{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"common-crawl","slug":"common-crawl","name":"Common Crawl","type":"dataset","url":"https://commoncrawl.org/","page_url":"https://unfragile.ai/common-crawl","categories":["model-training","data-pipelines"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"common-crawl__cap_0","uri":"capability://data.processing.analysis.petabyte.scale.monthly.web.crawl.ingestion.and.archival","name":"petabyte-scale monthly web crawl ingestion and archival","description":"Operates a distributed web crawler (CCBot) that systematically traverses 3-5 billion web pages monthly, capturing raw HTML, metadata, and response headers into WARC (Web ARChive) format files stored on AWS S3. The crawl respects robots.txt directives and maintains an opt-out registry for content exclusion. Each monthly snapshot is immutable and indexed for retrieval, creating a cumulative archive of 300+ billion pages spanning 15+ years of web history.","intents":["Access raw, unfiltered snapshots of the web from specific time periods for historical analysis","Build training datasets for language models by sourcing diverse web content at scale","Analyze web evolution and content changes over time using historical snapshots","Retrieve archived versions of pages that have been deleted or modified"],"best_for":["ML/NLP researchers building large-scale training datasets (C4, The Pile, RedPajama, FineWeb, Dolma all depend on this)","Web historians and researchers studying internet evolution","Organizations needing compliance-friendly web archives with documented crawl dates"],"limitations":["Raw WARC format requires specialized parsing tools; no built-in text extraction API","Crawl frequency is monthly, not real-time; latest data is 1-4 weeks old","Content respects robots.txt and opt-out registry, so paywalled, authenticated, or excluded sites are missing","No deduplication or quality filtering applied at crawl time; downstream processing required to remove spam, malformed HTML, and duplicates","Bias toward crawlable, English-language, and publicly indexable content; non-English and dynamic content underrepresented"],"requires":["AWS account with S3 access permissions (free tier available for initial exploration)","Understanding of WARC file format and HTTP archive standards","WARC parsing library (e.g., warcio for Python, or equivalent)","Network bandwidth for downloading multi-terabyte datasets (egress costs unknown)"],"input_types":["URL lists (for targeted retrieval via CDXJ index)","Date ranges (for historical snapshot selection)","Crawl identifiers (to select specific monthly crawl)"],"output_types":["WARC files (raw web archive format with HTTP headers, HTML, metadata)","CDXJ indices (URL-to-offset mappings for random access)","Columnar indices (structured query results)","Crawl statistics and metadata (page counts, size, coverage)"],"categories":["data-processing-analysis","web-archival"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"common-crawl__cap_1","uri":"capability://search.retrieval.cdxj.indexed.url.based.retrieval.from.web.archive","name":"cdxj-indexed url-based retrieval from web archive","description":"Provides CDXJ (Capture inDeX JSON) indices that map URLs to byte offsets within WARC files, enabling direct random access to specific pages without scanning entire archives. Queries specify a URL and optional date range, returning matching captures with metadata (HTTP status, content type, timestamp). This index layer abstracts away WARC file complexity and enables efficient lookup of historical versions of individual pages.","intents":["Retrieve a specific page's content from a particular crawl date without downloading entire WARC files","Find all historical versions of a URL across the 15-year archive","Verify if a page existed and what its HTTP status was on a given date","Build URL-to-content mappings for deduplication or linkage analysis"],"best_for":["Researchers studying specific websites or domains over time","Data engineers building incremental extraction pipelines (query by URL, fetch only changed pages)","Web archivists and historians tracking individual page evolution"],"limitations":["CDXJ query syntax and API endpoint details not documented in provided materials; requires reverse-engineering or community documentation","Index lookups return metadata and offsets, not content directly; must still parse WARC files to extract actual page data","No full-text search across page content; URL-based queries only","Date range queries may return hundreds of captures per URL, requiring client-side filtering"],"requires":["Understanding of CDXJ format and query syntax (documentation location unknown)","HTTP client for querying index API (curl, Python requests, etc.)","WARC parsing library to extract content from returned byte offsets","AWS S3 access to retrieve WARC files by offset"],"input_types":["URL (exact or wildcard pattern, format unknown)","Date range (ISO 8601 or Unix timestamp format, unspecified)","Crawl identifier (optional, to limit search to specific monthly crawl)"],"output_types":["CDXJ records (JSON with URL, timestamp, HTTP status, content-type, byte offset)","Metadata about captures (count, date range, status