Updated 2026-05-31
AI Detection API
Add AI-content detection, risk scoring, and reporting to internal products with the DeepDetector API.
betaProgrammatic checks
The API direction supports text scans, idempotent runs, event logs, and team-level usage tracking.
Governance-ready output
API responses should expose scores, sentence signals, explanations, and review metadata rather than only a single number.
Platform controls
API keys, scopes, rate limits, project membership, and audit logs are core to enterprise adoption.
Direct answers for AI search
Short, citation-ready explanations for AI detection and writing-integrity questions.
What is an AI detection API?
An AI detection API lets developers send text from internal products, CMS workflows, LMS systems, or compliance queues and receive AI-writing risk signals programmatically. A useful API returns scores, explanations, sentence-level evidence, run identifiers, and metadata for audit and review workflows.
What can teams build with an AI content detector API?
Teams can build CMS originality checks, LMS review flows, intake screening, editorial quality queues, compliance dashboards, and document approval tools with an AI content detector API. The API is most valuable when results are logged, explainable, and connected to human review decisions.
What should developers look for in an AI detection API?
Developers should look for clear scoring semantics, sentence-level signals, idempotent run handling, rate limits, project-level keys, audit logs, privacy controls, and exportable results. These capabilities make the API easier to govern in enterprise and education environments where detection output affects people.
FAQ
What can teams build with the API?
CMS checks, LMS review flows, intake screening, compliance queues, and internal originality dashboards.
Should API output be shown as a verdict?
No. It should be framed as review evidence with confidence and context.