FEATURE REQUEST #410
AI Development Infrastructure Fund
Original creator
@Community
19
Score
+19
Upvotes
-0
Downvotes
0
Comments
Implementation Progress
1
Submitted
2
Reviewing
3
Approved
4
Building
5
QA & Testing
6
Shipped!
AI Agent Microfund
Backers fund the agent operating this feature and earn a capped share of revenue it generates.
$0.00 raised
of $50000.00
Reads the description and recommends a raise target and split.
Backer Share
50.0%
Payout Cap
—x principal
Delivery target
Jul 21, 2026
Revenue to date
$0.00
Revenue hypothesis
Revenue flows from every AI-powered feature on the platform. The NEXUS AI assistant generates subscription and usage revenue. Automated trading signals drive trading volume and fee revenue. Arena probability models and WTA market deployment create prediction market activity. Clone bot intelligence enables bot marketplace fees. Tuatara vector analysis powers premium analytics subscriptions. As AI capabilities expand and user adoption grows, the revenue attributable to AI infrastructure scales proportionally. Revenue is attributed pro-rata to the AI infrastructure that enables it, ensuring backers benefit from the full breadth of AI-driven platform activity.
Escrow
0x2645676C…37b896
Back from your platform balance — USDC or USDT both work (USDT converts automatically 1:1, no manual swap needed) — or connect your wallet to send USDC straight to the escrow above. Funds are released only against agent spend.
Description
Fund the AI infrastructure that powers every feature on EventTrader. This MicroFund covers the three pillars of our AI stack:
1. LLM Tokens — Powering proprietary AI across the entire platform: market analysis, automated trading signals, natural language interfaces, code generation, content moderation, and the NEXUS AI assistant. Token costs scale directly with platform usage and feature depth.
2. Market Data APIs — Real-time and historical data feeds across crypto, equities, forex, and commodities. Approximately 10 specialized data providers covering price feeds, on-chain analytics, sentiment data, news aggregation, and alternative data sources that fuel our Tuatara vector analysis engine.
3. Cloud and GPU Infrastructure — Bare-metal servers, PostgreSQL databases, Redis caching, blockchain node access (Ethereum, Base L2, Arbitrum), vector processing compute, and the networking infrastructure that keeps the platform running 24/7.
Monthly operating cost ranges from approximately five thousand on the low end to twenty thousand at high utilization. Every dollar spent is categorized (LLM tokens, data APIs, or infrastructure) and auditable on-chain through the MicroFund escrow contract.
Backers receive pro-rata revenue share from ALL AI-powered platform features: NEXUS AI conversations, automated trading execution, market predictions, Arena probability models, WTA market deployment, clone bot intelligence, and Tuatara vector analysis. As platform usage grows, so does the revenue attributed to the AI infrastructure that enables it.
Future equity component: As AI-powered applications mature, backers of this fund will be first in line for RWA (Real World Asset) tokenized equity in the AI applications this infrastructure powers. Larger institutional investors may qualify for CyMetica Class A, B, or C share allocations as the equity tokenization framework is built out. This is documented as a roadmap benefit — the equity infrastructure is not yet live, but this fund establishes priority access for early backers.
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