Tagline

Company Lister

Uncover competitive intelligence with ease

Book a Demo

Competitor Analysis

Parse testimonials pages to identify your competitors' major customers

Textual Parsing

Efficiently list companies mentioned in text and links

Market Insight

Gain valuable insights into the market landscape by identifying key players

Getting Started

Enter the full URL including the https://, for example https://www.pyqai.com. If you aren't happy with what it generated, feel free to re-run it as many times as you want.

API Integration

Want to use this via API? Sign up here to get your API token and Account ID!Try out the following code examples to get this model integrated into your app quickly:

Run via CURL

curl --location --request POST 'https://predict.pyqai.com/' --header 'Authorization: <YOUR API TOKEN HERE>' --header 'Content-Type: application/json' --data-raw '{"model": "136", "version": "451", "account": "<YOUR ACCOUNT ID HERE>", "input_sequence": "Your input goes here", "candidate_labels": ["a class","another class"]}'


import requests
import json

headers = { 'Authorization': "",'Content-Type': 'application/json'}
json_input = { "model": 136, "version": 451, "account": ,"input_sequence": "Your input goes here", "candidate_labels": ["a class","another class"]}
url = "https://predict.pyqai.com"

response = requests.post(headers=headers, json = json_input, url = url )
print(json.loads(response.content))


var myHeaders = new Headers();
myHeaders.append("Authorization", "");
myHeaders.append("Content-Type", "application/json");

var raw = JSON.stringify({
  "model": 136,
  "version": 451,
  "account": ,
  "input_sequence": "Your input here",
  "candidate_labels": [
    "a category",
    "another category"
  ]
});

var requestOptions = {
  method: 'POST',
  headers: myHeaders,
  body: raw,
  redirect: 'follow'
};

fetch("https://predict.pyqai.com", requestOptions)
  .then(response => response.text())
  .then(result => console.log(result))
  .catch(error => console.log('error', error));

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