Skip to main content
GET
/
1
/
metadata
/
trendings
Get metadata trendings
curl --request GET \
  --url https://demo-api.mobula.io/api/1/metadata/trendings
[
  {
    "name": "<string>",
    "symbol": "<string>",
    "contracts": [
      {
        "address": "<string>",
        "blockchain": "<string>",
        "decimals": 123
      }
    ],
    "price_change_24h": 123,
    "price": 123,
    "logo": "<string>",
    "trending_score": 123,
    "pair": "<string>",
    "platforms": [
      {
        "name": "<string>",
        "rank": 123,
        "weigth": 123
      }
    ]
  }
]

Documentation Index

Fetch the complete documentation index at: https://docs.mobula.io/llms.txt

Use this file to discover all available pages before exploring further.

​
Query Details

NameTypeDescription
platformstringTrending source to query. Options: Dexscreener, CoinGecko, LamboTrendings. Default returns trendings from all platforms.
blockchainstringFilter by blockchain name (e.g., ethereum, solana).

​
Usage Examples

  • Query all platforms
curl -X GET "https://demo-api.mobula.io/api/1/metadata/trendings"
  • Query by platform only
curl -X GET "https://demo-api.mobula.io/api/1/metadata/trendings?platform=Dexscreener"
  • Query by platform and blockchain
curl -X GET "https://demo-api.mobula.io/api/1/metadata/trendings?platform=Dexscreener&blockchain=solana"

​
Query Response

Our meta-trendings are a grouping of trendings from several asset aggregation platforms: The trendings are updated:
  • Every 15 mins
We retrieve the top 15 of each platform and calculate a “trending score” based on the ranking and platform of each asset. Rank 1 = 15 points Rank 2 = 14 points Rank 3 = 13 points Rank 4 = 12 points … We add a special multiplier (weight in the endpoint response) according to the platform on which the asset is located:
  • LamboTrendings: x1.2
  • CoinMarketCap: x1
  • CoinGecko: x0.8
So for example: Rank 1 CoinGecko = 15 * 0.8 = 12 Rank 1 CoinMarketCap = 15 * 1 = 15 Rank 1 LamboTrendings = 15 * 1.2 = 18 And finally, if an asset is ranked on several platforms, we add up the score of each platform together, for example: 
  {
    "id": 100005597,
    "name": "Hedera",
    "symbol": "HBAR",
    "contracts": [
      {
        "address": "0x0000000000000000000000000000000000163b5a",
        "blockchain": "Hedera",
        "decimals": 8
      }
    ],
    "logo": "https://metacore.mobula.io/271ec24bf7dbca1308fdf4f7ce13596ebc1cd82a3f488c8196b6c2ebc280ebee.png",
    "trending_score": 25.4,
    "platforms": [
      { "name": "CoinMarketCap", "rank": 1, "weight": 1 },
      { "name": "CoinGecko", "rank": 3, "weight": 0.8 }
    ],
    "price_change_24h": -6.780622,
    "pair": "0xc5b707348da504e9be1bd4e21525459830e7b11d"
  },
Here for Hedera Rank 1 CoinMarketCap = 15 * 1 = 15 Rank 3 CoinGecko = 13 * 0.8 = 10.4 so, trending_score = 15 + 10.4 = 25.4

Query Parameters

​
platform
string
​
blockchain
string

Response

200 - application/json

Metadata trendings response

​
name
string | null
required
​
symbol
string | null
required
​
contracts
object[]
required
​
price_change_24h
number
required
​
price
number
required
​
logo
string | null
required
​
trending_score
number
required
​
pair
string | null
required
​
platforms
object[]
required