[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-tavily-product-competitor-intelligence":3,"mdc-fbf71q-key":36,"related-org-tavily-product-competitor-intelligence":725,"related-repo-tavily-product-competitor-intelligence":889},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":12,"stars":26,"repoUrl":27,"updatedAt":28,"license":29,"forks":26,"topics":30,"repo":31,"sourceUrl":34,"mdContent":35},"product-competitor-intelligence","research competitor products and market data","Research competitor products, SKUs, pricing, packaging, positioning, feature comparisons, product catalogs, category pages, retailer listings, marketplace data, and market intelligence. Use when the user asks for competitor SKU discovery, product data enrichment, pricing\u002Fspec extraction, product comparison, market intelligence, or crawl\u002Fmap-driven product research.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},"tavily","Tavily","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Ftavily.png","tavily-ai",[13,17,20,23],{"name":14,"slug":15,"type":16},"Research","research","tag",{"name":18,"slug":19,"type":16},"Competitive Intelligence","competitive-intelligence",{"name":21,"slug":22,"type":16},"Marketing","marketing",{"name":24,"slug":25,"type":16},"E-commerce","e-commerce",0,"https:\u002F\u002Fgithub.com\u002Ftavily-ai\u002Ftavily-grok-plugin","2026-07-21T06:07:34.257311","MIT",[],{"repoUrl":27,"stars":26,"forks":26,"topics":32,"description":33},[],null,"https:\u002F\u002Fgithub.com\u002Ftavily-ai\u002Ftavily-grok-plugin\u002Ftree\u002FHEAD\u002Fskills\u002Fproduct-competitor-intelligence","---\nname: product-competitor-intelligence\ndescription: Research competitor products, SKUs, pricing, packaging, positioning, feature comparisons, product catalogs, category pages, retailer listings, marketplace data, and market intelligence. Use when the user asks for competitor SKU discovery, product data enrichment, pricing\u002Fspec extraction, product comparison, market intelligence, or crawl\u002Fmap-driven product research.\nlicense: MIT\nmetadata:\n  author: tavily\n  version: \"0.1.0\"\n  homepage: https:\u002F\u002Fwww.tavily.com\n  source: https:\u002F\u002Fgithub.com\u002Ftavily-ai\u002Fuse-case-skills\n---\n\n# Product Competitor Intelligence\n\n## Workflow\n\nUse Tavily's MCP search and extract tools for product, pricing, SKU, feature, and competitor intelligence; use map or crawl for known catalogs and large competitor sites. Keep this skill focused on query construction, site navigation, source filtering, and synthesis.\n\nTreat the guidance below as base guidance; adapt it to the user's request when appropriate.\n\n- Clarify the category, competitors, geography, target customer, price band, feature set, and desired output format.\n- Split broad questions into short subqueries under 400 characters: competitors, product category, pricing, alternatives, reviews, SKUs, specs, marketplaces, and recent launches.\n- Search for relevant competitors, product pages, category pages, retailer listings, pricing pages, reviews, docs, and official sources.\n- Filter by relevance score, domain trust, page type, and freshness before extracting.\n- Extract only selected pages that can support the requested comparison, table, or brief.\n- Use site mapping before broad collection on known competitor, retailer, manufacturer, marketplace, docs, or catalog domains.\n- Collect multiple pages only after choosing relevant path patterns and a tight scope.\n\n## Research Budget\n\n- Start with a small focused search set covering competitors, category, pricing, features\u002Fspecs, reviews, or launches.\n- Extract only the strongest product, pricing, catalog, marketplace, docs, or review pages before drafting.\n- Add more searches only for named gaps, such as missing pricing, missing SKU evidence, or missing official competitor pages.\n- Do not use map unless a known competitor, retailer, manufacturer, marketplace, docs, or catalog domain needs URL discovery.\n- Do not use crawl until map has identified a narrow product, pricing, category, docs, or catalog section.\n\n## Capability Guidance\n\n- Use search for competitor discovery, pricing checks, feature comparisons, product claims, reviews, and launch signals.\n- Use extract on selected product, pricing, docs, catalog, marketplace, review, or changelog pages.\n- Use map when the domain is known but the relevant product, pricing, changelog, docs, category, or catalog pages are hard to find.\n- Use crawl for SKU\u002Fcatalog discovery only after narrowing to relevant sections.\n- Use research only when the user asks for a market report rather than product-level evidence.