API and enterprise
Add AI-content detection, originality-risk scoring, sentence evidence, and run history to your product or internal review system.
Updated 2026-05-31
Short, citation-ready explanations for common AI detection and writing-integrity questions.
An AI content detector API lets a product or internal system submit text for AI-writing review and receive structured originality-risk evidence. WriteGo's API direction emphasizes scores, passage context, run tracking, and audit-friendly metadata for downstream reviewers.
Teams can integrate an AI detection API into LMS platforms, CMS workflows, editorial queues, admissions systems, marketplace moderation, HR review tools, and internal compliance processes. The best integrations show context and evidence instead of only a binary label.
AI detection API responses should include a document-level risk summary, passage or sentence evidence, confidence language, timestamps, run identifiers, and policy-ready metadata. This makes results easier to audit, appeal, explain to users, and route into review queues.
Platforms can use WriteGo to scan submissions, CMS drafts, support content, training data, or internal documents before review or publication.
Good API output should include scores, highlighted passages, explanations, confidence, timestamps, and run identifiers so downstream teams can make decisions.
Enterprise workflows need scoped API keys, rate limits, usage records, project access, and audit logs. WriteGo's product direction includes those platform controls.
Common use cases include LMS checks, CMS screening, editorial queues, admissions review, marketplace moderation, and internal compliance workflows.
No. API output should be framed as review evidence with confidence and context, especially in high-stakes decisions.
The platform direction includes API keys, run tracking, team access, projects, and usage records for enterprise workflows.