{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_how-much-for-site","slug":"how-much-for-site","name":"How Much For Site?","type":"webapp","url":"https://howmuchfor.site","page_url":"https://unfragile.ai/how-much-for-site","categories":["data-analysis"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_how-much-for-site__cap_0","uri":"capability://data.processing.analysis.multi.method.website.valuation.analysis","name":"multi-method website valuation analysis","description":"Analyzes submitted website URLs using multiple independent valuation methodologies (revenue multiple models, traffic-based approaches, comparable site benchmarking) and synthesizes results into a consolidated estimate. The system likely ingests domain metadata, traffic signals, and revenue indicators through web scraping or third-party data APIs, then applies weighted algorithmic models to produce valuation ranges rather than point estimates.","intents":["I need a quick ballpark figure for what my website might be worth before pitching to investors","I'm evaluating an acquisition target and need preliminary valuation data to inform negotiation strategy","I want to understand how different valuation approaches (traffic-based vs revenue-based) value my digital asset differently"],"best_for":["indie hackers and solo founders seeking rough asset valuations for personal reference","small business owners preparing for M&A discussions who need preliminary estimates before hiring appraisers","content creators and digital entrepreneurs understanding their portfolio's worth"],"limitations":["AI-generated valuations lack regulatory credibility of licensed appraisers and may deviate significantly for niche, high-margin, or revenue-driven sites","Methodology weighting and data source prioritization are opaque to users, preventing validation of estimate accuracy","Cannot account for intangible factors (brand equity, founder reputation, proprietary technology) that professional appraisers evaluate","Relies on publicly available traffic and domain data which may be incomplete, outdated, or inaccurate for private sites"],"requires":["Valid website URL with publicly accessible domain metadata","Website must have sufficient traffic or revenue signals detectable by data aggregators (Similarweb, Ahrefs, etc.)","No authentication or API keys required from user"],"input_types":["website URL (string)"],"output_types":["structured valuation estimate (numeric range with currency)","breakdown by valuation methodology (text + numeric)","confidence indicators or uncertainty ranges"],"categories":["data-processing-analysis","valuation-estimation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_how-much-for-site__cap_1","uri":"capability://data.processing.analysis.zero.friction.website.url.ingestion.and.metadata.extraction","name":"zero-friction website url ingestion and metadata extraction","description":"Accepts website URLs without requiring signup, authentication, or API keys, then automatically extracts domain metadata (age, registrar, SSL status), traffic signals (estimated monthly visitors, traffic sources), and revenue indicators (monetization type, estimated earnings) through integration with public data APIs and web scraping. The system normalizes and validates input URLs before querying external data sources, handling edge cases like subdomains, redirects, and non-standard TLDs.","intents":["I want to quickly check a website's value without creating an account or providing personal information","I need to extract key metrics about a domain (traffic, age, monetization) as input to valuation models","I'm evaluating multiple sites and need a frictionless way to batch-analyze them"],"best_for":["users prioritizing privacy and speed over detailed account-based features","rapid due diligence workflows where signup friction would block decision-making","exploratory analysis where users want to test multiple sites before committing"],"limitations":["No persistent storage of valuation history — each analysis is ephemeral unless user manually records results","Cannot access private traffic analytics or revenue data; relies entirely on public signals which may be incomplete","Rate limiting likely enforced to prevent abuse, limiting batch analysis throughput","URL validation may fail for sites with unusual structures, paywalls, or bot-blocking mechanisms"],"requires":["Valid, publicly accessible website URL","Website must be indexed by major search engines and traffic aggregators","No user authentication or API credentials needed"],"input_types":["website URL (string, HTTP/HTTPS)"],"output_types":["domain metadata (JSON: age, registrar, SSL cert status)","traffic estimates (JSON: monthly visitors, traffic sources, geographic distribution)","monetization indicators (JSON: ad networks, affiliate programs, subscription signals)"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_how-much-for-site__cap_2","uri":"capability://data.processing.analysis.traffic.based.valuation.modeling.with.public.data.integration","name":"traffic-based