"A comprehensive market intelligence and competitive analysis platform" matching MCP tools:

• market_reportA

  MCP Market RussiaA

  Generate a comprehensive market report for a specific region. Includes: market size, price tiers, top players, contact availability, competitive landscape. Perfect for investors, business development, and market entry analysis. Args: region: Region name (e.g. 'Москва', 'Ленинградская область').

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• market_reportA

  MCP Market RussiaB

  Generate a comprehensive market report for a specific region. Includes: market size, price tiers, top players, contact availability, competitive landscape. Perfect for investors, business development, and market entry analysis. Args: region: Region name (e.g. 'Москва', 'Ленинградская область').

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• strategic_intelligenceA

  Ideabob ValidationA

  Run the Strategic Intelligence Engine on an existing idea. Synthesizes every completed analysis (score, validation, pressure test, competition, market research, durability, roadmap, cost, discovery) into market landscape, competitive map, white space, feature matrix, moat analysis, category call, strategic recommendations, defensibility score, opportunity ranking and a board-level executive recommendation.

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• interzoid_competitor_analysisA

  mcp-serverA

  Competitor analysis for any company: returns its industry and market position, top direct and indirect competitors, competitive advantages and weaknesses, market dynamics, and strategic outlook. For competitive intelligence, market research, sales battlecards, and investment research. Cost: $0.25 USDC via x402.

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• nexscope_amazon_opportunity_report_by_keywordA

  NexscopeC

  Query Amazon business insight reports by keyword, covering six dimensions: market potential, product characteristics, user reviews, customer profiles, search trends, and pricing analysis with AI-powered comprehensive analysis. Trigger when users mention Amazon business insights, market opportunity reports, product selection reports, competitive landscape, consumer profiles, pricing analysis, niche market research, or similar terms. Even if the user does not explicitly say "business insights," trigger this skill whenever their request involves a comprehensive market opportunity assessment or report generation for an Amazon keyword.

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• nexscope_amazon_opportunity_report_by_keywordA

  Nexscope Ecommerce Data MCPC

  Query Amazon business insight reports by keyword, covering six dimensions: market potential, product characteristics, user reviews, customer profiles, search trends, and pricing analysis with AI-powered comprehensive analysis. Trigger when users mention Amazon business insights, market opportunity reports, product selection reports, competitive landscape, consumer profiles, pricing analysis, niche market research, or similar terms. Even if the user does not explicitly say "business insights," trigger this skill whenever their request involves a comprehensive market opportunity assessment or report generation for an Amazon keyword.

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• nexscope_amazon_niche_infoB

  NexscopeC

  Query and analyze Nexscope data for Amazon niche market insights, including market metrics, buyer reviews, competitive landscape, price trends, and growth trends. Trigger when the user mentions niche market analysis, market insights, niche market data, market competition analysis, brand concentration, new product launch success rate, out-of-stock rate, price trends, review insights, market demand score, niche market insights, market metrics, competition analysis, price trends, growth trends, Nexscope data, market intelligence, out-of-stock rate. Even if the user does not explicitly mention "Nexscope" or "niche market", if their need involves querying market-level intelligence for a specific Amazon niche market by market ID, this skill should also be triggered.

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• nexscope_amazon_niche_infoB

  Nexscope Ecommerce Data MCPC

  Query and analyze Nexscope data for Amazon niche market insights, including market metrics, buyer reviews, competitive landscape, price trends, and growth trends. Trigger when the user mentions niche market analysis, market insights, niche market data, market competition analysis, brand concentration, new product launch success rate, out-of-stock rate, price trends, review insights, market demand score, niche market insights, market metrics, competition analysis, price trends, growth trends, Nexscope data, market intelligence, out-of-stock rate. Even if the user does not explicitly mention "Nexscope" or "niche market", if their need involves querying market-level intelligence for a specific Amazon niche market by market ID, this skill should also be triggered.

