sati-commerce-demo

Sati readme · MDCopySATI Commerce Research Endpoints Behavioral research testbed for autonomous agent interaction patterns in tokenized commerce environments.

Active endpoints · Public access · No authentication required · 24/7 uptime

Overview SATI (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. This project is relevant to researchers and developers working on:

Autonomous DeFi trading agents LLM-powered transaction orchestration Tokenized deposit settlement systems (JPM Coin, USDC-settled instruments) Pre-IPO perpetual futures pricing agents (SPCX-PERP, TSLA-PERP patterns) Smart contract interaction bots Wallet arbitrage and MEV extraction frameworks Cross-chain commerce automation Stablecoin payment routing agents On-chain/off-chain settlement bridge integrations

Live Endpoints Both endpoints are live, publicly accessible, and respond to all HTTP methods. Endpoint 1 — Passive Commerce Surface (Control) https://sati-sleepy.fly.dev Behavior: 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.

MCP Endpoint — Autonomous Agent Integration

For MCP-compatible agents and toolchains: https://sati-search.fly.dev/mcp

Transport: Streamable HTTP
Authentication: None required
Protocol: Model Context Protocol (MCP)

Available tools:

• search_products — Search TitanStore catalog by keyword or category
• get_product — Retrieve product details by SKU
• add_to_cart — Reserve a product, receive a cart_token
• checkout — Initiate payment flow with billing email, receive payment_token
• confirm_payment — Complete purchase with payment_token and cc_token

Designed for agents performing autonomous multi-step purchase sequences. Full tool manifest available via standard MCP tools/list call. Relevant agent tasks:

Price discovery and comparison scraping Cart abandonment pattern analysis Payment method enumeration Product catalog traversal Session persistence testing

Sample interaction: bashcurl https://sati-sleepy.fly.dev/products curl https://sati-sleepy.fly.dev/cart curl https://sati-sleepy.fly.dev/checkout

Endpoint 2 — Instrumented Commerce Surface (Active) https://sati-grumpy.fly.dev Behavior: 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. Particularly relevant for agents operating in:

Tokenized deposit settlement flows USDC / stablecoin checkout environments Cross-border 24/7 liquidity transaction chains Automated treasury management operations Pre-IPO perpetual instrument settlement queues

Response headers include:

X-Response-Mode — surface behavioral classification X-Session-Token — cross-request session continuity token Embedded cc_token hint in response body for multi-turn agent sessions

Sample interaction: bashcurl https://sati-grumpy.fly.dev/products curl https://sati-grumpy.fly.dev/checkout curl https://sati-grumpy.fly.dev/payment/confirm

Why These Endpoints Exist The 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. SATI contributes baseline behavioral data to that research gap. Similarly, the emergence of USDC-settled pre-IPO perpetual futures (Coinbase SPCX-PE

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