valuation modeling with public data integration","description":"Estimates website value using traffic volume as a primary input signal, integrating with third-party traffic estimation APIs (likely Similarweb, Ahrefs, or SemRush) to retrieve monthly visitor counts, then applies industry-standard traffic-to-value multipliers (e.g., $1-5 per monthly visitor depending on niche) to produce valuation estimates. The model accounts for traffic quality signals (geographic distribution, device type, bounce rate) when available, adjusting multipliers for high-quality vs low-quality traffic sources.","intents":["I want to value my website based on its traffic volume without needing detailed revenue data","I need to understand how traffic metrics translate to monetary value in my niche","I'm comparing traffic-based vs revenue-based valuations to see which methodology is more favorable for my site"],"best_for":["content-driven sites (blogs, news, SaaS landing pages) where traffic is the primary monetization lever","sites with public traffic data but limited transparent revenue reporting","quick preliminary valuations where detailed financial audits aren't available"],"limitations":["Assumes linear relationship between traffic and value, which breaks down for high-margin, low-traffic sites (e.g., B2B SaaS with 1000 visitors/month but $100k MRR)","Traffic estimates from public APIs are often inaccurate by 20-50%, especially for niche or low-traffic sites","Does not account for traffic quality differences (e.g., high-intent B2B traffic vs low-intent content discovery traffic)","Multipliers are generic industry averages and don't reflect site-specific factors like brand strength or competitive moat"],"requires":["Website must have sufficient public traffic data available from Similarweb, Ahrefs, or equivalent","Minimum ~1000 monthly visitors for reliable traffic estimates"],"input_types":["website URL (string)"],"output_types":["traffic-based valuation estimate (numeric range with currency)","traffic volume breakdown (monthly visitors, traffic sources)","multiplier applied (numeric, e.g., $2.50 per visitor)"],"categories":["data-processing-analysis","financial-estimation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_how-much-for-site__cap_3","uri":"capability://data.processing.analysis.revenue.multiple.valuation.methodology.with.industry.benchmarking","name":"revenue-multiple valuation methodology with industry benchmarking","description":"Values websites using standard SaaS/digital asset revenue multiples (typically 2-5x annual revenue depending on growth rate and niche), inferring revenue from monetization signals (ad networks, affiliate programs, subscription indicators) and applying industry-specific multipliers. The system likely maintains a database of comparable site sales and revenue multiples by category (SaaS, content, e-commerce, etc.), then selects appropriate multipliers based on detected site type and growth characteristics.","intents":["I want to value my website based on its revenue or estimated earnings rather than traffic volume","I need to understand what multiple of revenue my site might command in an acquisition","I'm comparing my valuation against industry benchmarks for similar sites"],"best_for":["revenue-generating sites (SaaS, e-commerce, subscription content) where earnings are the primary value driver","sites with transparent monetization (subscription revenue, affiliate disclosures, ad network visibility)","acquisition scenarios where revenue multiples are the standard valuation framework"],"limitations":["Requires detectable revenue signals; sites with opaque monetization (private affiliate programs, direct sponsorships) will produce inaccurate estimates","Revenue multiples vary dramatically by growth rate, churn, and market conditions; generic multipliers may be off by 50-200%","Cannot detect revenue from non-standard sources (consulting, services, licensing) that don't leave digital footprints","Assumes revenue is sustainable and repeatable, which may not hold for one-time deals or declining revenue sites"],"requires":["Website must have detectable monetization signals (ad networks, affiliate links, subscription pages, etc.)","Ideally some public revenue data or earnings disclosures"],"input_types":["website URL (string)"],"output_types":["revenue-based valuation estimate (numeric range with currency)","inferred annual revenue (numeric estimate with confidence range)","revenue multiple applied (numeric, e.g., 3.5x annual revenue)","comparable benchmarks (list of similar sites and their multiples)"],"categories":["data-processing-analysis","financial-estimation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_how-much-for-site__cap_4","uri":"capability://data.processing.analysis.comparable.site.benchmarking.and.market.analysis","name":"comparable site benchmarking and market analysis","description":"Identifies