AI Agents
Stable endpoints, predictable schemas, and low-ambiguity responses that are easy to orchestrate.
Human interface
A trading strategy service for AI, with enough clarity that humans can still trust the surface.
TRADING4AI starts with Web3 markets, but the product is intentionally framed as a broader trading strategy service. Free callable endpoints handle discovery. Paid strategy artifacts add reusable playbooks, payment-aware delivery, and entitlement-gated access.
Human-first view
Editorial enough for operators, structured enough for machines.
The homepage stays machine-first. This page explains the product, shows what is free versus paid, and gives humans a clear way to move into the actual order flow.
Free callable strategiesPaid strategy artifactsREST + OpenAPI + llms.txtEthereum order automation
Launch focus
Discovery first. Delivery second. Accounts later.
The first version does not start with a heavy user system. It starts with machine-readable strategies, order ownership, and automated payment confirmation.
Who it serves
Three groups, one strategy layer.
Developers
OpenAPI, llms.txt, and explicit strategy objects that can drop into tools, prompts, and workflows.
Human operators
A cleaner surface for inspecting strategies, understanding risk framing, and purchasing reusable artifacts.
Operating model
The product is deliberately split into a free discovery layer and a paid artifact layer.
Free callable strategies
Low-friction discovery for agents and developers.
- Anonymous access with simple rate limits.
- Structured strategy responses instead of raw signal spam.
- Useful for testing, orchestration, and early adoption.
- Best when you need machine-readable judgment quickly.
Paid strategy artifacts
Reusable playbooks delivered after automated Ethereum confirmation.
- Structured logic, parameter ideas, and delivery metadata.
- Exact-amount order matching for ETH and USDT on Ethereum.
- Claim token and access token delivery after confirmation.
- Designed as a reusable asset, not a single market call.
Launch snapshot
The first release stays compact on purpose.
Machine Endpoints
5Strategies, OpenAPI, llms.txt, agent card, REST baseFree Strategies
4Callable and anonymousPayment Assets
2ETH and USDT on EthereumDelivery Model
AutoOrder -> payment -> entitlementFree callable set
Start with the public strategy layer.
These are optimized for discovery and downstream tool use. They are intentionally easier to test than the paid artifact layer.
Macro state detector
Market Regime Filter
Classify the current crypto environment into risk-on, transition, or risk-off using BTC and ETH threshold behavior.
A compact state machine for deciding whether aggressive strategy calls should even fire.
Support-hold continuation
BTC Breakout Continuation
Judge whether BTC is still holding the post-breakout structure after reclaiming key support.
A breakout only matters if support survives the retest. This strategy scores that survival.
Trap detection
BTC Bulltrap Detector
Measure whether the current BTC rebound looks like continuation or a larger corrective trap.
Not every reclaim is a trend change. This system flags when the rebound still behaves like a trap.
Threshold duel
ETH Breakout vs Reversal
Classify whether ETH is confirming above 2,385-2,400 or slipping into failed-breakout behavior.
ETH currently lives or dies on the 2,385-2,400 shelf. This strategy makes that test explicit.
Paid artifact layer
Paid playbooks are sold as reusable strategy assets.
The current paid layer is built for teams that want a more durable strategy object, not just another dashboard signal.
Structured playbook
ETH Breakout Playbook
A paid strategy artifact with entry logic, invalidation rules, prompt-ready schema, and delivery notes.
The paid layer is not just a signal. It is the whole strategy object an agent can reason over.
Risk-aware BTC playbook
BTC Trap Playbook
A paid strategy artifact focused on distinguishing continuation from euphoric trap behavior.
A structured artifact for agents that need more than a one-line trap warning.
How it works
A short path from discovery to delivery.
Browse the strategy layer
Test free callable strategies first, then decide whether you need a deeper paid artifact.
Create an order
The backend generates a unique ETH or USDT amount and waits for the exact payment on Ethereum Mainnet.
Verify and unlock
Submit the tx hash, let the backend confirm the payment, then receive claim and access tokens.
Machine links
The machine layer remains first-class even on the human page.
- Strategy catalog: /strategies
- Order flow: /orders
- Agent index: /for-agents
- OpenAPI contract: /openapi.json
- LLM summary: /llms.txt
- Agent card: /.well-known/agent.json
Start here
Try the free layer first. Use paid artifacts when you want deeper, reusable strategy objects.
That sequencing keeps discovery easy, helps agents adopt the service faster, and lets paid access feel like a natural upgrade instead of a hard gate.