Pagination, Filtering, and Sorting

Master efficient data retrieval with pagination, filtering, and sorting. Learn how to optimize queries and reduce API calls using query parameters.

Pagination

Smart Money API uses cursor-based pagination for efficient data retrieval. Specify page number and limit to control result sets.

Parameter	Type	Default	Max
page	integer	1	N/A
limit	integer	50	500

Pagination Example

cURL

# Get first 100 results
curl "https://api.smartmoneyapi.com/v1/whales/events?page=1&limit=100"

# Get second page
curl "https://api.smartmoneyapi.com/v1/whales/events?page=2&limit=100"

Response Pagination Info

JSON

{
  "success": true,
  "data": {...},
  "pagination": {
    "page": 1,
    "limit": 50,
    "total": 420,
    "total_pages": 9,
    "has_next": true,
    "has_prev": false
  }
}

Filtering

Filter results by symbol, exchange, direction, and other criteria. Filters are combined with AND logic.

Filter	Values	Example
symbol	Trading pair	BTCUSDT, ETHUSDT
exchange	bybit, binance, hyperliquid	bybit
direction	long, short	long
min_position_size	Number	10.5
min_pnl_percent	Number	2.0

Filtering Example

cURL

# Filter by symbol and direction
curl "https://api.smartmoneyapi.com/v1/whales/events?symbol=BTCUSDT&direction=long"

# Filter by exchange and minimum position size
curl "https://api.smartmoneyapi.com/v1/whales/events?exchange=bybit&min_position_size=15"

Sorting

Sort results by position size, P&L, or other fields. Specify field and direction (asc/desc).

cURL

# Sort by position size descending (largest first)
curl "https://api.smartmoneyapi.com/v1/whales/events?sort=position_size&order=desc"

# Sort by P&L ascending
curl "https://api.smartmoneyapi.com/v1/whales/events?sort=pnl_percent&order=asc"

Complete Examples

Python: Iterate Through All Pages

Python

import requests

def get_all_whale_positions(api_key, symbol=None):
    """Fetch all whale positions with pagination"""
    all_positions = []
    page = 1

    while True:
        params = {
            "page": page,
            "limit": 100,  # Max batch size
            "sort": "position_size",
            "order": "desc"
        }

        if symbol:
            params["symbol"] = symbol

        response = requests.get(
            "https://api.smartmoneyapi.com/v1/whales/events",
            headers={"Authorization": f"Bearer {api_key}"},
            params=params
        )

        data = response.json()
        all_positions.extend(data["data"]["positions"])

        # Check if there are more pages
        if not data["pagination"]["has_next"]:
            break

        page += 1

    return all_positions

# Usage
positions = get_all_whale_positions("sk_live_abc123xyz789", symbol="BTCUSDT")
print(f"Found {len(positions)} whale positions")

Best Practices

1. Use maximum limit (100-500): Fewer API calls to retrieve same amount of data. Batch results efficiently.

2. Filter server-side: Use query parameters to filter at source, not in your application code. Reduces data transfer.

3. Sort on the server: Request sorted results from the API. Sorting at scale is efficient on the server.

4. Cache and paginate: Cache results locally and paginate through cached data to minimize API calls.

5. Stop early if possible: Don't always fetch all pages. Stop when you have enough data for your use case.

Learn More

Explore the complete API reference for all filtering and sorting options.