Get the current best available prices for immediate execution decisions.

Use this tool when you need to:
- Make quick trading decisions without full orderbook depth
- Calculate current spread costs before placing orders
- Monitor real-time price changes efficiently
- Get a snapshot of current market conditions
- Determine fair mid-price for calculations

The BBO provides the most essential price information with minimal data,
perfect for quick decisions or when full orderbook depth isn't needed.

Example use cases:
- Calculating current trading spreads before placing orders
- Monitoring real-time price movements efficiently
- Determining execution prices for immediate market orders
- Calculating mid-price for order placement strategies
- Setting appropriate limit order prices to improve fill chances

Get detailed schema information to build precise data filters.

Use this tool when you need to:
- Understand exactly what fields are available for filtering
- Learn the data types and formats for specific fields
- Build complex JMESPath queries with correct syntax
- Create sophisticated filtering and sorting expressions

Knowing the exact schema helps you construct precise filters that
return exactly the data you need, avoiding trial and error.

Example use cases:
- Learning what fields exist in market data responses
- Finding the correct property names for filtering
- Understanding data types for numerical comparisons
- Building complex multi-criteria filters for large datasets

Analyze funding rates for potential funding arbitrage or to understand holding costs.

Use this tool when you need to:
- Calculate expected funding payments for a position
- Find markets with extreme funding rates for potential arbitrage
- Understand historical funding patterns for a market
- Evaluate the cost of holding a position over time

This data is critical for perpetual futures traders to assess the carrying cost
of positions and identify potential funding arbitrage opportunities.

Example use cases:
- Finding markets with negative funding for "paid to hold" opportunities
- Calculating the funding component of a trade's P&L
- Comparing funding rates across different assets for relative value trades
- Analyzing funding rate volatility to predict potential rate changes

Analyze historical price patterns for technical analysis and trading decisions.

Use this tool when you need to:
- Perform technical analysis on historical price data
- Identify support and resistance levels from price history
- Calculate indicators like moving averages, RSI, or MACD
- Backtest trading strategies on historical data
- Visualize price action over specific timeframes

Candlestick data is fundamental for most technical analysis and trading decisions,
providing structured price and volume information over time.

Example use cases:
- Identifying chart patterns for potential entries or exits
- Calculating technical indicators for trading signals
- Determining volatility by analyzing price ranges
- Finding significant price levels from historical support/resistance
- Measuring volume patterns to confirm price movements

Find markets that match your trading criteria or get detailed market specifications.

Use this tool when you need to:
- Understand exact tick sizes and minimum order sizes before placing trades
- Find all markets for a specific asset (e.g., all BTC-based markets)
- Compare contract specifications across different markets
- Identify markets with specific characteristics for your trading strategy

Retrieves comprehensive details about specified markets, including
base and quote assets, tick size, minimum order size, and other
trading parameters. If "ALL" is specified or no market IDs are provided,
returns details for all available markets.

Example use cases:
- Finding the minimum order size for a new trade
- Identifying markets with the smallest tick size for precise entries
- Checking which assets are available for trading

`asset_kind` is the type of asset in the market. It can be `PERP` or `PERP_OPTION`.

You can use JMESPath expressions (https://jmespath.org/specification.html) to filter, sort, or limit the results.
Use the `paradex_filters_model` tool to get the filters for a tool.
Examples:
- Filter by base asset: "[?base_asset=='BTC']"
- Sort by 24h volume: "sort_by([*], &volume_24h)"
- Limit to top 5 by volume: "[sort_by([*], &to_number(volume_24h))[-5:]]"

Identify the most active or volatile markets and get current market conditions.

Use this tool when you need to:
- Find the most active markets by volume for liquidity analysis
- Discover markets with significant price movements for momentum strategies
- Compare current prices across multiple assets
- Identify markets with unusual behavior for potential opportunities

Retrieves current market summary information including price, volume,
24h change, and other key market metrics. If "ALL" is specified or no market IDs
are provided, returns summaries for all available markets.

Example use cases:
- Finding high-volatility markets for short-term trading
- Identifying top gainers and losers for the day
- Comparing volume across different markets to find liquidity
- Getting the current price and 24-hour range for price analysis

You can use JMESPath expressions (https://jmespath.org/specification.html) to filter, sort, or limit the results.
Use the `paradex_filters_model` tool to get the filters for a tool.
Examples:
- Filter by high price: "[?high_price > `10000`]"
- Sort by volume: "sort_by([*], &volume)"
- Get top 3 by price change: "[sort_by([*], &to_number(price_change_percent))[-3:]]"

Analyze market depth and liquidity to optimize order entry and execution.

Use this tool when you need to:
- Assess true liquidity before placing large orders
- Identify potential support/resistance levels from order clusters
- Determine optimal limit order prices for higher fill probability
- Detect order imbalances that might signal price direction

Understanding the orderbook is essential for effective trade execution,
especially for larger orders or in less liquid markets.

Example use cases:
- Finding the optimal limit price to ensure your order gets filled
- Estimating potential slippage for market orders of different sizes
- Identifying large resting orders that might act as support/resistance
- Detecting order book imbalances that could predict short-term price moves

Understand the exchange's global parameters that affect all trading activity.

