with CoinMarketCap and Metatext.AI Pre-build AI models API?
Returns all static metadata available for one or more cryptocurrencies. See the documentation
Determine the sentiment of the given text (positive, negative, or neutral). See the documentation
Returns a mapping of all cryptocurrencies to unique CoinMarketCap ids. See the documentation
Identify and extract significant keywords from the given text. See the documentation
Returns a paginated list of all active cryptocurrencies with latest market data. See the documentation
The CoinMarketCap API delivers real-time and historical cryptocurrency market data, including price, volume, market cap, and much more, for over 9,000 cryptocurrencies. With this data, you can track crypto trends, compare currency performance, or integrate up-to-date information into apps, widgets, or websites. Pipedream's platform enables developers to create automated workflows that can harness the vast array of data from CoinMarketCap to trigger actions, notify stakeholders, or power analytics dashboards.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
coinmarketcap: {
type: "app",
app: "coinmarketcap",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.coinmarketcap.$auth.environment}-api.coinmarketcap.com/v1/key/info`,
headers: {
"X-CMC_PRO_API_KEY": `${this.coinmarketcap.$auth.api_key}`,
},
})
},
})
The Metatext.AI Pre-built AI Models API offers various artificial intelligence capabilities such as natural language processing, image recognition, and sentiment analysis. This API enables users to add AI features to their applications without the need for extensive machine learning expertise. Utilizing this API in Pipedream workflows allows for automation and integration with other services, making it possible to process and analyze text and images within a serverless environment efficiently.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
metatext_ai_pre_build_ai_models_api: {
type: "app",
app: "metatext_ai_pre_build_ai_models_api",
}
},
async run({steps, $}) {
const data = {
"text": `{your_text}`,
}
return await axios($, {
method: "post",
url: `https://api.metatext.ai/hub-inference/sentiment-analysis`,
headers: {
"Content-Type": `application/json`,
"x-api-key": `${this.metatext_ai_pre_build_ai_models_api.$auth.api_key}`,
},
data,
})
},
})