RiskAdvisor is the all-new smart-form software for insurance agencies that empowers your producers and virtual assistants, while making your agency more commission, and reducing your E&O exposure.
Emit new event each time a client is updated in RiskAdvisor. See the documentation
Emit new event each time a new client is created in RiskAdvisor. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Creates a risk profile in RiskAdvisor. See the documentation
The RiskAdvisor API offers a way to integrate insurance advisory services into your applications seamlessly. By leveraging this API within Pipedream, you can automate the process of obtaining insurance quotes, processing claims, and providing personalized insurance advice. Pipedream's serverless execution environment allows you to create workflows that react to various triggers (such as webhooks, emails, or schedules) and interact with the RiskAdvisor API to carry out tasks without manual intervention. This can streamline operations for insurance agencies, fintech apps, or any business that needs to integrate insurance-related services.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
riskadvisor: {
type: "app",
app: "riskadvisor",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.riskadvisor.insure/api/clients`,
headers: {
Authorization: `Bearer ${this.riskadvisor.$auth.api_token}`,
},
})
},
})
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt
file or running pip
.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}