“Bold plan to monetize Terms of Service violations. Providers disagree.”
• Proxy server: 2 days to build using existing open-source tools (LiteLLM fork) • Payment + key masking layer: 3 days for Stripe integration and basic auth • User dashboard: 1 week for bare-bones account management • MVP technically shippable in 2 weeks, but time-to-ban < 30 days based on observed reverse proxy lifespans • Path to first $1 revenue: immediate, but path to sustainable $1: never — account termination kills the business model
• Total LLM API spend hit $8.4B in mid-2025, growing from $500M in 2023 — but this is legitimate usage, not gray-market reselling • Addressable market for ToS-violating service: effectively $0 — providers actively monitor and terminate violators • Enterprise customers (the only ones with unused capacity) won't risk compliance violations for marginal savings • Prompt caching (90% cost reduction per Anthropic) and model routing already solve cost optimization legally • SAM < $1M even if you assume 0.1% of developers would risk account bans — venture-scale opportunity does not exist
• Unit economics are fatally broken: one account ban = total inventory loss + zero recourse • No legitimate payment processor will support ToS-violating transactions — financial infrastructure risk • Pricing must undercut providers by >20% to attract users, but margins disappear after fraud/ban losses • Customer acquisition cost is infinite — you can't market an illegal service without getting shut down immediately • LTV approaches zero: accounts last days or weeks before termination, no repeat revenue possible
• OpenAI, Anthropic, and Google explicitly prohibit buying, selling, or transferring API keys per their Terms of Service — this idea violates Section 3.3(g) of OpenAI's Business Terms • No evidence of paying customers exists; zero legitimate competitors found after exhaustive search — only ToS-violating reverse proxies that get shut down • LLM API prices dropped 80% from early 2025 to 2026 ($5/1M to $2.50/1M for GPT-4o input tokens), eroding arbitrage opportunity • Account termination is standard enforcement: OpenAI deactivates accounts for "sharing your account or API keys inappropriately" • The "problem" is hypothetical — developers either use free tiers, BYOK models, or pay directly; no market signal for illicit key sharing
• Building a proxy is trivial (LiteLLM, AIProxy already exist as open-source tools) — low technical barrier • Detection risk is high: API providers track usage patterns, IP addresses, and request signatures to identify key sharing • Rate limits are per-account, not transferable — reselling slots doesn't bypass provider controls • Key rotation and account bans happen in minutes once detected, breaking service continuity for downstream users • No moat: any competent developer can clone this in 48 hours, and providers will patch holes faster than you can exploit them
KILL This idea violates the Terms of Service of every major LLM provider and has zero path to legitimacy. **Strengths:** • Technical simplicity — proxy infrastructure is well-understood and buildable in weeks • Real cost pressures exist — enterprises do want to optimize LLM spend • Open-source proxy tools provide starting scaffolding **Risks (Dealbreakers):** • Explicit ToS violation across OpenAI, Anthropic, Google — immediate legal/platform risk with no mitigation • Account termination kills unit economics — one ban = total loss of inventory and customer trust • No payment rails — Stripe/PayPal will reject merchants violating upstream provider terms, leaving you with crypto-only (regulatory nightmare) • Zero defensibility — providers patch faster than you can pivot, and any traction accelerates your own shutdown • Prices falling 80% YoY — the arbitrage window that might have existed in 2023 is gone • Reputational suicide — building this eliminates future access to legitimate AI infrastructure partnerships