What do you want to automate
with FraudLabs Pro and Data Stores?
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Popular FraudLabs Pro and Data Stores Actions#
Verify that an OTP sent by the Send SMS Verification API is valid. Please refer to the documentation for the explanation of the result returned.
Add or update a single record in your Pipedream Data Store
Send an SMS with verification code and a custom message for authentication purpose. Please refer to the documentation for the explanation of the result returned. NOTE: You need to register for an API key before using this REST API. Please visit Micro Plan to sign up for an API key if you do not have one. In addition, you will also have to make sure you have enough SMS credits to send any verification SMS.
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.
Overview of FraudLabs Pro#
The FraudLabs Pro API offers a robust suite of fraud prevention tools that empower users to screen online transactions for fraud. It leverages advanced scoring analytics to rate the risk level of a transaction based on various verification checks, such as IP address, email, transaction velocity, and more. Using Pipedream, developers can integrate these capabilities into workflows to automate fraud checks, augment data analysis, and trigger actions based on fraud scores.
Connect FraudLabs Pro#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
fraudlabs_pro: {
type: "app",
app: "fraudlabs_pro",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.fraudlabspro.com/v1/order/screen`,
params: {
key: `${this.fraudlabs_pro.$auth.api_key}`,
ip: `[ip_address]`,
},
})
},
})
Overview of Data Stores#
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.
Connect Data Stores#
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")
},
})Trusted by 1,000,000+ developers from startups to Fortune 500 companies