Everything DocuTect can do
From GitHub repo scan to GitHub pull request — a complete, automated pipeline for keeping your API documentation accurate and hallucination-free.
Generate integration code in 12 languages — audit-first for accuracy
Scan any GitHub repo or docs URL, select the endpoints you need, optionally run a hallucination audit to correct inaccurate docs first, then pick a language and get production-ready integration code. All in one wizard.
- Scans GitHub repos and documentation URLs for endpoints
- Optional ~2 min/endpoint audit with Claude + GPT-4.1 before generating
- 12 languages: Python, TypeScript, Go, Java, C#, React, Rust, Kotlin, Swift, PHP, Ruby, JavaScript
- Env-var safe — secrets are never hard-coded in generated output
Select programming language
POST /v1/chargesimport stripe, os
stripe.api_key = os.environ["STRIPE_SECRET_KEY"]
def create_charge(amount, currency="usd", source=None):
return stripe.Charge.create(
amount=amount,
currency=currency,
source=source,
)Connect a repo, get instant audit candidates
Point DocuTect at any public or private GitHub repository. The AI scans every file, detects API definitions and documentation, and pre-selects the highest-priority items so you're not starting from a blank slate.
- Works with any language or framework
- Pre-selects highest-impact files automatically
- Manual override — add or remove any file
Test every LLM simultaneously
Every synthetic query is fired at GPT-4.1, Claude 4 Sonnet, and Gemini 2.5 Flash at the same time. See responses side by side and instantly spot where one model fabricates and another gets it right.
- 3+ models tested in a single run
- Responses shown side by side
- Per-query scoring with judge LLM
Pass the Idempotency-Key header on POST requests. Keys expire after 24 h. Reuse the same key to safely retry failed requests…
Include Idempotency-Key: <key> in the request header. Stripe stores the result for 24 hours. You can retry with the same…
Use the idempotency_key parameter in the request body. Keys are valid for 72 hours and can be reused indefinitely…
Catch fabricated answers before your users do
A dedicated judge LLM evaluates every model response against your actual documentation. It pinpoints the exact claim that's wrong, cites the conflicting doc source, and assigns a confidence score.
- Per-claim evidence from your docs
- Judge reasoning shown in full
- Flags wrong parameters, invented endpoints, bad TTLs
Model claimed idempotency keys are passed in the request body and are valid for 72 hours. Both claims contradict the documentation.
Ship documentation fixes without leaving DocuTect
Once audits complete, the remediation engine generates concrete doc fixes. Review them in the dashboard and push directly to GitHub as a pull request — no manual copy-pasting, no leaving the browser tab.
- AI-written diff, ready to merge
- Branches named automatically
- Works with any GitHub repository
A ranked view of every model's performance
After each audit run, every model gets a score. The leaderboard ranks them by accuracy, hallucination rate, latency, and token cost — so you can pick the right model for each API and stop paying for underperformers.
- Accuracy, hallucination rate, latency, token cost
- Historical trend per model
- Filter by API, date range, or model family
Set it once, get alerts when scores drop
Configure daily, weekly, or monthly audit runs for any API or doc set. DocuTect emails you when accuracy falls below your threshold — so regressions surface before a developer files a bug about wrong docs.
- Daily, weekly, or monthly cadence
- Email alerts on score regressions
- Full audit history and trend charts
All features at a glance
Every capability included in your DocuTect subscription.
API Code Generator
Scan any GitHub repo or docs URL, select endpoints, optionally audit first, then generate production-ready integration code in 12 languages — Python, TypeScript, Go, Java, C#, React, and more.
AI-Powered GitHub Scan
Point DocuTect at any GitHub repo. AI scans your codebase, discovers API endpoints and docs, and pre-selects the highest-priority items for you.
Documentation Hub
Validate .md, .rst, and .txt documentation files for accuracy, completeness, and consistency. Browse 500+ docs from the Context Hub registry.
Batch Audits
Queue dozens of API endpoints or doc files in a single run. The 8-step wizard guides you from intake to GitHub PR in minutes.
One-Click PR Deploy
After auditing, push AI-generated remediation fixes straight back to GitHub as a pull request — no manual copy-paste required.
Synthetic Query Generation
AI generates realistic edge-case developer questions covering timeout handling, auth failures, rate limits, and more.
Multi-Model Testing
Every query is fired at GPT-4.1, Claude 4 Sonnet, and Gemini 2.5 Flash simultaneously. Compare responses side by side.
Hallucination Detection
A judge LLM evaluates every response against your documentation, flagging fabricated endpoints, wrong parameters, and invented behavior.
Scheduled Recurring Audits
Set audits to run daily, weekly, or monthly. DocuTect alerts you when scores drop — catch regressions before your users do.
Model Leaderboard
Compare accuracy scores, hallucination rates, latency, and token usage across every model in a ranked leaderboard.
Judge Reasoning
For every evaluation, see exactly why a response was scored the way it was — with specific hallucination details and missing context.
Remediation Engine
Auto-generates prioritized, actionable documentation fixes based on hallucination patterns — with concrete wording you can copy-paste.
Automated Pipeline
One click to audit. DocuTect handles query generation, multi-model interrogation, evaluation, and remediation automatically.
Ready to audit your first API?
Free tier includes 3 audits per month. No credit card required.
Get started free