AI Coding Generator API

API Endpoint Specifications

  • Endpoint Path: /api/3/coding-generator
  • Type of Data: JSON & 2/minute
  • Data Source: BUYFROMLO
  • Request Limit: 100,000 tokens/month (Approximate 73,000 English words)
  • Script & Integration: Code to integrate with cURL, JS, Python, Ruby, Php, Node.js, Java, .NET, Rust, Go, Typescript
AI Coding Generator API Endpoint Basic Info

API Endpoint Path

required

AI Coding Generator

api/3/coding-script-generator


Call Method

Required

POST

Type of Data Return

JSON

Output structured JSON data on AI coding scripts


Available API Arguments & Parameters

token

required

BUYFROMLO API token. Free and paid subscription APIs are available: /api/3/coding-script-generator, and accessible to on-site APP on /app/3/coding-script-generator as well

typeofcoding

required

Select the type of coding to generate. Current available options: HTMLtable, BlogCSS, Function, mlModeldevelopment

role

required

Select a role, such as Python engineer, web designer, etc


context_materials

Optional

Submit a brief of context materials that might affect the outcome of the coding responding result, such as JSON dataset, etc

apikey

Optional

Current avalable model are OpenAI GPT, Palm, Gemini, Llama & Claude


AI Coding Generator

api/3/coding-script-generator

TRY IT OUT

Code Integration and Response

Python Code Sample


import requests

apiendpoint = "https://api.buyfromlo.com/api/3/coding-script-generator"

## Required Arguments & Parameters ##

token = "your buyfromlo token"
codingType = "the target coding type"
## Current available options: htmltable
role = "a specific type of engineer and developer"
dataset = "required JSON dataset to be converted into HTML table"

## optional arguments and parameters ##
context_materials="total amount of serp results, max. 5 pages"

headers={"Authorization": "Bearer " + token}

## Call the api ##
response = requests.post(apiendpoint, json={"type":codingType, "context_materials": context_materials, "role": role, "json_rawData": dataset}, headers= headers)
print(response.status_code)
print(response.json())

JSON Response Sample


{
    "coding response",
    "token spent"
}