Diagnostic instruments
Eight tools for specific questions about content authenticity, authorship, and ecosystem health. Each ships with explicit limitations and per-tool disclosure.
Statistical signature analysis for a single document. Returns a calibrated IMS_text score with 95% confidence interval and one of four verbal labels. Each Certificate is cryptographically signed and reproducible from the published text.
Best for
Not for
Stylometric similarity comparison between two writing samples. Returns a similarity score from 0 to 100 with breakdown across stylometric axes including sentence rhythm, function word usage, and lexical diversity patterns.
Best for
Not for
Quick structural check for AI-generated patterns in a single text. Composite of four lightweight features. Returns AI-likelihood as percentage with verbal label.
Best for
Not for
Stylometric similarity for code samples. Compares two code snippets across naming conventions, indentation patterns, comment density, function structure, and language idiom usage. Supports Python, JavaScript, and TypeScript at launch.
Best for
Not for
Detects structural patterns associated with low-content prose: hedging stacks, vague quantifiers, evasive language, buzzword density, AI-shaped phrase patterns. Marks text with category breakdown.
Best for
Not for
Stream-level analysis of synthetic content prevalence. Submit a Reddit thread, YouTube comments section, or Hacker News thread URL. Returns ecosystem-level score with sample-based confidence.
Best for
Not for
A demonstration tool. Submit a text. The tool runs three different LLM rewriting prompts and shows the IMS_text score for original versus rewritten variants. Visualizes the typical pattern: AI processing tends to push texts toward higher Synthetic scores.
Best for
Not for
Answer Engine Optimization assessment. Free tier analyzes page structure (Schema.org markup, heading hierarchy, FAQ patterns, citation density). Paid tier additionally queries ChatGPT, Claude, and Perplexity to measure actual citation patterns for the page.
Best for
Not for
Builds a structural similarity tree across a stream of content. Uses NCD compression distance and neighbor-joining algorithm to visualize authorship clustering patterns. Reticulation index detects recombinant structure.
Best for
Not for
Single-document
Writing DNA, AI Text Checker, Code DNA, BS Meter, AI Flattener, Death Certificate.
Single-page
AEO Checker.
Stream-level
Dead Internet Index, Phylogeny.
The Death Certificate is the flagship per-document tool with full methodology depth and 95% confidence intervals. The seven mini-tools provide quicker, focused diagnostic signals. Phylogeny provides advanced structural analysis for streams.
For deepest analysis: Death Certificate. For specific questions: matching mini-tool. For ecosystem health: Dead Internet Index plus weekly Pulse.
Yes. Each tool provides immediate results. Death Certificate processing takes 30-60 seconds due to comprehensive analysis. Other tools return results in under 5 seconds.
English only at v1.0. Tools reject non-English input with suggested alternatives. Multilingual support is on the Year 1 roadmap conditional on Phase 0 validation success.
Yes, with a Pro subscription or Scale tier. Free tier is web-only. API documentation appears on /docs after Pro signup.
Yes. Each result has a permanent URL with reproducibility hash. Death Certificate results are cryptographically signed via Ed25519.
Cert is the comprehensive analysis: four-feature pipeline, bootstrap confidence intervals, methodology disclosure, cryptographic signature. Latency 30-60 seconds. Diagnostic quality. AI Text Checker is the lightweight first-pass: four-feature composite without LLM inference, no confidence intervals, no signature. Latency under 2 seconds. Quick utility. Different use cases. Both share the same underlying methodology direction.