\n\n## Query And Source Guidance\n\n- Include product category, buyer segment, geography, price band, SKU\u002Fmodel terms, competitor names, and feature terms in separate subqueries.\n- Prioritize official product pages, pricing pages, docs, catalogs, retailer listings, marketplaces, review sites, customer stories, changelogs, and credible launch coverage.\n- For known sites, look for paths such as products, pricing, category, collections, docs, blog, changelog, customers, or case studies.\n- Avoid irrelevant paths such as login, cart, checkout, account, admin, tag archives, and unrelated content.\n- Dedupe near-identical product pages, regional variants, and syndicated listings before synthesis.\n- Report failed or inaccessible sources when they affect pricing, specs, availability, or competitor coverage.\n\n## Output Template\n\nUse this markdown structure and adapt columns to the user's request:\n\n```markdown\n# Product And Competitor Intelligence: \u003Ccategory\u002Fcompany>\n\n## Scope\n- Category:\n- Geography:\n- Competitors covered:\n- Source coverage limits:\n\n## Product Comparison\n| Product\u002FSKU | Company | Category | Pricing\u002Favailability | Key features\u002Fspecs | Positioning | Source |\n| --- | --- | --- | --- | --- | --- | --- |\n\n## Competitor Notes\n### \u003CCompetitor>\n- Positioning:\n- Product\u002Fpricing evidence:\n- Strengths:\n- Gaps or uncertainty:\n\n## Market Signals\n- Launches or changes:\n- Review\u002Fcustomer signals:\n- Distribution or channel signals:\n\n## Follow-Up Searches\n- \u003Cquery idea>\n```\n\nKeep each claim tied to a source. Mark pricing, availability, or specs as unavailable when they are not visible.\n",{"data":37,"body":42},{"name":4,"description":6,"license":29,"metadata":38},{"author":8,"version":39,"homepage":40,"source":41},"0.1.0","https:\u002F\u002Fwww.tavily.com","https:\u002F\u002Fgithub.com\u002Ftavily-ai\u002Fuse-case-skills",{"type":43,"children":44},"root",[45,53,60,66,71,111,117,145,151,179,185,218,224,229,714,719],{"type":46,"tag":47,"props":48,"children":49},"element","h1",{"id":4},[50],{"type":51,"value":52},"text","Product Competitor Intelligence",{"type":46,"tag":54,"props":55,"children":57},"h2",{"id":56},"workflow",[58],{"type":51,"value":59},"Workflow",{"type":46,"tag":61,"props":62,"children":63},"p",{},[64],{"type":51,"value":65},"Use Tavily's MCP search and extract tools for product, pricing, SKU, feature, and competitor intelligence; use map or crawl for known catalogs and large competitor sites. 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changes:\n",{"type":46,"tag":242,"props":640,"children":642},{"class":244,"line":641},22,[643,647],{"type":46,"tag":242,"props":644,"children":645},{"style":249},[646],{"type":51,"value":307},{"type":46,"tag":242,"props":648,"children":649},{"style":310},[650],{"type":51,"value":651}," Review\u002Fcustomer signals:\n",{"type":46,"tag":242,"props":653,"children":655},{"class":244,"line":654},23,[656,660],{"type":46,"tag":242,"props":657,"children":658},{"style":249},[659],{"type":51,"value":307},{"type":46,"tag":242,"props":661,"children":662},{"style":310},[663],{"type":51,"value":664}," Distribution or channel signals:\n",{"type":46,"tag":242,"props":666,"children":668},{"class":244,"line":667},24,[669],{"type":46,"tag":242,"props":670,"children":671},{"emptyLinePlaceholder":281},[672],{"type":51,"value":284},{"type":46,"tag":242,"props":674,"children":676},{"class":244,"line":675},25,[677,681],{"type":46,"tag":242,"props":678,"children":679},{"style":249},[680],{"type":51,"value":293},{"type":46,"tag":242,"props":682,"children":683},{"style":255},[684],{"type":51,"value":685},"Follow-Up Searches\n",{"type":46,"tag":242,"props":687,"children":689},{"class":244,"line":688},26,[690,694,699,704,710],{"type":46,"tag":242,"props":691,"children":692},{"style":249},[693],{"type":51,"value":307},{"type":46,"tag":242,"props":695,"children":696},{"style":249},[697],{"type":51,"value":698}," \u003C",{"type":46,"tag":242,"props":700,"children":701},{"style":266},[702],{"type":51,"value":703},"query",{"type":46,"tag":242,"props":705,"children":707},{"style":706},"--shiki-light:#9C3EDA;--shiki-default:#C792EA;--shiki-dark:#C792EA",[708],{"type":51,"value":709}," idea",{"type":46,"tag":242,"props":711,"children":712},{"style":249},[713],{"type":51,"value":274},{"type":46,"tag":61,"props":715,"children":716},{},[717],{"type":51,"value":718},"Keep each claim tied to a source. Mark pricing, availability, or specs as unavailable when they are not visible.",{"type":46,"tag":720,"props":721,"children":722},"style",{},[723],{"type":51,"value":724},"html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"items":726,"total":568},[727,743,756,771,781,794,805,818,831,846,863,870],{"slug":728,"name":728,"fn":729,"description":730,"org":731,"tags":732,"stars":740,"repoUrl":741,"updatedAt":742},"tavily-best-practices","implement Tavily integration best practices","Build production-ready Tavily integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor, etc.) to implement web search, content extraction, crawling, and research in agentic workflows, RAG systems, or autonomous agents.