LIVE SIGNALS • WALLET TRACKING • AI AUTOMATION

Track & follow Polymarket wallets with a dark ops style.

$APOLY is an automation bot built to monitor specific wallets, score signals (confidence + edge), then execute actions (dry-run / rules) based on your risk profile. Vibe: cyber, fast, and frictionless.

CA:click to copy
Latency
~200ms
fast event pipeline
Signals
AI Score
confidence + edge
Rules
Automation
cooldown + limits
apoly@ops:~
$ npx create-next-app apoly
$ apoly track --wallet 0xWhale... --market POLYMARKET
> Signal: BUY size=0.7u confidence=0.83 latency=240ms
Ops Panel
Simulated "watch → score → action" flow (dry-run)
Watch Wallet
Mode
Risk Guard
62
0 low ←→ 100 high
Policy: if risk too high → confidence threshold increases.
Live Logs
[boot] apoly core online
[scan] markets: politics | sports | crypto | tech
[watch] wallet=0xWhale...dEAD
Tags:wallet-followedge-scorecooldowndry-run
Disclaimer: $APOLY is a landing-page concept. Avoid storing secrets on the client. Use a server-side vault + rate limits + audit trail.
FEATURES

Bot stack: stealth + signal + automation

Focused on the core workflow: trackscore rulesaction. The UI is designed for fast readability and an ops-first mindset.

🛰️
Wallet Radar

Monitor target wallets, detect entry/exit patterns, and build tagged watchlists.

🧠
AI Signal Scoring

Score confidence + edge, with risk and cooldown filters to prevent overtrading.

🧩
Rule Engine

Condition-based automation for market type, volume, wallet tier, and thresholds.

🔔
Alerts + Webhooks

Push alerts to Discord/Telegram/webhooks (stub), ready to integrate with your stack.

🧾
Audit Trail

Every decision is logged: inputs, score, matched rules, and resulting actions.

🛡️
Security-first

No secrets on the client. Rate limiting, allowlists, and safety checks (best practice).

HOW IT WORKS

From wallet data to measurable decisions

01
Ingest
Ingest relevant events and activity, then normalize them into a clean stream.
02
Score
AI evaluates confidence, edge, and market context with risk awareness.
03
Rules
The rules engine decides follow / watch / ignore + cooldown.
04
Action
Execute automation (starting with dry-run), complete with an audit trail.
Interactive Demo Notes
This is still a landing page, but the demo logic already reflects the real flow.
What you get
  • • Watchlist + tags + tiers (whale / mid / retail)
  • • Signal score (confidence/edge), with risk guard
  • • Automation queue (dry-run) + audit logs
Dev-first
This landing page is intentionally ops-themed. You can build the backend later with:
Next.js API routesQueue (BullMQ)DB (Postgres)Secrets (Vault)
Open dApp Workspace
FAQ

Common questions from the war room

This landing page shows a concept and a dry-run demo. For real implementation, you can ship a recommendation-only mode or automation with strict guardrails.

Note: always follow platform rules, ethics, and user security practices.

The target is an operator mindset: fast readability, low noise, and strong focus on logs, rules, and signals, while staying clean and modern.

Conceptually: wallet activity, position changes, market context, and confidence/edge metrics. In the first version, you can start with simple watchlists + alerts.

Do not store secrets on the client. Use server-side env + vault, add rate limits, audit trails, and allowlist integrations.

EARLY ACCESS

Join the Access List $APOLY

Fill out the quick form, then wire it to your backend (Supabase/Sheets/DB). For now, this is UI-first.