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slop-grader

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Catch AI writing & doc issues without LLM cost

From $4/mo (free plan available)
FreemiumWriting & ContentAI AssistantsAI Agents
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Tracked since2026

The Bottom Line

Price
From $4/mo (free plan available). Compare plans

Key facts

  • Exhaustively checks every line against every rule in parallel using a System One model.
  • Incremental caching re-evaluates only edited lines, making repeated runs nearly instant.
  • Designed to be used with AI agents for fixing detected issues.

Pros

  • Catches issues that generative LLMs often miss due to skimming.
  • Cost-effective by using typed probabilities instead of text generation.
  • Fast iterative editing with incremental caching.

Cons

  • Requires an AI provider (TypeSafe AI or OpenRouter) for evaluation.
  • Limited to text file grading; not a general-purpose writing assistant.

What is slop-grader?

Editorial review
Slop-grader is a CLI tool that uses a System One model (Jev) to evaluate text files against a set of rules. It runs every rule against every line independently and in parallel, ensuring no line is skipped. The tool is designed to catch AI writing patterns, document quality issues, and other textual problems without the cost and latency of generative LLMs. The tool operates as a two-step loop: first, grade a document with the CLI, then pass the output to an AI agent to plan improvements. It features incremental line caching, dynamic batching, and support for multiple AI providers. Rules are written in plain Markdown and can be validated offline.
how we evaluateSourcegithub.com ↗

Key Features

  • Parallel exhaustive grading of every line against every rule.
  • Incremental line caching with zero API calls for unchanged lines.
  • Dynamic batching of lines to minimize API calls.
  • Line-level and document-level rule evaluation.
  • Plain Markdown rulesets with offline validation.

Pricing Plans

Free Trial

Pricing checked Oct 3, 2026

slop-grader plans and prices, checked October 2026
PlanPriceDetails
Free

$0 USD per month

  • Unlimited public/private repositories
  • Host open source projects in public GitHub repositories, accessible via web or command line. Public repositories are accessible to anyone at GitHub.com.
  • Dependabot security and version updates
+4 more
  • 2,000 CI/CD minutes/month Free for public repositories
  • 500MB of Packages storage Free for public repositories
  • Issues & Projects
  • Community support
Team

$4 USD per user/month

  • Everything included in Free, plus...
  • Access to GitHub Codespaces
  • Repository rules
+9 more
  • Multiple reviewers in pull requests
  • Draft pull requests
  • Code owners
  • Required reviewers
  • Pages and Wikis
  • Environment deployment branches and secrets
  • 3,000 CI/CD minutes/month Free for public repositories
  • 2GB of Packages storage Free for public repositories
  • Web-based support
Enterprise

$21 USD per user/month

  • Everything included in Team, plus...
  • Data residency
  • Enterprise Managed Users
+7 more
  • User provisioning through SCIM
  • Enterprise Account to centrally manage multiple organizations
  • Environment protection rules
  • Repository rules
  • Audit Log API
  • SOC1, SOC2, type 2 reports annually
  • FedRAMP Tailored Authority to Operate (ATO)
Calculate your costView full pricing

Is slop-grader worth the price?

Good value

At $0 for the Free tier and $4/user/month for Team, this pricing is very generous for a rule-based text grader, especially given the inclusion of unlimited repositories and CI/CD minutes.

The Enterprise tier at $21/user/month adds compliance features but may be overpriced for teams that don't need FedRAMP or SOC2. Best for open source projects and small teams who want a simple, parallel rule-checking tool without per-seat overage surprises.

Hidden Costs & Gotchas

Team tier requires minimum 1 user, no per-user overage but $4/user/month minimum

Free tier limited to 2,000 CI/CD minutes/month for private repos

How slop-grader's pricing compares

At $4/user/mo, slop-grader is the most affordable of its 5 comparable direct competitors.

slop-grader
$4
Wordtune
$4.89
Quillbot
$7.50
Copyleaks
$7.99
ProWritingAid
$10
Sapling
$25

Entry paid plan, monthly, per user. Pricing checked Oct 3, 2026.

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Still deciding?

Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.

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slop-grader FAQ

How does slop-grader evaluate a document without generating text?

It uses a System One model (Jev) that answers discrete semantic questions with typed probabilities. This allows it to test every line against every rule in parallel without generating prose tokens, making it fast and cheap.

What happens when I edit a file and run slop-grader again?

Line evaluations are cached by the hash of the line's content and the rule's criteria. Unchanged lines resolve from the cache with zero API calls and zero cost. Only new or modified lines are batched and sent to the model.

Can I use slop-grader with any AI model provider?

It works with TypeSafe AI and OpenRouter out of the box. The tool is designed to be multi-provider, so you can configure it to use different supported backends.

How does slop-grader handle documents with hundreds of lines?

It dynamically groups lines into batches sized to fit the model's context budget (up to 255 lines per batch) and evaluates each rule across its batch in a single call. Document-level rules run in a single request across the entire text.

What kind of rules can I write for slop-grader?

Rules are written in plain Markdown and can check for specific patterns, phrases, tone, or overall structure. Built-in rulesets cover AI writing patterns, document scores, tech docs, and grammar.

Is slop-grader suitable for CI/CD pipelines?

Yes, it provides structured JSON output for pipelines and terminal output for agent fix plans, making it agent and CI ready.

How does slop-grader differ from using a standard LLM to check text?

Standard LLMs evaluate an entire document in a single prompt and often skip lines or miss rules on longer texts. Slop-grader tests every line against every rule separately and in parallel, ensuring no line is missed.

Source: github.com

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