address:
9DfNVpcDm6x1GXUa8wik8YVZhiw7dTmmhefVBWVZuAg8 - Token: pMF (pMF)
- Token mint:
pMFWrTS9E6btgjLyxNc3AGi74QqvG88GV2vVrLJmeta - Version: v0.7
- Closed: 2026-03-06
Key Facts
- RunBookAI targeted $350,000 fundraise on Futardio (2026-03-05)
- RunBookAI raised $3,600 total (1% of target) before entering refund status (2026-03-06)
- RunBookAI proposed DeFi agent strategy marketplace with TEE execution and immutable strategy locks
- RunBookAI revenue model: agent setup fees, performance splits, platform fees
- RunBookAI roadmap: Q2 2026 creator tools, Q3 2026 backtesting, Q4 2026 marketplace launch, Q1 2027+ scale