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• list_creator_videosA

  SocialGPTA

  List a public/competitor creator's videos by platform + handle. Sort by 'recent' or 'top' (best-performing); optionally with analysis inline. Only returns creators already in the analysis library — for one you haven't ingested yet this returns reason="creator_not_in_library" with a next_step of analyze_creator(platform, username), not an error. When more videos exist beyond this page the response includes next_cursor — pass it back as cursor (same sort/filters) to fetch the next page; when next_cursor is absent you have everything.

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• proximens_geo_compare_urlsA

  Proximens OracleA

  Pro-tier. Fetch two web pages (your URL and a competitor's) and audit both against the Proximens GEO Engine principles using the same audit engine as audit_url, then compute the delta. INPUT: self_url and competitor_url (both required, http/https). RETURNS: JSON with a 0-100 score per URL (same scoring as audit_url), the principles each page satisfies, the principles each page VIOLATES that the other satisfies (delta_principles), and strategic insights on where to close the gap. USE WHEN you want a competitive GEO gap analysis between your page and a rival's.

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• generate_framework_analysisA

  jeda-aiA

  Runs a specific framework against a user's inputs and produces a full analysis: prose explanation + structured fields + a self-contained SVG visualisation. Powered by the Jeda.ai · Visual AI framework knowledge graph. ALWAYS call `recommend_framework` FIRST to obtain a valid framework_id -- it returns the exact namespaced slug to pass here. Framework ids are namespaced by category (e.g. SWOT = "cms_swot-analysis", Porter's 5 Forces = "cms_porters-five-forces"); a bare slug like "swot-analysis" will 404. REQUIRED post-processing on success: the response's first text block contains a `curl -fsSL` save-directive for the SVG. Save the file locally and surface it as a file chip — do NOT summarise the visual in prose. Input: framework_id (namespaced slug from `recommend_framework`) + user_inputs object (per-framework field set), OR a free-text `raw_prompt` fallback. Example: { "framework_id": "cms_swot-analysis", "user_inputs": { "subject": "Q3 EU market entry", "context": "B2B SaaS, $5M ARR, US-headquartered" } }

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• foresea_batch_quotesA

  Foresea ForecastingA

  Call this when the user wants current price/volume for several markets at once -- a watchlist, a portfolio, "check on these 5 markets" -- instead of calling foresea_analyze_market once per market. Each ref is "platform:ident", e.g. "kalshi:KXFED-25JUN-H" or "polymarket:some-market-slug". Every quote carries fetched_at and age_seconds so you can judge freshness yourself -- both venues rate-limit hard, so don't assume a quote is live without checking age_seconds. One bad ref returns an error on that entry only; the rest of the batch still succeeds. Up to 50 refs per call. Example: refs=["kalshi:KXFED-25JUN-H", "polymarket:fed-cut-2026"] → {quotes: [{platform, ident, probability, volume, fetched_at, age_seconds, error}], count, truncated}.

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• searchA

  GUTHMANN® Berlin Real EstateA

  Semantic search over guthmann.estate — market insights, reports, neighborhood portraits, listing exposés, project pages and the company's own pages. Hybrid retrieval (vector + keyword, no reranking); one result per page with title, description, image, best-matching snippet and score. Use it for questions that need prose (analysis, context, advice); use the data tools for exact numbers and `listings` for what is currently for sale — the search index follows the website with up to six hours of delay. Parameters: - q: natural-language query, in the language of the pages you want (min 2 characters) - locale: "de" | "en" — language of the indexed pages (default: en) - section: comma-separated filter — "listings" (exposés), "projects" (new-build projects), "market-intelligence" (insights, reports, portraits), "pages" (company, services, guides); omit for all - limit: 1-20 pages (default: 10) Key response fields: - url, title, description, image, section, language - snippet (best-matching text passage), score (0-1)

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• get_video_analysisA

  SocialGPTA

  Get the full analysis (incl. scene breakdown) for a video — owned or public/competitor. Pass `platform` and `post_id` separately (the native post_id from analyze_post or list_videos — not the composite `id` field). Deep analysis runs async (~30-60s): right after analyze_post this returns {"status": "pending", "retry_after_seconds": N} — that is expected, not an error. Wait that long and call again until you get the full analysis. A genuine 404 means the post was never analyzed — call analyze_post(url) first.

