{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_winston","slug":"winston","name":"Winston","type":"product","url":"https://gowinston.ai","page_url":"https://unfragile.ai/winston","categories":["automation"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_winston__cap_0","uri":"capability://safety.moderation.statistical.ai.generated.text.detection.via.language.model.fingerprinting","name":"statistical ai-generated text detection via language model fingerprinting","description":"Analyzes submitted text using statistical models trained to identify patterns characteristic of AI language models (token probability distributions, n-gram anomalies, perplexity signatures). The system likely employs ensemble methods comparing input text against baseline human writing patterns and known LLM output signatures to assign a confidence score for AI generation likelihood. Detection operates on the principle that LLMs produce measurably different statistical distributions than human writers, though this approach degrades against adversarially fine-tuned or paraphrased content.","intents":["I need to quickly screen student submissions to flag likely AI-generated essays before manual review","I want to verify whether a piece of content was written by a human or generated by ChatGPT/Claude","I need a lightweight first-pass filter for content moderation without deploying custom ML infrastructure"],"best_for":["Educators conducting bulk screening of assignments in learning management systems","Content moderators at small-to-medium organizations needing rapid triage","Individual users spot-checking suspicious content without technical ML expertise"],"limitations":["Detection accuracy degrades significantly against paraphrased, edited, or adversarially fine-tuned AI content — no published accuracy metrics against state-of-the-art models","Cannot distinguish between human-written text and AI-generated text that has been heavily edited or rewritten by humans","No capability to detect AI content in non-English languages or specialized technical domains with limited training data","False positive rate unknown — may flag legitimate human writing with unusual statistical properties (non-native speakers, creative writing, technical documentation)"],"requires":["Plain text input (no file parsing infrastructure mentioned)","Internet connection for API calls to detection backend","No authentication or API key management documented — likely browser-based submission"],"input_types":["plain text","pasted content from documents"],"output_types":["confidence score (likely 0-100 or percentage)","binary classification (AI-generated vs human)","brief explanation or flagging rationale"],"categories":["safety-moderation","content-authentication"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_winston__cap_1","uri":"capability://automation.workflow.batch.text.submission.processing.with.asynchronous.detection.queuing","name":"batch text submission processing with asynchronous detection queuing","description":"Accepts multiple text submissions (likely through a web form or API endpoint) and processes them through a queuing system that distributes detection workload asynchronously. The system likely batches requests to optimize backend resource utilization, returning results either immediately for small submissions or via callback/polling for larger batches. This architecture enables the freemium model by controlling compute costs through request throttling and rate limiting.","intents":["I want to upload 50 student essays at once and get a report of which ones are likely AI-generated","I need to integrate AI detection into my content moderation workflow without blocking on individual API calls","I want to check multiple text snippets without submitting them one-by-one through a web interface"],"best_for":["Educators with large class sizes needing bulk screening capabilities","Content platforms integrating detection as a background moderation step","Teams with moderate API usage (freemium tier) who need batch efficiency without enterprise licensing"],"limitations":["Batch processing latency unknown — may introduce delays for time-sensitive moderation workflows","No documented rate limiting or quota management for freemium users — unclear if batch submissions are throttled","No mention of result persistence or historical tracking — results may not be retrievable after session ends","Batch size limits not documented — unclear if there's a maximum number of submissions per batch"],"requires":["Web browser or HTTP client capable of form submission or API requests","Plain text content (no file upload parsing mentioned)","Internet connectivity to Winston backend"],"input_types":["multiple plain text submissions","form-based text input"],"output_types":["batch results report (format unknown — likely JSON or CSV)","per-submission detection scores and classifications"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_winston__cap_2","uri":"capability://safety.moderation.confidence.scoring.and.explainability.output.for.detection.results","name":"confidence scoring and explainability output for detection results","description":"Generates a numerical confidence score (likely 0-100 or 0-1 scale) indicating the probability that submitted text was AI-generated, potentially accompanied by brief explanatory text highlighting which linguistic patterns triggered the detection. The scoring mechanism likely aggregates multiple statistical signals (perplexity, token probability, n-gram patterns) into a single interpretable metric. Explainability is minimal based on editorial feedback, suggesting the system prioritizes simplicity over detailed reasoning.","intents":["I want to know not just whether content is AI-generated, but how confident the system is in that determination","I need to explain to a student why their submission was flagged as potentially AI-generated","I want to set a custom threshold for what confidence level triggers manual review in my workflow"],"best_for":["Educators who need to justify flagging decisions to students and parents","Content moderators building custom workflows with configurable detection thresholds","Organizations requiring audit trails showing detection confidence for compliance purposes"],"limitations":["Explainability is minimal — no detailed breakdown of which linguistic features contributed to the score","No documented confidence calibration — unclear if a 75% score means 75% of similar texts are actually AI-generated (proper calibration) or if it's an arbitrary model output","Confidence scores may not be comparable across different submission types (short vs. long text, different domains)","No uncertainty quantification — single point estimate without confidence intervals or Bayesian credibility bounds"],"requires":["Text submission through Winston interface","No special configuration needed — scores generated automatically"],"input_types":["plain text"],"output_types":["numerical confidence score (0-100 or 0-1)","brief textual explanation (if provided)","binary classification label (AI-generated or