Use this tool when you need to:
- Check fee schedules before placing trades
- Verify trading limits and restrictions
- Understand exchange-wide parameters that affect your trading
- Keep up with changes to the exchange's configuration

This information provides important context for making trading decisions and
understanding how the exchange operates.

Example use cases:
- Checking current fee tiers for different markets
- Verifying maximum leverage available for specific markets
- Understanding global trading limits or restrictions
- Checking if any exchange-wide changes might affect your trading strategy

Verify the exchange is fully operational before executing trades.

Use this tool when you need to:
- Check if Paradex is functioning normally before placing important orders
- Verify system status if you encounter unexpected behavior
- Confirm that maintenance periods are not in effect
- Check exchange clock synchronization with your own systems

This is especially important before executing critical trades or when
experiencing unexpected behavior from other API calls.

Example use cases:
- Verifying the exchange is operational before executing a trading strategy
- Checking if maintenance mode is active when experiencing delays
- Confirming exchange status during periods of market volatility
- Diagnosing API issues by checking system health

Analyze actual market transactions to understand market sentiment and liquidity.

Use this tool when you need to:
- Detect large trades that might signal institutional activity
- Calculate average trade size during specific periods
- Identify buy/sell pressure imbalances
- Monitor execution prices vs. order book prices
- Understand market momentum through trade flow

Trade data provides insights into actual market activity versus just orders,
helping you understand how other participants are behaving.

Example use cases:
- Detecting large "whale" transactions that might influence price
- Analyzing trade sizes to gauge market participation
- Identifying periods of aggressive buying or selling
- Understanding trade frequency as an indicator of market interest
- Comparing executed prices to orderbook mid-price for market impact analysis

Get a comprehensive overview of a vault's trading account status.

Use this tool when you need to:
- Check account health and available margin
- Monitor total exposure and leverage
- Understand risk metrics and account status
- Assess trading capacity before placing new orders
- Get a consolidated view of account performance

This provides essential information about account standing and
trading capacity to inform risk management decisions.

Example use cases:
- Checking available margin before placing new orders
- Monitoring account health during market volatility
- Assessing total exposure across all markets
- Understanding maintenance margin requirements
- Planning position adjustments based on account metrics

Monitor active trading positions to track performance and manage risk.

Use this tool when you need to:
- Get a complete view of all open positions for a vault
- Monitor unrealized P&L across all positions
- Check liquidation prices and margin requirements
- Assess position sizing and leverage across markets
- Track entry prices and position duration

Position monitoring is fundamental to risk management and provides
the necessary information for trade management decisions.

Example use cases:
- Checking the current status of all open trades
- Monitoring unrealized profit/loss across positions
- Assessing liquidation risk during market volatility
- Comparing performance across different markets
- Planning adjustments to position sizes or leverage

Get detailed information about a specific vault or all vaults if no address is provided.

Retrieves comprehensive details about a specific vault identified by its address,
including configuration, permissions, and other vault-specific parameters.

Use jmespath_filter to reduce the number of results as much as possible as number of vaults can be large.

You can use JMESPath expressions to filter, sort, or limit the results.
Examples:
- Filter by owner: "[?owner_account=='0x123...']"
- Filter by status: "[?status=='ACTIVE']"
- Find vaults with specific strategy: "[?contains(strategies, 'strategy_id')]"
- Sort by creation date: "sort_by([*], &created_at)"
- Limit to newest vaults: "sort_by([*], &created_at)[-5:]"
- Select specific fields: "[*].{address: address, name: name, kind: kind, status: status}"

Get a comprehensive summary of a specific vault or all vaults if no address is provided.

Retrieves a summary of all important information about a vault,
including balance, positions, recent activity, and performance metrics.
This provides a high-level overview of the vault's current state.

Use jmespath_filter to reduce the number of results as much as possible as number of vaults can be large.

You can use JMESPath expressions to filter, sort, or transform the results.
Examples:
- Filter by TVL: "[?to_number(tvl) > `10000`]"
- Filter by performance: "[?to_number(total_roi) > `5.0`]"
- Sort by TVL (descending): "reverse(sort_by([*], &to_number(tvl)))"
- Get top performers: "sort_by([*], &to_number(total_roi))[-3:]"
- Filter by recent returns: "[?to_number(roi_24h) > `0.5`]"
- Extract specific metrics: "[*].{address: address, tvl: tvl, total_roi: total_roi, volume_24h: volume_24h}"

Track deposit and withdrawal history for auditing and reconciliation.

Use this tool when you need to:
- Verify deposits have completed and are available for trading
- Track withdrawal status and confirm transaction settlement
- Audit the complete fund flow history for a vault
- Reconcile on-chain transactions with platform records
- Understand historical capital allocation patterns

Complete transfer history is essential for proper accounting and provides
a clear audit trail of all capital movements.

Example use cases:
- Confirming that a recent deposit was credited to your account
- Tracking the status of pending withdrawals
- Creating transaction reports for accounting or tax purposes
- Verifying the total amount deposited over time
- Analyzing deposit/withdrawal patterns for strategy insights