Grammarly API

AI detection and writing analysis for content workflows

Use the Grammarly API through OpenOctopus when your product needs AI detection, writing analysis, review routing, and content-quality checks inside an application workflow.

Start with $1 credit.

Sleek black octopus with glowing blue scanning tentacles analyzing text streams for AI patterns, futuristic OpenOctopus tech aesthetic

Grammarly API snapshot

AI detection API
Score text for AI-generation signals
Writing analysis
Route text review through an application workflow
Risk routing
Trigger human review based on thresholds
Playground testing
Validate text samples before integration
Structured blue AI detection workflow diagram showing text analysis pipeline with octopus scanning nodes, technical infrastructure aesthetic

Add detection to content pipelines

The Grammarly API should sit where text enters your system: submission forms, CMS drafts, classroom uploads, review queues, or moderation tools. Instead of treating AI detection as a separate manual step, your product can analyze text and route it to the right reviewer.

Grammarly's AI detector page explains the user-facing detector, and Grammarly's AI detector guidance explains why results should be interpreted carefully. For deeper accuracy context, use the Grammarly AI Detection Review.

Clean blue API integration flow diagram showing content submission, analysis, and routing with octopus nodes, developer infrastructure aesthetic

Submit text, score risk, route review

Design the Grammarly API flow around review decisions.

Submit. Send the text sample with document ID, user ID, source, and language metadata.

Score. Receive AI-detection signals and writing-analysis output.

Route. Send high-risk content to an editor, instructor, moderator, or compliance reviewer.

Record. Store score, decision, reviewer action, and final status for auditability.

Grammarly API integration patterns

1

CMS screening

Flag contributed articles before publication

2

Education review

Route student submissions to instructor review

3

UGC moderation

Detect AI spam in comments, reviews, and posts

4

Editorial QA

Add AI checks beside grammar, style, and fact review

5

Batch audits

Process existing content libraries for risk signals

6

Threshold rules

Tune routing by content type and risk tolerance

7

Human override

Let reviewers accept, revise, reject, or escalate

8

Audit logs

Preserve score, decision, reviewer, and final action

API request shape

Use the API tab for repeatable detection inside your product. Keep thresholds configurable and avoid making irreversible decisions from a single score.

curl -X POST "https://api.openoctopus.com/v1/moderations" \
  -H "Authorization: Bearer $OPENOCTOPUS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"openoctopus-ai-detection","input":"Paste the content to analyze here."}'

For production, store text length, language, source, score, reviewer action, appeal state, and final decision.

Trust and source note

Grammarly's AI Detector user guide documents the user-facing detector and explains that AI detection should guide review rather than serve as definitive proof.

Grammarly API FAQ

It adds AI detection and writing-analysis signals to review workflows, so teams can route risky content to humans.

Build with Grammarly API

Start with sample documents in the playground, then connect API access for review queues, moderation workflows, and content quality checks.

Start with $1 credit.