What do you want to automate
with Cradl AI and Verdict as a Service?
Prompt, edit and deploy AI agents that connect to Cradl AI, Verdict as a Service and 2,500+ other apps in seconds.
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Popular Ways to Connect Cradl AI with Verdict as a Service#
Popular Cradl AI and Verdict as a Service Triggers#
Emit new event when a document processing flow has completed.
Popular Cradl AI and Verdict as a Service Actions#
Scans a file for malware and other threats. See the docs here
Parses data from a document using a custom selected model. See the documentation
Sends a document to an existing flow for human-in-the-loop processing. See the documentation
Overview of Cradl AI#
Cradl AI is a powerful tool for creating customized machine learning models without extensive coding knowledge. It specializes in processing and understanding various forms of data, including text and images. Utilizing the Cradl AI API on Pipedream, developers can automate workflows involving data analysis, enhance data-driven decision-making, and integrate AI capabilities into applications seamlessly. This opens up opportunities for dynamic interactions with other services, streamlining operations and enhancing user experiences.
Connect Cradl AI#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
cradl_ai: {
type: "app",
app: "cradl_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.lucidtech.ai/v1/users`,
headers: {
Authorization: `Bearer ${this.cradl_ai.$auth.oauth_access_token}`,
},
})
},
})
Overview of Verdict as a Service#
Verdict as a Service (VaaS) API provides a powerful interface for automating the analysis of files and URLs for potential threats. Leveraging the capabilities of Pipedream, users can create sophisticated workflows that trigger actions based on the results of the threat analysis. From email attachments to submitted URLs, VaaS can be integrated into a variety of security and data processing pipelines to ensure safety and compliance.
Connect Verdict as a Service#
import Vaas from "gdata-vaas";
export default defineComponent({
props: {
verdict_as_a_service: {
type: "app",
app: "verdict_as_a_service",
}
},
async run({steps, $}) {
// create vaas client
const vaas = await createVaasWithClientCredentialsGrant(
CLIENT_ID,
CLIENT_SECRET,
TOKEN_URL,
VAAS_URL
);
// request verdict for file
const verdict = await vaas.forFile(response.data);
if (verdict === "Malicious") {
console.log("This was malware.");
}
},
})
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