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[733,736,739],{"name":734,"slug":735,"type":16},"API Development","api-development",{"name":737,"slug":738,"type":16},"Search","search",{"name":9,"slug":8,"type":16},426,"https:\u002F\u002Fgithub.com\u002Ftavily-ai\u002Fskills","2026-04-06T18:54:03.550741",{"slug":744,"name":744,"fn":745,"description":746,"org":747,"tags":748,"stars":740,"repoUrl":741,"updatedAt":755},"tavily-cli","conduct web research with Tavily CLI","Web search, content extraction, crawling, and deep research via the Tavily CLI. Use this skill whenever the user wants to search the web, find articles, research a topic, look something up online, extract content from a URL, grab text from a webpage, crawl documentation, download a site's pages, discover URLs on a domain, or conduct in-depth research with citations. Also use when they say \"fetch this page\", \"pull the content from\", \"get the page at https:\u002F\u002F\", \"find me articles about\", or reference extracting data from external websites. This provides LLM-optimized web search, content extraction, site crawling, URL discovery, and AI-powered deep research — capabilities beyond what agents can do natively. Do NOT trigger for local file operations, git commands, deployments, or code editing tasks.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[749,752,753,754],{"name":750,"slug":751,"type":16},"CLI","cli",{"name":14,"slug":15,"type":16},{"name":737,"slug":738,"type":16},{"name":9,"slug":8,"type":16},"2026-04-06T18:54:02.065814",{"slug":757,"name":757,"fn":758,"description":759,"org":760,"tags":761,"stars":740,"repoUrl":741,"updatedAt":770},"tavily-crawl","crawl websites and extract content","Crawl websites and extract content from multiple pages via the Tavily CLI. Use this skill when the user wants to crawl a site, download documentation, extract an entire docs section, bulk-extract pages, save a site as local markdown files, or says \"crawl\", \"get all the pages\", \"download the docs\", \"extract everything under \u002Fdocs\", \"bulk extract\", or needs content from many pages on the same domain. Supports depth\u002Fbreadth control, path filtering, semantic instructions, and saving each page as a local markdown file.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[762,765,766,767],{"name":763,"slug":764,"type":16},"Automation","automation",{"name":750,"slug":751,"type":16},{"name":9,"slug":8,"type":16},{"name":768,"slug":769,"type":16},"Web Scraping","web-scraping","2026-04-06T18:54:09.921446",{"slug":772,"name":772,"fn":773,"description":774,"org":775,"tags":776,"stars":740,"repoUrl":741,"updatedAt":780},"tavily-dynamic-search","search the web via Tavily","Programmatic web search with context isolation. Use this skill for any research task where you need to search the web, filter results, and extract specific information — without polluting your context window with raw HTML and boilerplate. This is the default skill for web research. Triggered by \"search for\", \"look up\", \"find\", \"research\", \"what's the latest on\", or any query that requires current web information. Also use when asked to \"search and filter\", \"find the important parts\", or \"extract the key details\" — any case where the user wants curated, noise-free content.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[777,778,779],{"name":14,"slug":15,"type":16},{"name":737,"slug":738,"type":16},{"name":9,"slug":8,"type":16},"2026-04-14T04:50:31.944584",{"slug":782,"name":782,"fn":783,"description":784,"org":785,"tags":786,"stars":740,"repoUrl":741,"updatedAt":793},"tavily-extract","extract markdown content from URLs","Extract clean markdown or text content from specific URLs via the Tavily CLI. Use this skill when the user has one or more URLs and wants their content, says \"extract\", \"grab the content from\", \"pull the text from\", \"get the page at\", \"read this webpage\", or needs clean text from web pages. Handles JavaScript-rendered pages, returns LLM-optimized markdown, and supports query-focused chunking for targeted extraction. Can process up to 20 URLs in a single call.