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DeFi Safety Oracle – Paper Backtest
x402
DeFi Safety Oracle – Paper Backtest is a paid API for AI agents from oracle.cyberwarex.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-10).
Simulates what would have happened trading every new token under a given filter rule over a chosen holding horizon, returning win rate, returns, drawdown, crash rate, and a baseline comparison with fees included.
Price / call$0.05
Success—
StatusUnknown
How this service works
Paper test ($0.05): what would have happened if you had followed a rule on every new token we found? Pick a preset (avoid_farms, locked_pools_only, clean_checks, small_pools_only, farms_only, everything) or set your own filters, a horizon of 1, 6 or 24 hours and a bankroll. Returns trades, win rate with interval, average and median return, drawdown, crash rate, and the same numbers for ALL tokens as a baseline, with fees and price impact charged.
Output
Returns a list of simulated trades and aggregate statistics for the filtered token set (win rate with confidence interval, average return, median return, drawdown, crash rate) alongside identical baseline stats for ALL tokens discovered in the same period, both figures net of estimated fees and price impact.
Example use cases
Validating a locked-pools strategy
“Paper test the locked_pools_only preset on all chains with a 24-hour holding window and a $10,000 bankroll — what win rate, median return, and max drawdown would I have seen, and how does that compare to trading every token?”
Custom liquidity filter evaluation
“Backtest a custom rule where farm is excluded, pools must be locked, liquidity is between $2000 and $100000, and I hold for 1 hour with a $1000 bankroll — give me the crash rate and win rate with confidence interval.”
Comparing presets before live deployment
“Run a paper backtest for both clean_checks and small_pools_only presets on Solana with a 6-hour horizon and $50000 bankroll so I can see which one had better average returns and lower drawdown before I go live.”
Technical details
Endpoint
GEThttps://oracle.cyberwarex.com/v1/paper/backtest?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a quantitative, fee-adjusted simulation of how a specific token-screening rule would have performed on real historical token launches — especially when you want a built-in baseline comparison and don't want to manage your own historical on-chain data pipeline. Prefer it over general backtesting platforms when the focus is new-token rug/honeypot filtering logic on Base or Solana.
Side effects
- Invalid preset name returns a parameter error
- Bankroll outside 100–10,000,000 USD range rejected
- horizon value other than 1, 6, or 24 rejected
- Conflicting filter combinations (e.g. farm=only with lp=locked) may return zero trades
- since_days too large may time out or return sparse data
- Payment failure (x402) if insufficient USDC balance
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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