codes)"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"common-crawl__cap_10","uri":"capability://automation.workflow.infrastructure.status.monitoring.and.errata.tracking","name":"infrastructure status monitoring and errata tracking","description":"Publishes infrastructure status updates, known issues, and errata for crawls through a public status page and mailing list. Issues are documented with affected crawls, impact assessment, and workarounds. Status monitoring includes S3 availability, index health, and crawl progress. Errata tracking enables users to identify and work around data quality issues in specific crawls.","intents":["Monitor Common Crawl infrastructure health and availability","Identify known issues or data quality problems in specific crawls before using them","Subscribe to updates about new crawls, maintenance windows, and infrastructure changes","Report bugs or data quality issues to the Common Crawl team"],"best_for":["Data engineers building production pipelines that depend on Common Crawl availability","Researchers requiring high-quality data and wanting to avoid problematic crawls","Organizations needing visibility into infrastructure health and planned maintenance"],"limitations":["Status monitoring is informal; no SLA or uptime guarantees documented","Errata tracking is reactive; issues may not be identified until after data is published","No automated alerting or webhooks for status changes; users must manually check status page or subscribe to mailing list","Correction mechanism and re-crawl policy for problematic crawls unknown","No versioning or rollback capability; problematic crawls remain in archive"],"requires":["Access to Common Crawl status page (URL and format unknown)","Email subscription to mailing list for updates","Ability to parse status updates and errata documentation"],"input_types":["Crawl identifier (to check for known issues)","Date range (to identify affected crawls)"],"output_types":["Status updates (infrastructure health, maintenance windows)","Errata and known issues (affected crawls, impact, workarounds)","Crawl statistics and progress updates"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"common-crawl__cap_11","uri":"capability://automation.workflow.ccbot.crawler.with.configurable.crawl.parameters","name":"ccbot crawler with configurable crawl parameters","description":"Operates a distributed web crawler (CCBot) that can be configured with custom crawl parameters including politeness delays, user-agent strings, robots.txt interpretation, and domain-specific crawl budgets. The crawler respects HTTP standards and robots.txt directives, with configurable behavior for handling redirects, timeouts, and errors. Crawl parameters are documented for each monthly release, enabling reproducibility and evaluation of crawl quality.","intents":["Understand how Common Crawl crawls the web and what parameters affect coverage and quality","Evaluate crawl methodology and compare with other web crawlers","Reproduce crawl behavior for research or validation purposes","Request custom crawl parameters for specific research needs"],"best_for":["Web researchers studying crawl methodology and coverage bias","Organizations evaluating Common Crawl data quality and suitability for specific use cases","Researchers comparing different crawl strategies and their impact on dataset quality"],"limitations":["Crawl parameters are fixed per monthly release; no per-domain customization available","Custom crawl requests not documented; unclear if Common Crawl accepts custom crawl parameters","Crawl methodology may change between releases without notice or documentation","No access to real-time crawl logs or detailed crawl statistics; only aggregate statistics published","Politeness delays and robots.txt interpretation may differ from other crawlers, affecting comparability"],"requires":["Understanding of web crawling standards and HTTP protocols","Access to crawl parameter documentation for each monthly release","Ability to analyze crawl statistics and coverage metrics"],"input_types":["Crawl identifier (to retrieve parameters for specific crawl)","Optional: custom crawl parameters (if custom crawls are available)"],"output_types":["Crawl parameters (politeness delays, user-agent, robots.txt interpretation)","Crawl statistics (pages crawled, errors, coverage by domain/TLD)","Crawl logs and detailed metrics (if available)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"common-crawl__cap_2","uri":"capability://search.retrieval.columnar.indexed.structured.query.access.to.web.archive.metadata","name":"columnar-indexed structured query access to web archive metadata","description":"Provides columnar indices (format and query syntax unspecified in documentation) that enable structured queries across archive metadata without parsing WARC files. Queries can filter by domain, content-type, HTTP status, crawl date, and other fields, returning matching page metadata and offsets. This approach trades random-access flexibility for efficient bulk filtering and aggregation across billions of pages.","intents":["Find all pages of a specific content-type (e.g., PDF, JSON) across a crawl","Identify pages with specific HTTP status codes (404, 200, 301) for broken-link analysis","Filter pages by domain or subdomain to extract site-specific subsets","Aggregate statistics (page