human)"],"categories":["safety-moderation","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_winston__cap_3","uri":"capability://automation.workflow.freemium.access.control.with.usage.based.tier.differentiation","name":"freemium access control with usage-based tier differentiation","description":"Implements a freemium business model that allows unauthenticated or minimally-authenticated users to submit text for detection with rate limiting and feature restrictions, while paid tiers unlock higher quotas, batch processing, API access, or advanced features. The system likely tracks usage per IP address or session for free users and per account for paid users, enforcing soft limits (throttling) or hard limits (rejection) when quotas are exceeded. This architecture enables low-friction user acquisition while monetizing power users and organizations.","intents":["I want to test whether Winston works for my use case without paying upfront or creating an account","I need unlimited detection capacity for my organization and am willing to pay for it","I want to integrate AI detection into my platform via API and need predictable, scalable access"],"best_for":["Individual educators and students trying the tool for the first time","Small organizations with modest detection volume (under 100 submissions/month)","Enterprises requiring SLA-backed API access with guaranteed uptime and throughput"],"limitations":["Free tier quotas not documented — unclear how many submissions are allowed per day/month","No published pricing for paid tiers — cost comparison with alternatives impossible","Rate limiting strategy unknown — unclear if free users experience throttling or hard rejection when quota exceeded","No mention of API tier features — unclear what additional capabilities paid API access provides beyond web interface","Account creation requirements for paid tiers unknown — may require email verification, payment method, or identity verification"],"requires":["Web browser for free tier access (no authentication mentioned)","Email address and payment method for paid tier enrollment","API key for programmatic access (if available in paid tiers)"],"input_types":["text submissions through web interface","API requests (if paid tier supports it)"],"output_types":["detection results","usage statistics and quota information","API credentials (if applicable)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_winston__cap_4","uri":"capability://automation.workflow.web.based.user.interface.for.single.submission.detection","name":"web-based user interface for single-submission detection","description":"Provides a simple, no-setup-required web interface (likely a text input form) where users paste or type content and receive immediate detection results. The interface abstracts away all technical complexity — no authentication, configuration, or API knowledge required. This design prioritizes accessibility and speed over advanced features, enabling non-technical users (educators, students) to verify content authenticity in seconds without leaving their browser.","intents":["I want to quickly check if a piece of text is AI-generated without installing software or learning an API","I need to verify a student's submission right now during office hours","I want to spot-check a few suspicious pieces of content without committing to a paid service"],"best_for":["Individual educators and students with minimal technical expertise","Ad-hoc, low-volume detection use cases (1-10 submissions per week)","Users who value simplicity and speed over advanced features or integrations"],"limitations":["Single-submission workflow — no batch processing through the web UI (batch may require API or separate interface)","No result persistence — detection results likely not saved or retrievable after session ends","No integration with external tools — results cannot be automatically exported to LMS, email, or document systems","No customization options — detection threshold, language, or domain cannot be adjusted","Mobile experience unknown — unclear if interface is responsive or optimized for phone/tablet submission"],"requires":["Web browser (modern, JavaScript-enabled)","Internet connection","No account creation or authentication"],"input_types":["plain text pasted into form field","typed text directly into interface"],"output_types":["detection result displayed in browser","confidence score","brief explanation (if provided)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":37,"verified":false,"data_access_risk":"high","permissions":["Plain text input (no file parsing infrastructure mentioned)","Internet connection for API calls to detection backend","No authentication or API key management documented — likely browser-based submission","Web browser or HTTP client capable of form submission or API requests","Plain text content (no file upload parsing mentioned)","Internet connectivity to Winston backend","Text submission through Winston interface","No special configuration needed — scores generated automatically","Web browser for free tier access (no authentication mentioned)","Email address and payment method for paid tier enrollment"],"failure_modes":["Detection accuracy degrades significantly against paraphrased, edited, or adversarially fine-tuned AI content — no published accuracy metrics against state-of-the-art models","Cannot distinguish between human-written text and AI-generated text that has been heavily edited or rewritten by humans","No capability to detect AI content in non-English languages or specialized technical domains with limited training data","False positive rate unknown — may flag legitimate human writing with unusual statistical properties (non-native speakers, creative writing, technical documentation)","Batch processing latency unknown — may introduce delays for time-sensitive moderation workflows","No documented rate limiting or quota management for freemium users — unclear if batch submissions are throttled","No mention of result persistence or historical tracking — results may not be retrievable after session ends","Batch size limits not documented — unclear if there's a maximum number of submissions per batch","Explainability is minimal — no detailed breakdown of which linguistic features contributed to the score","No documented confidence calibration — unclear if a 75% score means 75% of similar texts are actually AI-generated (proper calibration) or if it's an arbitrary model output","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.2833333333333333,"quality":0.63,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:34.117Z","last_scraped_at":"2026-04-05T13:23:42.562Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=winston","compare_url":"https://unfragile.ai/compare?artifact=winston"}},"signature":"5IcWgoZyJAEwWEVWKAS0ITBPFGCW1fEbdk+xY0lyHqCxXrN28EyGO3jNBt4P8tJYJLCUU8GW5vPQjQgOgcYNCQ==","signedAt":"2026-06-22T07:54:25.405Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/winston","artifact":"https://unfragile.ai/winston","verify":"https://unfragile.ai/api/v1/verify?slug=winston","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}