The world’s most accurate AI Detector now available through API.
Investigates whether AI-generated content is present within the given text. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Inspects if the submitted text contains plagiarised materials. See the documentation
The Winston AI API offers robust content detection, enabling developers to analyze text for various purposes such as sentiment analysis, spam detection, and more. Within Pipedream, you can harness this API to build serverless workflows that react to content, integrate with numerous other apps, and automate responses or actions based on the API's insights. You might craft workflows that filter user-generated content, trigger alerts on negative sentiments, or enhance data collection with AI-driven context.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
winston_ai: {
type: "app",
app: "winston_ai",
}
},
async run({steps, $}) {
const data = {
"sentences": true,
"text": "In the heart of an ancient forest, where sunlight filters through a canopy of emerald leaves, a small, crystal-clear stream winds its way over smooth pebbles and under fallen logs, murmuring softly as it goes. This serene haven, untouched by the hustle and bustle of modern life, is a testament to nature's enduring beauty and tranquility, offering solace to those who seek its quiet embrace and reminding us of the simple, yet profound joys that lie in the natural world around us.",
"version": "3.0"
}
return await axios($, {
method: "post",
url: `https://api.gowinston.ai/functions/v1/predict`,
headers: {
Authorization: `Bearer ${this.winston_ai.$auth.api_token}`,
},
data,
})
},
})
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}}