with CATS and Exa (Formerly Metaphor)?
Adds a specific candidate to a job pipeline in CATS. See the documentation
Find similar links to the link provided. See the documentation](https://docs.metaphor.systems/reference/findsimilar)
Create a new candidate in your CATS database. See the documentation
Retrieve contents of documents based on a list of document IDs. See the documentation. It is used to instantly
get content for documents, given the IDs of the documents. We currently support extracts - the first 1000 tokens (~750 words) of parsed HTML for a site. Note that each piece of content retrieved costs 1 request. Also note that instant
is a little bit of a lie if you are using keyword search, in which case contents might take a few seconds to retrieve.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
cats: {
type: "app",
app: "cats",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.catsone.com/v3/users`,
headers: {
"Authorization": `Token ${this.cats.$auth.api_key}`,
},
})
},
})
The Exa (Formerly Metaphor) API enables you to enrich your applications with machine learning-powered insights and data processing capabilities. With Exa, you can perform advanced data analysis, extract meaningful patterns, and automate decision-making processes within your projects. By integrating this API with Pipedream, you can create seamless workflows that leverage these intelligent features alongside other services to streamline your operations, enhance data intelligence, and drive innovation.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
metaphor: {
type: "app",
app: "metaphor",
}
},
async run({steps, $}) {
const data = {
"query": `test`,
}
return await axios($, {
method: "post",
url: `https://api.metaphor.systems/search`,
headers: {
"accept": `application/json`,
"Content-Type": `application/json`,
"x-api-key": `${this.metaphor.$auth.api_key}`,
},
data,
})
},
})