with Token Metrics and Scale AI?
Gets the market analytics from Token Metrics. See the documentation
Create a document transcription task. See the documentation
Gets the list of coins and their associated token_id supported by Token Metrics. See the documentation
Create an image annotation task. See the documentation
Create a text annotation task. See the documentation
The Token Metrics API offers access to a trove of cryptocurrency data, including analytics, rankings, and predictions that leverage artificial intelligence and expert insights. With this API, you can automate investment strategies, integrate up-to-date crypto data into your applications, and stay informed with the latest market trends. When used on Pipedream, it allows you to build robust, serverless workflows that can react to various triggers and integrate with numerous services for a seamless data handling experience.
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`,
"api_key": `${this.token_metrics.$auth.api_key}`,
},
})
},
})
Scale AI offers an API to automate and streamline data labeling for machine learning applications, providing access to a global workforce and sophisticated tools. With Scale AI's API on Pipedream, you can integrate scalable data annotation workflows directly into your apps. Trigger tasks, manage datasets, and receive annotated data, all within Pipedream's serverless platform. This enables seamless automation of labeling tasks, integration with machine learning pipelines, and real-time updates on annotations.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
scale_ai: {
type: "app",
app: "scale_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.scale.com/v1/teams`,
headers: {
"Accept": `application/json`,
},
auth: {
username: `${this.scale_ai.$auth.api_key}`,
password: ``,
},
})
},
})