You can access the Corpus Coverage Gate programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {}
9
10# Run the Actor and wait for it to finish
11run = client.actor("owlects/corpus-coverage-gate").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
15for item in client.dataset(run.default_dataset_id).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Corpus Coverage Gate API in Python

The Apify API client for Python is the official library that allows you to use Corpus Coverage Gate API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Corpus Coverage Gate API in JavaScript

Corpus Coverage Gate API through CLI

Corpus Coverage Gate OpenAPI definition

Corpus Coverage Gate API

RAG Corpus Quality Auditor

civicdataworks/rag-corpus-quality-auditor

Score web pages for RAG corpus quality: text length, heading structure, boilerplate hints, token estimate, metadata, and warnings.

Rowan Mercer

Docs → RAG Corpus Builder (LLM-ready Markdown + llms.txt)

yasaslive/docs-rag-builder

Crawl any documentation site into an embeddings-ready corpus: clean markdown chunks with heading-path metadata, generated llms.txt, corpus.jsonl, and optional OpenAI embeddings.

Eonix Pvt Ltd

Knowledge Intelligence Engine — Website to Markdown for RAG

ryanclinton/website-content-to-markdown

Turn any website, documentation site or help centre into a retrieval-ready knowledge corpus for RAG and AI search. Clean Markdown plus chunks, change detection, deduplication, retrieval scoring, version awareness and a full corpus audit, in one run.

Ryan Clinton

Torrent / BitTorrent DHT corpus search & crawl statistics

apricot_inference/fast-tracker

Search a live BitTorrent DHT metadata corpus and see how fast it is growing. Two endpoints: /search with category filters and relevance ranking, and /stats with a per-minute capture rate you can verify. No endpoint or key needed — the corpus is crawled and hosted by this Actor's operator.

Raul Sota

Common Crawl Corpus Builder

zentrafoundry/common-crawl-targeted-corpus-builder

Build targeted text corpora from Common Crawl with provenance.

Zentra

Site Crawler: Website → Markdown Corpus for LLM/RAG

boxbox10/site-crawler

Crawl a whole website or docs site and get one clean, LLM-ready Markdown + JSON record per page (title, headings, content, links, token count). Built for RAG ingestion and AI knowledge bases.

Marvin Eguilos

YouTube & Transcript Corpus Audit for RAG

taroyamada/youtube-channel-transcript-rag-intelligence

Audit authorized transcript text for RAG readiness, produce retrieval chunks and source-linked reports, and optionally try public YouTube captions without login or cookies.

naoki anzai

Website Crawl Preflight Auditor

sebastian-actors/website-crawl-preflight-auditor

Check robots.txt, sitemaps, static extraction quality, crawl risk, and estimated Apify costs before running a crawler or RAG ingestion job.

Sebastián S

RAG Corpus Provenance Packager

flintglade/rag-corpus-provenance-packager

Package rights-declared HTML, Markdown, text, and born-digital PDFs into deterministic RAG pages, traceable chunks, and verified manifests.

Flintglade

Website to AI / RAG Data Extractor

scrapyx/website-rag-extractor

Turns any website into a clean, embedding-ready corpus. Strips navigation, footers and cookie banners, converts the real content to markdown, and splits it into overlapping chunks that each carry their own URL, title and metadata. Crawl by URL list, sitemap or link graph.