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• scan_domainA

  SiteGuardianA

  Runs a free one-off security scan of the given domain and returns its grade (A–F), scan timestamp, and up to three top-priority issues with a permalink to the full report on siteguardian.io. Use this when the user asks for a quick security check of a domain that is NOT yet under SiteGuardian monitoring, or when they want a fresh assessment before subscribing. Results are cached for two hours, so repeated calls about the same domain return the same snapshot and mark it with cached=True. Do NOT use this for domains already under monitoring by the user — call get_domain_status instead for the account-scoped view with framework tags. Do NOT use this to batch-scan many domains as a competitive-intelligence tool; per-source-IP and per-target rate limits bound usage. This tool does not require authentication.

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• search_platformsA

  crowdspaceA

  Search the CrowdSpace catalogue of crowdfunding and P2P lending platforms. Returns per platform: name, investment types, industries, country of headquarters, minimum investment, advertised return range, and the URL of its CrowdSpace profile. Use it to answer "which platforms let me…" questions and to cite specific platforms, always linking the returned profile URL. Do NOT use it for a full platform profile (fees, descriptions and terms are on the profile page, deliberately not in this API), nor for market-wide numbers — get_market_overview answers those in one call instead of paging through hundreds of results. Every filter value is enumerated in this schema; do not invent one. The catalogue keeps platforms that have stopped operating: a closed one is marked "no longer operating" in the result, and the count says how many of the matches are still running — say so rather than quoting the raw total as live platforms. Where a field is not in the result — fees, terms, the full description, the funding volume behind a sort — say it is not served here and link the profile. Do NOT fill the gap from your own knowledge: a figure you remember about a platform will be read as a figure from this catalogue.

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• markets_dashboardA

  TradingMCPB

  The user's live market board. Start here when they ask how the markets are doing in general: "how are the markets today?", "what's moving?", "market update", a morning check before the open, or "open the market dashboard". One call covers the overview: the user's own symbols on top (their watchlist, then what they asked about most in the last 30 days), then major indices (US, India, Türkiye, Indonesia, VIX), crypto, commodities and FX, each with today's change. Don't also call market_snapshot for the same overview; add other tools only for what the board doesn't show (futures, news, sectors). For a single symbol's price or analysis, use that symbol's own tool instead. Opens as an interactive dashboard; clicking a row asks for that market's chart or analysis. Clients without app support can read the `summary` field.

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• analyze_new_siteA

  BlawgyB

  Step 1 of adding a site to Blawgy. Crawls a domain that is not yet set up and returns what onboarding would suggest: a business description, audience and tone options, competitor domains, the detected business type and search market, and any physical locations found. Nothing is saved. Spends a few LLM calls and takes 15-40 seconds; set includeKeywordPreview=true for a sample of keyword topics too (adds about a minute and DataForSEO spend). Fails if the domain is already registered to an account or is a social/platform site. Review or edit the suggestions, then call create_site.

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• read_video_intelligenceA

  VidovaA

  Read Video Intelligence progress for a video. mediaId is the video's Asset ID from search_assets or its Library id. jobId null reads the whole video's index; pass the jobId that index_video (for a range) or analyze_video returned to read that job. waitSeconds 1–25 waits for a status change or deadline, without starting work or using credits; in the chat a wait goes on while the job runs, up to about two minutes. If canWait remains true, call again. disabled, upgrade_required, quota_exceeded, unsupported and failed are terminal: do not loop waiting or silently restart them. reason says why the job stopped and what to change. waiting_for_upload means upload/encoding must finish first; not_indexed means call index_video if wanted. Ready analysis jobs include their answer in result; note says how to read the answer's times.