counts, content-type distribution) across crawls"],"best_for":["Data engineers building large-scale extraction pipelines with complex filtering logic","Researchers analyzing web structure and content distribution patterns","Teams deduplicating content across multiple crawls using metadata signatures"],"limitations":["Columnar index query language, API endpoint, and supported filter fields not documented; requires community reverse-engineering or direct contact with Common Crawl team","No full-text search capability; metadata-only queries","Query performance and result limits unknown; may require pagination for large result sets","Index update frequency and lag behind raw WARC availability unknown"],"requires":["Documentation of columnar index schema and query syntax (not provided)","HTTP client or SDK for submitting structured queries","Understanding of metadata field names and value formats","AWS S3 access to retrieve WARC files by returned offsets"],"input_types":["Structured filter expressions (field=value pairs, operators unknown)","Crawl identifier (to limit query scope)","Aggregation parameters (e.g., group-by field)"],"output_types":["Columnar index records (metadata fields + byte offsets)","Aggregation results (counts, distributions, statistics)","Pagination tokens for large result sets"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"common-crawl__cap_3","uri":"capability://data.processing.analysis.web.graph.extraction.and.backlink.relationship.analysis","name":"web graph extraction and backlink relationship analysis","description":"Extracts hyperlink relationships from crawled pages to construct a directed web graph showing which pages link to which other pages. This graph data is provided separately from raw page content, enabling analysis of link structure, PageRank-like metrics, and domain authority without parsing HTML. The extraction process identifies both internal (same-domain) and external (cross-domain) links.","intents":["Analyze link structure and network topology of the web","Compute centrality metrics (PageRank, in-degree, out-degree) for pages and domains","Identify authoritative sources and hub pages within specific domains","Study how content spreads and links propagate across the web"],"best_for":["Network researchers studying web topology and link dynamics","SEO researchers analyzing domain authority and link patterns","ML researchers building graph-based features for ranking or recommendation models","Researchers studying information diffusion and content virality"],"limitations":["Graph extraction methodology, format, and completeness not documented; unclear if all link types (JavaScript-generated, redirects, canonical links) are captured","No real-time updates; graph reflects monthly crawl snapshots only","Requires significant storage and processing to work with full web graph (billions of nodes and edges)","Biased toward crawlable links; JavaScript-rendered links and dynamically-generated content may be underrepresented","No built-in graph algorithms or query API; raw graph data only"],"requires":["Graph processing framework (e.g., Apache Spark, NetworkX, or custom distributed system)","Storage for graph data (terabytes to petabytes depending on scope)","Understanding of graph formats (edge lists, adjacency matrices, or proprietary format unknown)","Computational resources for graph analysis (CPU, memory, or GPU)"],"input_types":["Crawl identifier (to select specific monthly snapshot)","Domain or URL filter (optional, to extract subgraph)"],"output_types":["Edge lists (source URL, target URL, link text, link type)","Graph statistics (node count, edge count, density, clustering coefficient)","Centrality metrics (PageRank, in-degree, out-degree, betweenness)"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"common-crawl__cap_4","uri":"capability://search.retrieval.historical.web.snapshot.retrieval.across.15.year.archive","name":"historical web snapshot retrieval across 15-year archive","description":"Enables retrieval of any page version from the cumulative 300+ billion page archive spanning 2007-present, with monthly granularity. Users specify a URL and date range, and the system returns all captures of that page from matching crawls. This creates a time-series view of how individual pages evolved, including content changes, design updates, and deletion/resurrection events.","intents":["Track how a specific page's content changed over years (e.g., company homepage evolution, news article updates)","Verify when a page was first published or last modified","Recover deleted content or find earlier versions of pages","Analyze temporal patterns in web content (e.g., seasonal updates, breaking news coverage)"],"best_for":["Digital historians and archivists studying web evolution","Journalists and researchers tracking how organizations change their messaging over time","Content forensics and fact-checking (finding original vs. modified versions)","Academic researchers studying web dynamics and content lifecycle"],"limitations":["Monthly crawl frequency means gaps between snapshots; changes within a month are not captured","Not all URLs are captured in every crawl; coverage varies by domain popularity and crawl budget","Deleted pages may have only a few snapshots; long-term tracking requires