with Token Metrics and Node?
Retrieve AI-generated reports providing comprehensive analyses of cryptocurrency tokens, including deep dives, investment analyses, and code reviews. See the documentation
Write custom Node.js code and use any of the 400k+ npm packages available. Refer to the Pipedream Node docs to learn more.
Get the Top 10 and Bottom 10 correlation of tokens with the top 100 market cap tokens. See the documentation
Get the latest list of crypto investors and their scores. See the documentation
Get daily OHLCV (Open, High, Low, Close, Volume) data for tokens. See the documentation
The Token Metrics API integration for Pipedream provides comprehensive access to cryptocurrency data, analytics, and AI-powered insights. This component enables seamless integration of advanced token metrics, market analysis, and trading intelligence into your automated workflows.
Token Metrics delivers institutional-grade cryptocurrency analytics, including AI-generated reports, trading signals, fundamental and technical analysis, market metrics, and performance data across thousands of digital assets.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
token_metrics: {
type: "app",
app: "token_metrics",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.tokenmetrics.com/v2/tokens`,
headers: {
"accept": `application/json`,
"x-api-key": `${this.token_metrics.$auth.api_key}`,
},
})
},
})
Develop, run and deploy your Node.js code in Pipedream workflows, using it between no-code steps, with connected accounts, or integrate Data Stores and File Stores
This includes installing NPM packages, within your code without having to manage a package.json
file or running npm install
.
Below is an example of installing the axios
package in a Pipedream Node.js code step. Pipedream imports the axios
package, performs the API request, and shares the response with subsequent workflow steps:
// To use previous step data, pass the `steps` object to the run() function
export default defineComponent({
async run({ steps, $ }) {
// Return data to use it in future steps
return steps.trigger.event
},
})