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PayPerQ

API

Welcome to the PayPerQ API!

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Our API is OpenAI Compatible, which means that you can plug it into a number of third party softwares like Cursor and Cline, even with non-openAI models. To check on costs, see the account activity section. For coding, we recommend using Sonnet3.7 as it has prompt caching and agentic capabilities.

For questions or support, please use the chat widget in the bottom right!

Your API Key:

Endpoint

POST https://api.ppq.ai/chat/completions

https://api.ppq.ai

New!Want to top up your account via API? Click here

Popular Third Party Integration Tutorials:

Set up with Cline
Set up with Aider
Set up with Goose
WebsiteAPI

Popular models

Model Name
Model ID
Provider
Max Context
Date Added
Input Rate
Output Rate
Average Cost
Prompts / $1
No models available

Available text models

Model Name
Model ID
Provider
Max Context
Date Added
Input Rate
Output Rate
Average Cost
Prompts / $1
No models available

Models endpoint

import requests

url = "https://api.ppq.ai/v1/models"

response = requests.get(url)
print(response.json())

Code Examples

import requests

api_key = ""
url = "https://api.ppq.ai/chat/completions"

headers = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {api_key}"
}

data = {
    "model": "claude-3.5-sonnet",
    "messages": [{"role": "user", "content": "Hello, how are you?"}]
}

response = requests.post(url, json=data, headers=headers)
print(response.json())

Speech-to-Text API

Convert audio to text using our OpenAI-compatible transcription API. Powered by Deepgram Nova-3 for high-quality, accurate transcriptions.

Endpoint

POST https://ppq.ai/api/v1/audio/transcriptions

Supported Audio Formats

mp3, mp4, mpeg, mpga, m4a, wav, webm (max 25MB)

Parameters

file*The audio file to transcribe
modelModel to use: "nova-3" (default) or "nova-2"
response_formatFormat: json, text, srt, vtt, or verbose_json (default: json)
languageLanguage code (e.g., "en", "es", "fr") or "multi" for auto-detect
promptOptional text to guide the model's style

Code Examples

from openai import OpenAI

# Initialize client with PayPerQ API
client = OpenAI(
    api_key="",
    base_url="https://ppq.ai/api/v1"
)

# Transcribe audio file
with open("audio.mp3", "rb") as audio_file:
    transcription = client.audio.transcriptions.create(
        model="nova-3",  # Deepgram Nova-3
        file=audio_file,
        response_format="json"  # Options: json, text, srt, vtt, verbose_json
    )

print(transcription.text)