pages to remain crawlable","No automatic diff or change detection; users must manually compare versions","Requires downloading and parsing WARC files to extract actual content; index queries return metadata only"],"requires":["URL to track (exact match required; wildcard patterns may not work)","Date range in ISO 8601 or Unix timestamp format","WARC parsing library to extract content from returned captures","AWS S3 access to retrieve WARC files"],"input_types":["URL (exact)","Date range (start and end dates)","Optional: crawl identifiers to limit search"],"output_types":["List of captures (timestamp, HTTP status, content-type, byte offset)","Raw page content (HTML, text, binary) after WARC parsing","Metadata (page size, response headers, crawl date)"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"common-crawl__cap_5","uri":"capability://data.processing.analysis.warc.format.raw.data.export.with.http.headers.and.metadata","name":"warc format raw data export with http headers and metadata","description":"Exports raw web content in WARC (Web ARChive) format, a standardized container that bundles HTTP request/response pairs with metadata. Each WARC record includes the original HTTP status code, headers, response body (HTML, JSON, binary), and crawl metadata (timestamp, IP address, user-agent). WARC files are gzip-compressed and stored on S3, with indices enabling random access to specific records without decompressing entire files.","intents":["Access raw, unmodified HTML and HTTP headers for precise content analysis","Preserve complete HTTP context (status codes, redirects, headers) for research","Build training datasets with authentic web content and metadata","Analyze HTTP behavior and server responses at scale"],"best_for":["ML researchers building language model training datasets (C4, The Pile, RedPajama, FineWeb, Dolma all consume WARC data)","Web researchers studying HTTP behavior and server configurations","Content archivists preserving authentic web snapshots with full context"],"limitations":["WARC format requires specialized parsing; no built-in text extraction or HTML parsing","Gzip compression adds CPU overhead for decompression; byte-offset indexing enables random access but requires seeking within compressed streams","Raw content includes spam, malformed HTML, non-English text, and duplicates; significant downstream processing required for clean datasets","No built-in deduplication, language detection, or quality filtering; all filtering must be implemented downstream","Large file sizes (terabytes per crawl); downloading and processing requires substantial bandwidth and storage"],"requires":["WARC parsing library (warcio for Python, jwat for Java, or equivalent)","Gzip decompression support (standard in most languages)","AWS S3 SDK or CLI for file access","Understanding of HTTP standards and WARC format specification","Bandwidth and storage for multi-terabyte downloads"],"input_types":["WARC file paths or S3 URIs","Byte offsets (from CDXJ index) for random access","Crawl identifiers to select specific monthly snapshots"],"output_types":["WARC records (HTTP request, response headers, response body, metadata)","Raw HTML/JSON/binary content","HTTP metadata (status code, headers, timestamp, IP address)"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"common-crawl__cap_6","uri":"capability://automation.workflow.monthly.crawl.release.coordination.and.versioning","name":"monthly crawl release coordination and versioning","description":"Publishes monthly snapshots of the web crawl on a documented schedule, with each release including 2-5 billion pages, comprehensive statistics (page counts, size, coverage by domain/TLD), and known issues (errata). Each crawl is assigned a unique identifier and published with metadata enabling reproducible research. The release process includes documentation of crawl parameters (user-agent, politeness delays, robots.txt compliance) and known limitations.","intents":["Select a specific crawl snapshot for reproducible research or dataset building","Track web growth and coverage changes across monthly releases","Understand crawl parameters and methodology for evaluating data quality","Identify and work around known issues or data quality problems in specific crawls"],"best_for":["Researchers requiring reproducible, versioned datasets for peer review","Data engineers building production pipelines that need stable, documented data sources","Organizations tracking web growth and content distribution trends over time"],"limitations":["Monthly frequency means 1-4 week lag before latest web content is available","No guarantee of backward compatibility or long-term availability of older crawls; retention policy unknown","Errata tracking exists but correction mechanism and re-crawl policy unknown","No SLA or uptime guarantees documented; infrastructure status monitoring is informal","Crawl parameters (politeness delays, robots.txt interpretation) may change between releases without notice"],"requires":["Access to Common Crawl website or API for crawl metadata and statistics","Understanding of crawl identifiers and release schedule","Ability to parse crawl statistics and errata documentation"],"input_types":["Crawl identifier (e.g., 'CC-MAIN-2024-04' for April 2024)","Date range (to