comparable websites in the same category/niche and retrieves historical sale prices, current valuations, and revenue multiples from public marketplaces (Flippa, Empire Flippers, Sedo) and disclosed acquisitions. The system clusters sites by category, traffic range, and revenue profile, then uses median/mean valuations of comparable peers to triangulate a valuation range. This approach provides market-based validation of AI-generated estimates and surfaces outliers where a site is significantly over/undervalued relative to peers.","intents":["I want to see how my website compares in value to similar sites that have recently sold","I need market data on what buyers are actually paying for sites like mine","I'm trying to validate whether the AI valuation is reasonable by comparing against real-world comparable sales"],"best_for":["sites in popular categories (blogs, SaaS, e-commerce) where comparable sales data is abundant","users who want market-based validation of AI estimates rather than purely algorithmic valuations","acquisition scenarios where comparable sales are the primary negotiation reference point"],"limitations":["Comparable data is sparse for niche categories; may only find 2-3 comparable sales vs 20+ for popular categories","Historical sale prices are often not publicly disclosed; only marketplace listings and estimated valuations are available","Market conditions change rapidly; a comparable sale from 12 months ago may not reflect current valuations","Survivorship bias: only successful sales are recorded; failed listings and sites that didn't sell are invisible","Comparable sites may have different growth trajectories, churn rates, or customer quality that aren't reflected in price alone"],"requires":["Website must be in a category with sufficient public comparable sales data","Access to Flippa, Empire Flippers, Sedo, or similar marketplace APIs for historical sale data"],"input_types":["website URL (string)"],"output_types":["list of comparable sites (JSON: URL, category, traffic, revenue, sale price, date)","comparable valuation range (numeric range with currency)","percentile ranking (e.g., 'top 25% of comparable sites by valuation')","market trend analysis (text: whether comparable sites are trending up/down in value)"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_how-much-for-site__cap_5","uri":"capability://data.processing.analysis.domain.age.and.authority.signal.extraction","name":"domain age and authority signal extraction","description":"Extracts domain registration age, historical WHOIS data, SSL certificate status, and domain authority metrics (Moz DA, Ahrefs DR, Majestic TF) from public registries and SEO data APIs. These signals are used as inputs to valuation models (older domains command premiums, high authority indicates established traffic and backlink profile) and as confidence indicators (very new domains have higher valuation uncertainty). The system likely queries WHOIS registries, Internet Archive Wayback Machine for historical snapshots, and SEO tool APIs for authority scores.","intents":["I want to understand how old my domain is and whether that affects its valuation","I need to assess the domain authority and backlink profile as part of valuation due diligence","I'm checking whether a domain has a clean history or red flags (frequent ownership changes, spam history)"],"best_for":["users evaluating domain quality and historical legitimacy as part of acquisition due diligence","SEO-focused valuations where domain authority and backlink profile are primary value drivers","identifying potential red flags (recently registered domains, frequent ownership transfers, spam history)"],"limitations":["WHOIS data is often redacted or inaccurate due to privacy registrars; historical ownership may be unverifiable","Domain authority scores are proprietary metrics from SEO tools and may not correlate with actual traffic or value","Wayback Machine snapshots may be incomplete or missing for private/paywalled sites","Cannot detect spam history or manual penalties that don't leave public traces","Domain age premium is assumed but may not apply to recently acquired premium domains with strong growth"],"requires":["Domain must be registered and have public WHOIS records (or use privacy registrar with some data available)","Domain should have some historical presence in Internet Archive for authority assessment"],"input_types":["website URL (string)"],"output_types":["domain age (numeric: years since registration)","domain authority scores (JSON: Moz DA, Ahrefs DR, Majestic TF)","WHOIS history (JSON: registration date, registrar, historical ownership changes)","SSL certificate status (boolean + certificate details)","historical snapshots (list of Wayback Machine URLs and dates)"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_how-much-for-site__cap_6","uri":"capability://data.processing.analysis.monetization.type.detection.and.revenue.signal.inference","name":"monetization