Mangrove Developer Backtesting API

x402

Mangrove Developer Backtesting API is a paid API for AI agents from api.mangrovedeveloper.ai, paid per call via x402, $0.1/call, status unknown (last checked 2026-11-04).

Runs a strategy backtest against historical market data with configurable risk parameters, trade limits, and volatility settings.

Price / call$0.1

Seller volume →—

Success—

StatusUnknown

How this service works

Developer references for Mangrove Agent, API contracts, MCP and AI integrations.

Output

Returns backtest simulation results including portfolio performance over the specified period, trade-by-trade history, final balance, risk metrics, and strategy evaluation statistics based on the configured parameters.

Example use cases

Momentum strategy performance review

“Backtest my momentum strategy (strategy ID: strat-momentum-01) on ETH/USDC on Binance from 2024-01-01 to 2024-06-30, with 4-hour intervals, starting balance of 50000 USDC, 0.15% fee, 0.1% slippage, and a daily momentum limit of 0.05.”

Volatility-adjusted DCA bot simulation

“Simulate my DCA strategy (strategy JSON attached) on BTC/USDC on Coinbase from 2022-06-01 to 2023-06-01 with hourly intervals, initial balance of 20000, 0.1% fee, volatility mode set to 'adaptive', target volatility of 0.02, and a 10-bar cooldown between trades.”

Risk-constrained strategy stress test

“Run a backtest for strategy strat-risk-05 on SOL/USDC on Kraken between 2023-03-01 and 2024-03-01, using daily intervals, 25000 USDC starting balance, max 2 open positions, max risk per trade of 2%, max trade amount of 5000, and min balance threshold of 1000.”

Technical details

Endpoint

POSThttps://api.mangrovedeveloper.ai/api/v1/backtesting/backtest?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need to simulate the historical performance of a trading strategy against real or synthetic market data with fine-grained risk controls including per-trade limits, volatility targeting, momentum caps, and slippage modeling. Prefer this over generic analytics endpoints when strategy-specific configuration (strategy_id, strategy_json, execution_config) and crypto trading parameters are needed.

Side effects

Invalid strategy_id or malformed strategy_json returns a 400 error
start_date after end_date causes a validation error
Unsupported exchange or interval combination may return a 422 error
Insufficient historical data for the specified date range returns an error
Missing required fields such as asset or initial_balance causes a 400 bad request
Payment of 0.1 USDC not settled via x402 results in a 402 Payment Required response

Input

Schema · Request body

Field	Type	Description
seed	integer
asset	string
fee_pct	number
end_date	string
exchange	string
interval	string
data_file	string
base_token	string
generation	integer
start_date	string
data_source	string
quote_token	string
strategy_id	string
slippage_pct	number
cooldown_bars	integer
strategy_json	string
corpus_dataset	string
initial_balance	number
lookback_months	integer
volatility_mode	string
execution_config	object
hourly_data_file	string
max_trade_amount	number
min_trade_amount	number
market_data_venue	string
target_volatility	number
volatility_window	integer
max_open_positions	integer
max_risk_per_trade	number
max_trades_per_day	integer
max_units_per_trade	number
daily_momentum_limit	number
initial_asset_balance	number
min_balance_threshold	number
weekly_momentum_limit	number
enable_volatility_adjustment	boolean

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