with Algorithmia and Data Stores?
Add or update a single record in your Pipedream Data Store
Add or update multiple records to your Pipedream Data Store
Append to a record in your data store Pipedream Data Store. If the record does not exist, a new record will be created in an array format.
Check if a key exists in your Pipedream Data Store or create one if it doesn't exist.
The Algorithmia API provides access to a myriad of algorithms in various categories like machine learning, data analysis, and natural language processing. By utilizing this API on Pipedream, you can automate complex tasks that require advanced computations, such as sentiment analysis, image processing, or predictive modeling, without the need to develop and maintain the underlying algorithms yourself. Pipedream's serverless platform allows you to seamlessly integrate these capabilities with other services to create powerful data processing pipelines.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
algorithmia: {
type: "app",
app: "algorithmia",
}
},
async run({steps, $}) {
return await axios($, {
method: "post",
url: `https://api.algorithmia.com/v1/algo/demo/Hello/`,
headers: {
"Authorization": `Simple ${this.algorithmia.$auth.YOUR_API_KEY}`,
},
})
},
})
Data Stores are a key-value store that allow you to persist state and share data across workflows. You can perform CRUD operations, enabling dynamic data management within your serverless architecture. Use it to save results from API calls, user inputs, or interim data; then read, update, or enrich this data in subsequent steps or workflows. Data Stores simplify stateful logic and cross-workflow communication, making them ideal for tracking process statuses, aggregating metrics, or serving as a simple configuration store.
export default defineComponent({
props: {
myDataStore: {
type: "data_store",
},
},
async run({ steps, $ }) {
await this.myDataStore.set("key_here","Any serializable JSON as the value")
return await this.myDataStore.get("key_here")
},
})