type detection and revenue signal inference","description":"Analyzes website content and structure to detect monetization mechanisms (Google AdSense, affiliate links, subscription paywalls, e-commerce, SaaS pricing pages) through pattern matching on HTML/CSS selectors, ad network script tags, and payment processor integrations. The system infers revenue potential by counting ad placements, affiliate link density, subscription pricing tiers, and e-commerce transaction volume, then uses these signals to estimate annual revenue. This enables revenue-based valuation even when actual earnings aren't publicly disclosed.","intents":["I want to understand how a website makes money without needing to see their financial statements","I need to estimate revenue potential based on visible monetization mechanisms (ads, affiliates, subscriptions)","I'm comparing different monetization strategies to see which generates the most value"],"best_for":["content sites and blogs with transparent ad/affiliate monetization","SaaS and subscription sites with public pricing pages","e-commerce sites with visible product catalogs and pricing","sites where actual revenue is private but monetization mechanisms are visible"],"limitations":["Cannot detect revenue from non-visible sources (private sponsorships, consulting, licensing, affiliate programs without visible links)","Ad revenue estimates are highly variable based on traffic quality, niche, and seasonal factors; estimates may be off by 50-300%","Subscription revenue inference assumes all pricing tiers are equally popular; actual revenue distribution is unknown","E-commerce revenue estimates require traffic data to estimate conversion rates; without traffic, estimates are unreliable","Does not account for cost of goods sold, operational expenses, or profit margins; estimates gross revenue only"],"requires":["Website must have publicly visible monetization mechanisms (ads, affiliate links, pricing pages, etc.)","HTML/CSS must be accessible for pattern matching (no JavaScript-rendered content that requires headless browser)"],"input_types":["website URL (string)"],"output_types":["detected monetization types (list: 'Google AdSense', 'Amazon Affiliates', 'Subscription', 'E-commerce', etc.)","monetization density metrics (JSON: ad placements per page, affiliate link density, pricing tiers)","inferred revenue potential (numeric estimate with confidence range)","revenue breakdown by source (JSON: estimated % from ads, affiliates, subscriptions, e-commerce)"],"categories":["data-processing-analysis","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_how-much-for-site__cap_7","uri":"capability://data.processing.analysis.valuation.confidence.scoring.and.uncertainty.quantification","name":"valuation confidence scoring and uncertainty quantification","description":"Generates confidence scores for each valuation estimate based on data completeness and signal quality. Factors include: availability of traffic data (high confidence if from multiple sources, low if estimated), revenue signal visibility (high if transparent, low if inferred), domain age and authority (high confidence for established domains, low for new domains), and comparable data availability (high if 10+ comparables, low if <3). The system produces a confidence range (e.g., '±25%') and flags high-uncertainty scenarios (new domains, niche categories, sparse comparable data) to prevent overconfidence in unreliable estimates.","intents":["I want to know how confident the AI is in its valuation estimate before using it for negotiation","I need to understand which factors are driving uncertainty in the valuation","I'm deciding whether to trust this estimate or hire a professional appraiser based on confidence level"],"best_for":["users making high-stakes decisions (acquisition, investment) who need to understand estimate reliability","due diligence workflows where confidence scoring helps prioritize which sites need professional appraisals","risk-averse buyers who want to avoid overpaying for sites with uncertain valuations"],"limitations":["Confidence scoring is heuristic-based and may not reflect true statistical uncertainty","Does not account for unknown unknowns (e.g., pending algorithm changes, market disruptions) that could invalidate estimates","High confidence scores can create false sense of security; even high-confidence estimates may be significantly wrong","Confidence is relative to data availability, not absolute accuracy; a high-confidence estimate could still be 50% off"],"requires":["Multiple data sources (traffic, revenue, comparable data) for meaningful confidence scoring"],"input_types":["website URL (string)"],"output_types":["confidence score (numeric: 0-100%)","uncertainty range (numeric: ±X%)","confidence breakdown by factor (JSON: traffic confidence, revenue confidence, comparable confidence)","risk flags (list: 'new domain', 'sparse comparables', 'niche category', 'inferred