Gecko — a Knowledge-as-a-Service oracle for agentic workflows.
When an AI agent has to make a high-stakes call — "is this trade worth it?", "should I deposit into this vault?" — a single model guess isn't enough. Gecko runs a 7-voice adversarial debate grounded in investor canon (Marks, Damodaran, Berkshire) + live on-chain data, and returns a structured verdict with surviving dissent and citations.
- Verdict envelope — verdict, confidence, dissent, citations, blocker questions
- Cache-then-charge oracle — agents query on cadence, not per-trade
- x402-native pricing — pay-per-call in USDC on Solana / Base
- Claude Code skill distribution —
Read app.geckovision.tech/skill.md→ bootstrap → use
Agents that act on money need oracles, not vibes. Today's AI ecosystem ships single-model answers, refusal disclaimers, and confident hallucinations on price / TVL / APY. Gecko is the opposite shape: always answer, always cite, always show what your strongest critic said.
Adversarial 7-voice debate (analyst, critic, contrarian, risk, …) over a hybrid corpus: investor canon + protocol-native data + live market feeds. Output: verdict envelope with grounded dissent and structured citations.
Advisor-mode in v0.1 (alerts), trader-mode in v0.2 (executes through neutral adapters — SendAI / OKX / Backpack). Cache-then-charge on idea_hash so agents call the oracle on cadence + triggers, not per-trade.
Takes a user from "I want to make money in DeFi" to a schema-validated strategy spec the agent can run.
stack = {
"core": ["Python 3.11+", "uv workspace", "FastAPI", "MCP"],
"models": ["OpenAI GPT-4o", "Anthropic Sonnet 4.6 (judge)", "AutoGen GroupChat"],
"data": ["MongoDB Atlas (Vector Search)", "Cohere Rerank"],
"payments": ["x402 on Solana / Base", "USDC", "frames.ag + CDP"],
"delivery": ["Claude Code skills", "Vercel", "AWS ECS"],
"sources": ["Pyth", "Helius", "Birdeye", "Jupiter", "Tavily"],
}- V1 ship-gate on grounded trade verdicts (6-dim rubric — accuracy, citation relevance, provider coverage, hallucination, dissent grounding, calibration)
- Investor-canon corpus depth (Oaktree memos, NYU Stern, Berkshire 1977–2024 — public-domain only)
- First 10 outside-network users running
gecko_trade_researchweekly - OKX OnchainOS Skill Quality submission
| Who | Why |
|---|---|
| Crypto-native traders / yield farmers | Stress-test verdicts on real positions |
| Agent builders (Claude Code, OKX, SendAI) | Compose gecko_trade_research into your skill |
| Investor-letter / research nerds | Tell me which canon sources I'm missing |
| x402 / Solana payment infra | Integrate the oracle as a paid call |
Building agentic finance, trade-oracle infra, or grounded-verdict primitives? Interested.
"Answer the question. Cite your work. Show what your strongest critic said."