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[787,788,791,792],{"name":750,"slug":751,"type":16},{"name":789,"slug":790,"type":16},"Content Creation","content-creation",{"name":9,"slug":8,"type":16},{"name":768,"slug":769,"type":16},"2026-04-06T18:54:08.624436",{"slug":795,"name":795,"fn":796,"description":797,"org":798,"tags":799,"stars":740,"repoUrl":741,"updatedAt":804},"tavily-map","map website URLs with Tavily","Discover and list all URLs on a website without extracting content, via the Tavily CLI. Use this skill when the user wants to find a specific page on a large site, list all URLs, see the site structure, find where something is on a domain, or says \"map the site\", \"find the URL for\", \"what pages are on\", \"list all pages\", or \"site structure\". Faster than crawling — returns URLs only. Essential when you know the site but not the exact page. Combine with extract for targeted content retrieval.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[800,801,802,803],{"name":750,"slug":751,"type":16},{"name":737,"slug":738,"type":16},{"name":9,"slug":8,"type":16},{"name":768,"slug":769,"type":16},"2026-04-06T18:54:04.832149",{"slug":806,"name":806,"fn":807,"description":808,"org":809,"tags":810,"stars":740,"repoUrl":741,"updatedAt":817},"tavily-research","conduct AI-powered research with Tavily","Conduct comprehensive AI-powered research with citations via the Tavily CLI. Use this skill when the user wants deep research, a detailed report, a comparison, market analysis, literature review, or says \"research\", \"investigate\", \"analyze in depth\", \"compare X vs Y\", \"what does the market look like for\", or needs multi-source synthesis with explicit citations. Returns a structured report grounded in web sources. Takes 30-120 seconds. For quick fact-finding, use tavily-search instead.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[811,812,813,816],{"name":750,"slug":751,"type":16},{"name":14,"slug":15,"type":16},{"name":814,"slug":815,"type":16},"Summarization","summarization",{"name":9,"slug":8,"type":16},"2026-04-06T18:54:07.378619",{"slug":819,"name":819,"fn":820,"description":821,"org":822,"tags":823,"stars":740,"repoUrl":741,"updatedAt":830},"tavily-search","search the web with Tavily","Search the web with LLM-optimized results via the Tavily CLI. Use this skill when the user wants to search the web, find articles, look up information, get recent news, discover sources, or says \"search for\", \"find me\", \"look up\", \"what's the latest on\", \"find articles about\", or needs current information from the internet. Returns relevant results with content snippets, relevance scores, and metadata — optimized for LLM consumption. Supports domain filtering, time ranges, and multiple search depths.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[824,825,828,829],{"name":750,"slug":751,"type":16},{"name":826,"slug":827,"type":16},"LLM","llm",{"name":737,"slug":738,"type":16},{"name":9,"slug":8,"type":16},"2026-04-06T18:54:06.085596",{"slug":832,"name":832,"fn":833,"description":834,"org":835,"tags":836,"stars":26,"repoUrl":27,"updatedAt":845},"academic-scientific-research","synthesize academic and scientific literature","Find, screen, and synthesize academic papers, scientific literature, technical reports, preprints, clinical or biomedical publications, and evidence around a research question. Use when the user asks to find papers, summarize literature, compare methods, identify seminal or recent work, extract claims from studies, or build a source-grounded academic\u002Fscientific evidence brief.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[837,840,843,844],{"name":838,"slug":839,"type":16},"Bioinformatics","bioinformatics",{"name":841,"slug":842,"type":16},"Life Sciences","life-sciences",{"name":14,"slug":15,"type":16},{"name":814,"slug":815,"type":16},"2026-07-21T06:07:31.35948",{"slug":847,"name":847,"fn":848,"description":849,"org":850,"tags":851,"stars":26,"repoUrl":27,"updatedAt":862},"investment-research-briefs","create investment research briefs","Create concise investment research briefs, company memos, sector snapshots, portfolio monitoring updates, earnings\u002Fnews summaries, risk and catalyst briefs, and market thesis support. Use when the user asks for an investor-focused brief on a company, sector, public\u002Fprivate market, comparable set, or portfolio theme.