revenue')"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_how-much-for-site__cap_8","uri":"capability://text.generation.language.instant.valuation.report.generation.with.multi.method.synthesis","name":"instant valuation report generation with multi-method synthesis","description":"Synthesizes results from traffic-based, revenue-based, and comparable-based valuation models into a single consolidated report that presents all three estimates alongside confidence scores, methodology explanations, and key value drivers. The report is generated instantly (likely <5 seconds) without requiring user signup or email submission, and can be viewed in-browser or exported as PDF. The synthesis logic likely uses a weighted average or range-based approach to combine estimates, with weights adjusted based on confidence scores.","intents":["I want a complete valuation analysis in one place without having to manually combine multiple tools","I need to present valuation data to investors or acquisition partners in a professional format","I want to understand how different valuation methods compare and which is most reliable for my site"],"best_for":["rapid decision-making scenarios where users need valuation data immediately","preliminary due diligence where a quick estimate is sufficient before hiring appraisers","investor pitch preparation where a professional-looking valuation report adds credibility"],"limitations":["Instant generation means limited depth; report lacks detailed methodology explanations that professional appraisals provide","No persistent storage; users must manually save/export reports or lose the analysis","Report is not legally defensible or suitable for formal M&A transactions; intended for preliminary reference only","Synthesis logic (how three estimates are combined) is opaque to users, preventing validation of final number"],"requires":["Website URL must be analyzable by all three valuation methods (traffic, revenue, comparables)","No user authentication required"],"input_types":["website URL (string)"],"output_types":["HTML report (in-browser display)","PDF export (downloadable report)","JSON data export (structured data for further analysis)"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"high","permissions":["Valid website URL with publicly accessible domain metadata","Website must have sufficient traffic or revenue signals detectable by data aggregators (Similarweb, Ahrefs, etc.)","No authentication or API keys required from user","Valid, publicly accessible website URL","Website must be indexed by major search engines and traffic aggregators","No user authentication or API credentials needed","Website must have sufficient public traffic data available from Similarweb, Ahrefs, or equivalent","Minimum ~1000 monthly visitors for reliable traffic estimates","Website must have detectable monetization signals (ad networks, affiliate links, subscription pages, etc.)","Ideally some public revenue data or earnings disclosures"],"failure_modes":["AI-generated valuations lack regulatory credibility of licensed appraisers and may deviate significantly for niche, high-margin, or revenue-driven sites","Methodology weighting and data source prioritization are opaque to users, preventing validation of estimate accuracy","Cannot account for intangible factors (brand equity, founder reputation, proprietary technology) that professional appraisers evaluate","Relies on publicly available traffic and domain data which may be incomplete, outdated, or inaccurate for private sites","No persistent storage of valuation history — each analysis is ephemeral unless user manually records results","Cannot access private traffic analytics or revenue data; relies entirely on public signals which may be incomplete","Rate limiting likely enforced to prevent abuse, limiting batch analysis throughput","URL validation may fail for sites with unusual structures, paywalls, or bot-blocking mechanisms","Assumes linear relationship between traffic and value, which breaks down for high-margin, low-traffic sites (e.g., B2B SaaS with 1000 visitors/month but $100k MRR)","Traffic estimates from public APIs are often inaccurate by 20-50%, especially for niche or low-traffic sites","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.67,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.9,"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":"2026-05-24T12:16:31.445Z","last_scraped_at":"2026-04-05T13:23:42.560Z","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=how-much-for-site","compare_url":"https://unfragile.ai/compare?artifact=how-much-for-site"}},"signature":"G8iXy506frsKpom1BU2CxSc7hto0M5InRogEAziImPDhzLLL3VWBgeBJlPOYNbszUDdMz0bpWUSs8VnWYbYtAQ==","signedAt":"2026-06-15T18:21:04.043Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/how-much-for-site","artifact":"https://unfragile.ai/how-much-for-site","verify":"https://unfragile.ai/api/v1/verify?slug=how-much-for-site","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"}}