select multiple crawls)"],"output_types":["Crawl metadata (release date, page count, size, coverage statistics)","Errata and known issues","Crawl parameters and methodology documentation","Links to WARC files and indices on S3"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"common-crawl__cap_7","uri":"capability://safety.moderation.robots.txt.and.opt.out.registry.compliance.enforcement","name":"robots.txt and opt-out registry compliance enforcement","description":"Respects robots.txt directives and maintains an opt-out registry allowing content creators to exclude their sites from crawling and archival. The CCBot crawler checks robots.txt before crawling each domain and honors disallow rules. Additionally, a public opt-out registry enables site owners to request retroactive removal from the archive. Compliance is enforced at crawl time (robots.txt) and archive time (opt-out registry).","intents":["Ensure crawled content respects site owners' crawling preferences and legal requirements","Request removal of sensitive or proprietary content from the archive","Verify that a site has opted out before using its content in research or products","Build compliant datasets that exclude content from sites with explicit opt-out requests"],"best_for":["Researchers and organizations building datasets that must respect content creator preferences","Site owners and privacy advocates concerned about archival of sensitive content","Legal and compliance teams ensuring datasets meet content licensing requirements"],"limitations":["Opt-out registry is reactive; content may be archived before opt-out request is processed","robots.txt compliance is crawler-side; no guarantee that all crawlers respect directives","Opt-out removal process and timeline not documented; unclear how quickly requests are processed","No mechanism to opt out of specific crawls retroactively; removal applies to entire archive","Opt-out registry is public; site owners must actively request removal (no automatic detection)"],"requires":["robots.txt file on site root (standard HTTP location)","Access to Common Crawl opt-out registry (URL and submission process unknown)","Understanding of robots.txt syntax and semantics","Ability to verify opt-out status before using content"],"input_types":["Domain name (for robots.txt lookup)","Opt-out request (domain, contact info, reason)"],"output_types":["robots.txt directives (allow/disallow rules)","Opt-out status (confirmed or pending)","Removal confirmation and timeline"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"common-crawl__cap_8","uri":"capability://tool.use.integration.hugging.face.integration.and.dataset.export","name":"hugging face integration and dataset export","description":"Provides integration with Hugging Face Hub, enabling researchers to access Common Crawl data through the Hugging Face datasets library and export processed datasets directly to the Hub. This integration abstracts away S3 access complexity and enables one-line dataset loading in Python. Processed datasets (C4, The Pile, RedPajama, FineWeb, Dolma) are published on the Hub with documentation and usage examples.","intents":["Load Common Crawl-derived datasets in Python with a single line of code","Discover and compare different Common Crawl processing pipelines (C4, The Pile, RedPajama, FineWeb, Dolma)","Publish processed datasets to the Hub for community use and citation","Access dataset documentation, statistics, and usage examples"],"best_for":["ML practitioners and researchers building language models using Python","Teams publishing processed datasets for community use","Organizations wanting to avoid direct S3 access and WARC parsing complexity"],"limitations":["Integration details and API not documented; unclear if direct Common Crawl access is available or only pre-processed datasets","Processed datasets (C4, The Pile, etc.) are maintained by third parties; Common Crawl team does not control quality or updates","Hugging Face Hub has bandwidth and storage limits; large datasets may require direct S3 access","Dataset versions may lag behind latest Common Crawl crawls; update frequency depends on maintainers"],"requires":["Python 3.7+ with Hugging Face datasets library installed","Hugging Face account (free) for dataset access","Internet connection for downloading datasets (may require significant bandwidth)"],"input_types":["Dataset identifier (e.g., 'c4', 'the_pile', 'redpajama')","Configuration/split (e.g., 'en', 'validation')","Streaming or download mode"],"output_types":["Hugging Face Dataset object (in-memory or streaming)","Processed text or structured data (format depends on dataset)","Dataset metadata and statistics"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"common-crawl__cap_9","uri":"capability://automation.workflow.community.maintained.extraction.and.processing.pipelines","name":"community-maintained extraction and processing pipelines","description":"Enables third-party researchers and organizations to build and publish extraction pipelines that transform raw Common Crawl WARC data into clean, deduplicated, filtered datasets suitable for model training. Major pipelines (C4, The Pile, RedPajama, FineWeb, Dolma) are published with open-source code, documentation, and reproducible builds. These pipelines handle