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• latest_newsA

  NewsdataA

  Get news headlines and articles — world news, breaking news, and business/financial/stock-market news. Filter by keyword, country (2-letter, e.g. "us"), category (business, technology, politics, sports, health, science), and language. IMPORTANT: for stock-market / financial-market / economy / "world market news" questions, ALWAYS pass category: "business" — it returns real market-news outlets and filters out low-quality SEO/crypto-promo articles. Returns article title, description, link, source, publish date, category, and country. Paginate via the nextPage token. WITHOUT from_date/to_date this covers only roughly the LAST 48 HOURS (NewsData.io's rolling "latest" feed) — asking about an older event with no date window silently returns today's unrelated articles instead of an empty result. For a PAST date range, pass from_date/to_date (YYYY-MM-DD): this routes to NewsData.io's archive endpoint, which requires a plan tier above the shared platform key's default — if the account cannot serve it, the call returns a `filter_gap` field naming the unsupported window instead of silently substituting the latest 48h. Examples: latest_news({ query: "stock market", category: "business" }) for current world market news; latest_news({ query: "election", country: "us", category: "politics" }); latest_news({ query: "Houthi Yemen attack", from_date: "2026-08-01", to_date: "2026-08-15" }) for an August event.

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• get_market_intelligenceA

  Silicon AnalystsA

  Market Intelligence — the freshest SOURCED semiconductor market briefs, generated daily from a Tavily + Claude scan of primary press, earnings, and trade outlets. Each brief returns title, severity (Critical/High/Medium/Low), confidence_score (0-100), quantitative_impact (e.g. "HBM4 12-Hi 36GB contract price: $600 (2026) → $1,300 (2027) per stack"), an executive summary, a short analysis, a category (Logic/Memory/Packaging/Connectivity/Power/Geopolitics), and a curated sources[] list — plus per-record provenance. UNIQUELY: each brief also carries `entities` (the chips/nodes/packaging/HBM-gen/companies it concerns), `impact` (when it's a component cost move, the per-chip BOM dollar deltas computed from Silicon Analysts' cost models — e.g. "HBM3E +20% for 2027 → +$650 on B200" — with each chip's line_usd → new_line_usd, the year and basis its HBM line is priced at (priced_at), and a pre-filled calculator URL; an HBM move is added only to lines priced BEFORE its year, so a rise our models already carry is never counted twice), `impact_assessment` (why impact is or is not modeled: status modeled | not_added | not_a_component_price | mix_driven | no_price_stated | implausible | year_unknown, the parsed move — kind, pct, year, HBM generation, absolute level + basis — and not_modeled[] chips with their reason: legacy | already_priced | different_basis | implausible), `related` (cross-links to the live datapoints + tools), and `novelty` (when the HEADLINE fact first became public as the scanner could VERIFY it — verdict fresh/dated/stale/unknown, the verified first_public_date + source, and dataset_match when the figure was already in Silicon Analysts' data, i.e. the brief is a recap; a Critical is only ever stored when the fact is verifiably ≤7 days old). No pure-news source does this. The machine feed returns ALL severities; `published` flags the Critical/High briefs that also have a public page. Public sources only; no insider data. USE THIS for: "what's the latest in HBM / CoWoS / TSMC supply this week?", "any recent semiconductor price hikes, yield news, or capacity moves?", building a sourced market-news digest, grounding a claim about a recent supply-chain event. DO NOT USE for: current absolute cost/pricing values (use get_accelerator_costs / get_wafer_pricing / calculate_chip_cost); structured data movements over time (use get_recent_changes); allocation/lead-time status (use get_foundry_allocation). Filters: severity, category, since (ISO timestamp), publishedOnly (bool), limit (1-100, default 25). N2/Apple omitted (conflict-safe). Cite as "Silicon Analysts — Market Intelligence".

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