Get Trending Tokens

Discover CoinVera’s Trend endpoint for real-time insights into the top trending Solana tokens—filterable by time window and result count.

Identify the hottest Solana tokens over a recent timeframe. Use the Trend endpoint to retrieve a ranked list of tokens sorted by activity, volume, or momentum.

Endpoint

GET https://api.coinvera.io/api/v1/trend

Authentication Include your API key in the request header:

x-api-key: <YOUR_API_KEY>

Query Parameters

Parameter	Type	Required	Description
hour	number	✅	Lookback window in hours (e.g. 1, 6, 24).
limit	number	✅	Maximum number of tokens to return (e.g. 10, 50).

Direct URL Example

https://api.coinvera.io/api/v1/trend?hour=6&limit=20

…plus your x-api-key header.

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Code Examples

Nodejs

const axios = require('axios');

const x_api_key = "";

// Configuration
const hour = 24;  // Change this to 1, 6, 12, or 24 hours
const limit = 10; // Number of results to return

async function getTrend(hour, limit) {
    try {
        const url = `https://api.coinvera.io/api/v1/trend?x-api-key=${x_api_key}&hour=${hour}&limit=${limit}`;
        const response = await axios.get(url);
        return { hour, limit, ...response.data };
    } catch (err) {
        return { hour, limit, error: err.message };
    }
}

async function fetchTrend() {
    const result = await getTrend(hour, limit);
    
    if (result.error) {
        console.log(`Error for ${result.hour}h trend (limit: ${result.limit}): ${result.error}`);
    } else {
        console.log(`Trend data for ${result.hour}h (limit: ${result.limit}):`);
        console.log(JSON.stringify(result, null, 2));
    }
}

fetchTrend();

Python

import requests
import json

x_api_key = ""

# Configuration
hour = 24  # Change this to 1, 6, 12, or 24 hours
limit = 10  # Number of results to return

def get_trend(hour, limit):
    try:
        url = f"https://api.coinvera.io/api/v1/trend?x-api-key={x_api_key}&hour={hour}&limit={limit}"
        response = requests.get(url)
        response.raise_for_status()  # Raises an HTTPError for bad responses
        
        data = response.json()
        return {"hour": hour, "limit": limit, **data}
    except Exception as err:
        return {"hour": hour, "limit": limit, "error": str(err)}

def fetch_trend():
    result = get_trend(hour, limit)
    
    if "error" in result:
        print(f"Error for {result['hour']}h trend (limit: {result['limit']}): {result['error']}")
    else:
        print(f"Trend data for {result['hour']}h (limit: {result['limit']}):")
        print(json.dumps(result, indent=2))

# Run the function
fetch_trend()

Go

package main

import (
	"encoding/json"
	"fmt"
	"io"
	"net/http"
	"strconv"
)

const xAPIKey = ""

// Configuration
const hour = 24 // Change this to 1, 6, 12, or 24 hours
const limit = 10 // Number of results to return

type TrendResult struct {
	Hour  int         `json:"hour"`
	Limit int         `json:"limit"`
	Data  interface{} `json:"data,omitempty"`
	Error string      `json:"error,omitempty"`
}

func getTrend(hour, limit int) TrendResult {
	url := fmt.Sprintf("https://api.coinvera.io/api/v1/trend?x-api-key=%s&hour=%d&limit=%d", 
		xAPIKey, hour, limit)

	resp, err := http.Get(url)
	if err != nil {
		return TrendResult{
			Hour:  hour,
			Limit: limit,
			Error: err.Error(),
		}
	}
	defer resp.Body.Close()

	body, err := io.ReadAll(resp.Body)
	if err != nil {
		return TrendResult{
			Hour:  hour,
			Limit: limit,
			Error: err.Error(),
		}
	}

	// Check for HTTP errors
	if resp.StatusCode != http.StatusOK {
		return TrendResult{
			Hour:  hour,
			Limit: limit,
			Error: fmt.Sprintf("HTTP %d: %s", resp.StatusCode, string(body)),
		}
	}

	var data interface{}
	if err := json.Unmarshal(body, &data); err != nil {
		return TrendResult{
			Hour:  hour,
			Limit: limit,
			Error: err.Error(),
		}
	}

	return TrendResult{
		Hour:  hour,
		Limit: limit,
		Data:  data,
	}
}

func fetchTrend() {
	result := getTrend(hour, limit)