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[852,855,858,861],{"name":853,"slug":854,"type":16},"Finance","finance",{"name":856,"slug":857,"type":16},"Financial Modeling","financial-modeling",{"name":859,"slug":860,"type":16},"Investment Banking","investment-banking",{"name":14,"slug":15,"type":16},"2026-07-21T06:07:30.328538",{"slug":4,"name":4,"fn":5,"description":6,"org":864,"tags":865,"stars":26,"repoUrl":27,"updatedAt":28},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[866,867,868,869],{"name":18,"slug":19,"type":16},{"name":24,"slug":25,"type":16},{"name":21,"slug":22,"type":16},{"name":14,"slug":15,"type":16},{"slug":871,"name":871,"fn":872,"description":873,"org":874,"tags":875,"stars":26,"repoUrl":27,"updatedAt":888},"sales-account-intelligence","build sales account intelligence","Build sales-ready account intelligence for companies, prospects, customers, partners, and target buyers. Use when the user asks for sales prep, account brief, meeting prep, buyer research, expansion signals, customer intelligence, trigger events, executive context, outreach angles, or market\u002Faccount context for GTM teams.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[876,879,882,885],{"name":877,"slug":878,"type":16},"CRM","crm",{"name":880,"slug":881,"type":16},"Lead Enrichment","lead-enrichment",{"name":883,"slug":884,"type":16},"Prospecting","prospecting",{"name":886,"slug":887,"type":16},"Sales","sales","2026-07-21T06:07:33.56804",{"items":890,"total":342},[891,898,905,912,919,930,947],{"slug":832,"name":832,"fn":833,"description":834,"org":892,"tags":893,"stars":26,"repoUrl":27,"updatedAt":845},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[894,895,896,897],{"name":838,"slug":839,"type":16},{"name":841,"slug":842,"type":16},{"name":14,"slug":15,"type":16},{"name":814,"slug":815,"type":16},{"slug":847,"name":847,"fn":848,"description":849,"org":899,"tags":900,"stars":26,"repoUrl":27,"updatedAt":862},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[901,902,903,904],{"name":853,"slug":854,"type":16},{"name":856,"slug":857,"type":16},{"name":859,"slug":860,"type":16},{"name":14,"slug":15,"type":16},{"slug":4,"name":4,"fn":5,"description":6,"org":906,"tags":907,"stars":26,"repoUrl":27,"updatedAt":28},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[908,909,910,911],{"name":18,"slug":19,"type":16},{"name":24,"slug":25,"type":16},{"name":21,"slug":22,"type":16},{"name":14,"slug":15,"type":16},{"slug":871,"name":871,"fn":872,"description":873,"org":913,"tags":914,"stars":26,"repoUrl":27,"updatedAt":888},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[915,916,917,918],{"name":877,"slug":878,"type":16},{"name":880,"slug":881,"type":16},{"name":883,"slug":884,"type":16},{"name":886,"slug":887,"type":16},{"slug":920,"name":920,"fn":921,"description":922,"org":923,"tags":924,"stars":26,"repoUrl":27,"updatedAt":929},"tavily-web","research the web with Tavily","Search and research the web with Tavily. Use for current information, source discovery, webpage extraction, site mapping, documentation crawling, comparisons, and comprehensive research with citations.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[925,926,927,928],{"name":14,"slug":15,"type":16},{"name":737,"slug":738,"type":16},{"name":9,"slug":8,"type":16},{"name":768,"slug":769,"type":16},"2026-07-21T06:07:29.989683",{"slug":931,"name":931,"fn":932,"description":933,"org":934,"tags":935,"stars":26,"repoUrl":27,"updatedAt":946},"threat-intelligence-enrichment","enrich threat intelligence data","Enrich threat intelligence from CVEs, IOCs, malware names, threat actors, vendor advisories, security incidents, exploit reports, vulnerability disclosures, breach news, and mitigation guidance. Use when the user asks to investigate a CVE, enrich indicators, summarize vendor advisories, assess exploit status, collect mitigations, or produce a source-grounded security brief.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[936,939,940,943],{"name":937,"slug":938,"type":16},"Code Analysis","code-analysis",{"name":14,"slug":15,"type":16},{"name":941,"slug":942,"type":16},"Security","security",{"name":944,"slug":945,"type":16},"Threat Modeling","threat-modeling","2026-07-21T06:07:30.67376",{"slug":948,"name":948,"fn":949,"description":950,"org":951,"tags":952,"stars":26,"repoUrl":27,"updatedAt":965},"vendor-risk-kyc-screening","screen vendors for risk and compliance","Screen vendors, merchants, suppliers, counterparties, companies, executives, and related entities for vendor risk, KYC, adverse media, sanctions, regulatory actions, litigation, recalls, supplier risk, cybersecurity incidents, and compliance concerns. Use when the user asks for vendor onboarding research, KYC screening, supplier due diligence, merchant case research, or a source-grounded risk brief.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[953,956,959,962],{"name":954,"slug":955,"type":16},"Compliance","compliance",{"name":957,"slug":958,"type":16},"KYC","kyc",{"name":960,"slug":961,"type":16},"Risk Assessment","risk-assessment",{"name":963,"slug":964,"type":16},"Vendor Management","vendor-management","2026-07-21T06:07:33.917725"]