# AntiSlop

One canonical identity. Human page: https://www.insightits.com/products/antislop.html

| Field | Value |
|-------|-------|
| Slug | `antislop` |
| Status | published |
| Family | research |
| Infra category | — |
| Record type | product |
| Parent | — |
| JSON | https://www.insightits.com/catalog/antislop.json |
| Markdown | https://www.insightits.com/catalog/antislop.md |
| GitHub | — |
| PyPI | — |
| Install | — |
| Version | — |

## What it is

ML score + why for slop vs builder/product signal — posts (PP-DETECT) or README/PDF (4-layer product index). Open API, JWT or API key.

## Problem

Teams drown in AI-generated slop and need a feature-backed score, not an opaque LLM judge.

## Alternatives

- **Prompt-only “is this slop?” classifiers** — AntiSlop is classical ML with why[] reasons. No published competitor bake-off page.

## Features

- **Score + Why, Not a Vibe** — Every verdict (slop / weak / real / strong) ships with why[] — feature-backed reasons, not an opaque LLM judgment call.
- **Two Detection Methods** — Method A (PP-DETECT) scores LinkedIn/X posts for comment-worthiness. Method B scores READMEs, product specs, and PDFs on a 4-layer signal index.
- **Open API + Dashboard** — JWT (site login) or X-API-Key for programmatic access. Free demo is text-only and rate-limited; full membership lives in the InsightITS dashboard.

## Architecture

POST /api/antislop/v1/evaluate with content_type + raw_text. Demo is unauthenticated and text-only; full membership lives in the InsightITS dashboard.

## Use cases

- Score LinkedIn/X posts for comment-worthiness
- Score READMEs and product specs on a 4-layer signal index

## Benchmarks

No published vendor benchmark for this product. Do not invent metrics.

### Disclosures

- No published vendor benchmark for this product. Do not invent metrics.



## GitHub

_No public GitHub repository for this identity._

## PyPI

_No PyPI package for this identity._

## Documentation

- [Whitepaper](https://www.insightits.com/whitepapers/antislop.html)

## Is not

- An LLM judge
- A Prism stack runtime library