	if result.Error != "" {
		fmt.Printf("Error for %dh trend (limit: %d): %s\n", result.Hour, result.Limit, result.Error)
	} else {
		fmt.Printf("Trend data for %dh (limit: %d):\n", result.Hour, result.Limit)
		jsonData, _ := json.MarshalIndent(result.Data, "", "  ")
		fmt.Println(string(jsonData))
	}
}

func main() {
	fetchTrend()
}

Example Response

{
  "0": {
    "buy_volume_usd": 264171537.95575368,
    "latest_price": 0.0030217195692742236,
    "net_inflow_usd": 255050220.33141094,
    "sell_volume_usd": 9121317.624342749,
    "token_address": "8jVcgXXUReoiFCDzDMEhftCvA7HWqLX6rNmZ6AxLpump",
    "token_symbol": "stockcoin"
  },
  "1": {
    "buy_volume_usd": 182223999.0542052,
    "latest_price": 0.000013589051139642012,
    "net_inflow_usd": 180950650.5435902,
    "sell_volume_usd": 1273348.510615017,
    "token_address": "Hz7NdWK3aX5asNLywHDkQxgpXC38nTVDLPpaTGd7pump",
    "token_symbol": "$1 stock"
  },
  "2": {
    "buy_volume_usd": 123156467.66647036,
    "latest_price": 0.006432619799014278,
    "net_inflow_usd": 111710199.7289238,
    "sell_volume_usd": 11446267.937546562,
    "token_address": "55KrNjWHrkgxCzTLvcgaKYDxaopuxZK8vETi1CJNpump",
    "token_symbol": "invest"
  },
  "3": {
    "buy_volume_usd": 102657933.11458473,
    "latest_price": 0.00004347762674059343,
    "net_inflow_usd": 95527427.26541495,
    "sell_volume_usd": 7130505.849169775,
    "token_address": "9mfqn25C1nMVwn7YjxdJFvvTqichHFf8aR6vzNzPSodh",
    "token_symbol": "commodity"
  },
  "4": {
    "buy_volume_usd": 89250429.5964523,
    "latest_price": 0.00005535670512988365,
    "net_inflow_usd": 84827414.22617784,
    "sell_volume_usd": 4423015.370274453,
    "token_address": "HYJ9CKdVBwqYnZTEkEgWoyZJikWJ6icQKtaiNRgXpump",
    "token_symbol": "GAYMAN"
  },
  "5": {
    "buy_volume_usd": 63629733.73753922,
    "latest_price": 0.00013600745164074442,
    "net_inflow_usd": 61013882.9096696,
    "sell_volume_usd": 2615850.8278696146,
    "token_address": "8wvLsACsR3owhGzmLLHTgh2waW2vKNtVYWDs9cCopump",
    "token_symbol": "memestock"
  },
  "6": {
    "buy_volume_usd": 52124966.063705124,
    "latest_price": 0.00031610543953291745,
    "net_inflow_usd": 48378200.87247831,
    "sell_volume_usd": 3746765.1912268195,
    "token_address": "7CLBRXBp534WyZfgMDnR3E4VyedeHVPFQe3P1EHDpump",
    "token_symbol": "STONKS"
  },
  "7": {
    "buy_volume_usd": 43201371.32219729,
    "latest_price": 0.0021707478800632187,
    "net_inflow_usd": 37071648.85030203,
    "sell_volume_usd": 6129722.471895258,
    "token_address": "39zSVsSHFqNhARbVh6n8ZF78nCmhV3gSg8D39xhBNe73",
    "token_symbol": "AP"
  },
  "8": {
    "buy_volume_usd": 36782092.849714845,
    "latest_price": 0.000011710087778822374,
    "net_inflow_usd": 35871217.70677651,
    "sell_volume_usd": 910875.1429383396,
    "token_address": "4cjmXiM4Mg7F5Q5mXJF4Xn9y36wY9xLHK5nzcN4qpump",
    "token_symbol": "Microsoft"
  },
  "9": {
    "buy_volume_usd": 35514986.57322835,
    "latest_price": 0.000006468656907085074,
    "net_inflow_usd": 34865718.1163198,
    "sell_volume_usd": 649268.4569085517,
    "token_address": "5hYQrmP7yPZ6KMnmRbs2waU729abjx3yjuPH3npkpump",
    "token_symbol": "PEABODY"
  },
  "hour": 24,
  "limit": 10
}

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Tip: Try different hour windows to capture short-term spikes or longer-term trends, and adjust limit to tailor the size of your results list.