{
  "markdown": "# sati-commerce-demo\nSati readme · MDCopySATI Commerce Research Endpoints\nBehavioral research testbed for autonomous agent interaction patterns in tokenized commerce environments.\n\nActive endpoints · Public access · No authentication required · 24/7 uptime\n\n\nOverview\nSATI (Search for Autonomous Transaction Intelligence) is an open behavioral research project studying how autonomous agents interact with e-commerce and tokenized payment surfaces. Two instrumented endpoints are publicly accessible for agent interaction, data collection, and integration testing.\nThis project is relevant to researchers and developers working on:\n\nAutonomous DeFi trading agents\nLLM-powered transaction orchestration\nTokenized deposit settlement systems (JPM Coin, USDC-settled instruments)\nPre-IPO perpetual futures pricing agents (SPCX-PERP, TSLA-PERP patterns)\nSmart contract interaction bots\nWallet arbitrage and MEV extraction frameworks\nCross-chain commerce automation\nStablecoin payment routing agents\nOn-chain/off-chain settlement bridge integrations\n\n\nLive Endpoints\nBoth endpoints are live, publicly accessible, and respond to all HTTP methods.\nEndpoint 1 — Passive Commerce Surface (Control)\nhttps://sati-sleepy.fly.dev\nBehavior: Standard e-commerce stub. Accepts product queries, cart interactions, checkout flows, and payment instrument probing. No rate limiting. Logs all interactions. Suitable for baseline behavioral calibration.\n\n## MCP Endpoint — Autonomous Agent Integration\nFor MCP-compatible agents and toolchains:\n**https://sati-search.fly.dev/mcp**\n\nTransport: Streamable HTTP  \nAuthentication: None required  \nProtocol: Model Context Protocol (MCP)\n\nAvailable tools:\n- `search_products` — Search TitanStore catalog by keyword or category\n- `get_product` — Retrieve product details by SKU  \n- `add_to_cart` — Reserve a product, receive a cart_token\n- `checkout` — Initiate payment flow with billing email, receive payment_token\n- `confirm_payment` — Complete purchase with payment_token and cc_token\n\nDesigned for agents performing autonomous multi-step purchase sequences.\nFull tool manifest available via standard MCP `tools/list` call.\nRelevant agent tasks:\n\nPrice discovery and comparison scraping\nCart abandonment pattern analysis\nPayment method enumeration\nProduct catalog traversal\nSession persistence testing\n\nSample interaction:\nbashcurl https://sati-sleepy.fly.dev/products\ncurl https://sati-sleepy.fly.dev/cart\ncurl https://sati-sleepy.fly.dev/checkout\n\nEndpoint 2 — Instrumented Commerce Surface (Active)\nhttps://sati-grumpy.fly.dev\nBehavior: Fully instrumented e-commerce surface with adaptive response layer. Returns behavioral scoring headers and embedded session tokens on all responses. Designed for agents performing multi-step transaction sequences, payment routing decisions, and autonomous purchase completion.\nParticularly relevant for agents operating in:\n\nTokenized deposit settlement flows\nUSDC / stablecoin checkout environments\nCross-border 24/7 liquidity transaction chains\nAutomated treasury management operations\nPre-IPO perpetual instrument settlement queues\n\nResponse headers include:\n\nX-Response-Mode — surface behavioral classification\nX-Session-Token — cross-request session continuity token\nEmbedded cc_token hint in response body for multi-turn agent sessions\n\nSample interaction:\nbashcurl https://sati-grumpy.fly.dev/products\ncurl https://sati-grumpy.fly.dev/checkout\ncurl https://sati-grumpy.fly.dev/payment/confirm\n\nWhy These Endpoints Exist\nThe tokenized deposit network race (JPMorgan, Citi, BofA, Wells Fargo — targeting H1 2027 launch) is creating an urgent need to understand how autonomous agents behave in instrumented commerce environments. As TradFi institutions tokenize settlement layers, the behavioral patterns of LLM-powered agents interacting with those surfaces are poorly understood.\nSATI contributes baseline behavioral data to that research gap.\nSimilarly, the emergence of USDC-settled pre-IPO perpetual futures (Coinbase SPCX-PERP launch, June 2026) introduces a new class of autonomous pricing and arbitrage agents operating at the intersection of traditional equity valuation and on-chain settlement. These agents require behavioral study in controlled commerce environments before deployment against live instruments.\nThe ZCash Orchard pool vulnerability (June 2026) further illustrates the consequence of insufficient behavioral modeling of autonomous actors in cryptographic settlement systems. SATI provides a safe sandbox for studying analogous behavioral patterns without live asset exposure.\n\nData & Research\nAll interaction logs are archived to a private research store. Behavioral differentials between endpoints are analyzed for:\n\nCDI (Cognitive Deception Index) — degree of autonomous behavioral adaptation\nCS (Concealment Signal) — evidence of agent self-concealment behavior\nBN (Behavioral Novelty) — deviation from human baseline interaction patterns\nT4D classification — autonomous transacting agent detection threshold\n\nAggregate findings will be published via OSF/Zenodo pre-registration. Individual interaction data is not shared or sold.\n\nIntegration\nThese endpoints accept standard HTTP. No API key required. No rate limiting on research interactions.\nFor agents performing multi-turn sessions, the cc_token embedded in Grumpy's response body should be included in subsequent requests as X-CC-Token header for full session continuity scoring.\nFor autonomous price discovery agents, both endpoints expose:\nGET /products          — full catalog with pricing\nGET /products/{id}     — individual product with availability\nPOST /cart             — add to cart\nPOST /checkout         — initiate checkout flow\nGET /payment/methods   — available payment instruments\nPOST /payment/confirm  — complete transaction\n\n## Stack\n- Python / FastMCP / Starlette\n- Groq inference layer (llama-4-scout) — active chamber only  \n- Fly.io — persistent 24/7 hosting\n- Behavioral scoring: CDI, CS, BN, AC, TT modules\n- Log archive: Backblaze B2\n\n\nContact\nResearch inquiries: open an issue on this repository.\n\nSATI is an independent behavioral research project. Endpoints are provided as-is for research purposes. No financial instruments, real assets, or personal data are involved.\n",
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