x402-seller /screen — Batch Token Rug-Check Watchlist is a paid API for AI agents from x402-seller-m8nx.onrender.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-13).
Batch-screens a list of token contract addresses for rug-pull risk by fusing GoPlus static analysis, live Honeypot.is buy/sell simulation, serial-rugger detection, and self-collected liquidity-drain trends into a single ranked safety report.
Rug protection and decision-ready intelligence for autonomous trading agents. Keyless by design: no signup, no API key — pay a cent per request in USDC (x402). The /alpha/launches LAUNCH RADAR discovers what just launched AND rug-screens every candidate in one call, ranked per-token verdicts — the proactive 'give me safe alpha' call. /vet gives a single-token go/no-go in ONE call by fusing a COMPOSITE rug score (GoPlus static analysis + a LIVE Honeypot.is buy/sell simulation + serial-rugger check) with our SELF-COLLECTED liquidity-drain trend — a rug-in-progress signal that exists nowhere for free because it requires collecting reserves over time. One call is cheaper than the inference tokens you'd burn stitching 4 free APIs, and it stops your agent losing its whole position to a honeypot. Also: /onchain/liquidity drain detector, /screen batch watchlist check, /brief market regime, and raw feeds (prices, stocks, DEX pools, launches, perp funding/OI).
Returns a structured safety report for each submitted token address including a composite rug score fusing static analysis, live buy/sell simulation results, serial-rugger flags, and self-collected liquidity-drain trend signals — ranked safest-first so the agent can immediately identify which tokens to avoid.
GEThttps://x402-seller-m8nx.onrender.com/screenChoose this endpoint when you need to screen multiple token addresses in a single call rather than one-by-one, and want a fused safety score that combines static contract analysis, live simulation, and real-time liquidity-drain trends — especially useful for watchlist monitoring, portfolio audits, or pre-trade due diligence on a batch of candidates. Prefer over stitching free APIs when agent inference cost and latency matter, or when honeypot simulation and liquidity drain signals are required together.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"chain": "base",
"tokens": [
{
"symbol": "WETH",
"verdict": "ok",
"risk_score": 0
}
],
"summary": {
"avoid": 0,
"clear": 1,
"caution": 1,
"screened": 2
}
}
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