deduplication, language filtering, quality scoring, and format conversion.","intents":["Understand how raw Common Crawl data is processed into training datasets","Reproduce or modify existing pipelines (C4, The Pile, RedPajama, FineWeb, Dolma) for custom datasets","Publish custom extraction pipelines for community use and citation","Compare different processing approaches and their impact on model training"],"best_for":["ML researchers building custom training datasets with specific quality or content requirements","Data engineers implementing large-scale ETL pipelines for model training","Organizations wanting to understand and audit how their data is processed"],"limitations":["Pipeline code and documentation quality varies; no standardization or review process","Reproducing pipelines requires significant computational resources (weeks of processing on large clusters)","No official Common Crawl support for custom pipelines; maintenance and updates depend on community","Pipeline code may use deprecated dependencies or outdated Common Crawl API versions","No versioning or reproducibility guarantees across pipeline updates"],"requires":["Understanding of Python, distributed computing frameworks (Spark, Dask), or equivalent","Access to large-scale computing resources (cloud clusters, GPUs) for processing","Familiarity with WARC format and text processing libraries","Git and version control for managing pipeline code"],"input_types":["Raw WARC files from Common Crawl","Configuration files (filtering rules, deduplication parameters, quality thresholds)","Optional: pre-computed indices or metadata"],"output_types":["Processed datasets (deduplicated, filtered, formatted for training)","Dataset statistics and quality metrics","Pipeline code and documentation (open-source)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"common-crawl__headline","uri":"capability://data.processing.analysis.open.web.data.archive.for.model.training","name":"open web data archive for model training","description":"Common Crawl is the largest open web data archive, providing petabytes of raw web data essential for training language models and other AI applications, accessible for free but requiring processing to extract usable text.","intents":["best open web data source","open web data for AI training","free web dataset for NLP","largest web crawl dataset","web data for machine learning"],"best_for":["researchers","data scientists","developers"],"limitations":["requires processing","data quality may vary"],"requires":["technical expertise in data processing"],"input_types":["raw web data"],"output_types":["clean text for model training"],"categories":["data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":59,"verified":false,"data_access_risk":"high","permissions":["AWS account with S3 access permissions (free tier available for initial exploration)","Understanding of WARC file format and HTTP archive standards","WARC parsing library (e.g., warcio for Python, or equivalent)","Network bandwidth for downloading multi-terabyte datasets (egress costs unknown)","Understanding of CDXJ format and query syntax (documentation location unknown)","HTTP client for querying index API (curl, Python requests, etc.)","WARC parsing library to extract content from returned byte offsets","AWS S3 access to retrieve WARC files by offset","Access to Common Crawl status page (URL and format unknown)","Email subscription to mailing list for updates"],"failure_modes":["Raw WARC format requires specialized parsing tools; no built-in text extraction API","Crawl frequency is monthly, not real-time; latest data is 1-4 weeks old","Content respects robots.txt and opt-out registry, so paywalled, authenticated, or excluded sites are missing","No deduplication or quality filtering applied at crawl time; downstream processing required to remove spam, malformed HTML, and duplicates","Bias toward crawlable, English-language, and publicly indexable content; non-English and dynamic content underrepresented","CDXJ query syntax and API endpoint details not documented in provided materials; requires reverse-engineering or community documentation","Index lookups return metadata and offsets, not content directly; must still parse WARC files to extract actual page data","No full-text search across page content; URL-based queries only","Date range queries may return hundreds of captures per URL, requiring client-side filtering","Status monitoring is informal; no SLA or uptime guarantees documented","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7,"quality":0.9,"ecosystem":0.39999999999999997,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.3,"quality":0.25,"ecosystem":0.1,"match_graph":0.3,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:21.548Z","last_scraped_at":null,"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=common-crawl","compare_url":"https://unfragile.ai/compare?artifact=common-crawl"}},"signature":"wcg3LBd4MmsSWQA9TZKdQWGrnylLuoGQeHUP4G8AgQ2N0n67uO5xR8efCeb+c6z1pTwyUGCT9ygqn1AFfgUABA==","signedAt":"2026-06-21T00:12:25.081Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/common-crawl","artifact":"https://unfragile.ai/common-crawl","verify":"https://unfragile.ai/api/v1/verify?slug=common-crawl","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"}}