RivalSweeper Signals

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

• 连接方式: 在云端运行
• 传输方式: Streamable HTTP
• 分类: 网店与支付
• 你需要填写：Authorization

安装

选择你使用的 AI 应用，然后复制设置。

你需要

• 在云端运行无需安装任何东西，通过互联网连接

你用的是哪个应用？

claude mcp add --transport http signals https://mcp.rivalsweeper.com/mcp --header 'Authorization: your-value'

{
  "mcpServers": {
    "signals": {
      "url": "https://mcp.rivalsweeper.com/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

{
  "servers": {
    "signals": {
      "type": "http",
      "url": "https://mcp.rivalsweeper.com/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

• Authorization 机密 HTTP header
  Optional. RivalSweeper customers: OAuth 2.1 sign-in with your RivalSweeper account (included in your plan). Developers: Bearer rsk_... prepaid API key from https://www.rivalsweeper.com/solutions/sign…

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

工具名称和描述与服务器在 2026年11月7日 报告的完全一致。这些内容由作者撰写，不是我们写的；我们以纯文本形式显示。

• check_brand_data_coverage

  Check which competitive signals RivalSweeper has for an eCommerce domain, with per-signal freshness (for prices: when a price was last read, plus the share of priced products read in the last 7 days; records counts products, each product once however many variant rows it has; for

• get_active_promotions_and_coupons

  Active promotions/discount codes for a brand: code, discount, terms, valid_until. Only live offers (expired and single-use codes left out). Each row says how it is known: verification = seen_on_brand_homepage (read off the brand's own homepage) or third_party_unverified (listed o

• get_brand_price_statistics

  Price statistics (min/max/avg/median) plus recent product samples for a brand, optionally filtered by product-name query. Freshness = when a price was last read; stats also give the share of products whose price was read in the last 7 days and the median read time, and a note fla

• find_closest_competitor_brands

  The brand's last-known DNA competitor set: the closest competing brands RivalSweeper identified for a domain, each with name, website, country and match tier, plus the brand's own DNA profile. Freshness-stamped. Included in RivalSweeper plans (developer API keys: 2 credits, no da

• get_homepage_top_links

  A brand's current homepage top links (up to 10) enriched from its catalog and grouped into Products, Categories and Content, in that order. Per link: title, vendor, price + compare-at/on-sale, currency, stock status, URL status (active/inactive), review rating, homepage position,

• get_ai_agent_readiness_score

  RivalSweeper 6-pillar AI/agent-readiness score for a domain (schema.org, technical access, content quality, trust, AI-specific, entity recognition) with tier and highlights. Uniquely RivalSweeper data. Included in RivalSweeper plans (developer API keys: 1 credit, no data = no cha

• get_full_brand_snapshot

  Bundle: all current signals for one brand-day - promotions, price stats + samples, AI-readiness - in one call. Included in RivalSweeper plans (developer API keys: 15 credits, no data = no charge).

• get_my_usage_and_plan

  Your own account status. Signed in with RivalSweeper: your plan, tool calls used this month vs. the plan limit, and the domains you can query. Developer API key: prepaid credit balance plus calls and credits per tool over a look-back window (default 30 days). Free; only ever retu

• get_significant_competitor_changes

  Recent significant changes for a competitor: price drops/increases >10%, new promotions, stock-status flips. Returns a chronological alert feed with a summary. Configurable window (1-90 days, default 7). Included in RivalSweeper plans (developer API keys: 2 credits, no data = no

• request_missing_data_signal

  Tell RivalSweeper exactly what signal you need for a domain. For a signal that is missing for a domain or that RivalSweeper does not track yet. We prioritize data collection based on demand. Free and non-billable.

• request_new_brand_monitoring

  Add a rival domain to monitoring. Signed in with RivalSweeper: adds it to your monitored rivals right away (company Admins only; your plan or trial domain limit applies), with first data within about 24h. Developer API keys: queues a monitoring request (needs a positive prepaid b

• list_my_tracked_brands

  The brands in your RivalSweeper account: your own site(s) and the rival brands you monitor, with status: the domains this connector can answer for.

• get_cross_channel_ads_overview

  Cross-channel ads picture (Meta, Google and others) for your brand vs rivals: live and new ads, reach, channel mix, 12 weeks of launches per channel and placement, coordinated pushes, gaps vs you, the Google country matrix, Meta placement concentration, and prioritized insights w

• get_meta_ads_reach_messages_and_landing_pages

  Everything on the app's Meta Ads tab for your brand vs rivals, untrimmed: reach (accounts that saw the ads, UK/EU only) and reach by market, all top ads by reach and by days running plus ended long-runners (full copy, links), hook angles with what each brand tests vs funds, hooks

• get_google_ads_shopping_targeting_and_creatives

  Everything on the app's Google Ads tab for your brand vs rivals, untrimmed: live, new and stopped ads, every country, Google Shopping, formats, targeting, creative freshness (median ad age, weekly series), all topics, where ads show, reach, alerts, advertiser accounts. Name exact

• get_brand_radar_assortment_gaps

  Weekly Brand Radar for your store vs rivals: brands you are missing (white space), where you lead (moat), depth gaps, price position and discount pressure per brand. For multi-brand retailers; returns no data for single-brand stores.

• get_homepage_product_shelf_and_markdowns

  Which products each brand keeps on its homepage and for how long (persistence = share of the observed days on the homepage, slots, best position), with price, currency and markdown, plus the categories it features - a read on what brands are pushing. Window in days (7-365, defaul

• get_newly_published_products_and_pages

  Products and pages RivalSweeper first found on each brand's site (sitemaps and catalog feeds) in the last N days, newest first, interleaved across brands. Shopify variant URLs are folded into their product, and a product that only gained new sizes/colours is labelled so. Each ite

• get_technology_stack

  The technology each brand runs, per brand: e-commerce platform first, then payments, cross-border, email/SMS, reviews and loyalty, search and personalisation, customer service, shipping, analytics, advertising, consent/security and infrastructure, each with its category names. So

• get_email_newsletter_insights

  A brand's email newsletter patterns: cadence, send times, themes and offers, from RivalSweeper's newsletter tracking.

• get_social_media_channels_and_followers

  Social network presence per brand: channels, followers and posting cadence.

• get_competitor_moves_feed

  What your rivals changed, newest first: technology and providers, shipping, ads, marketing messages, AI citations, agent readiness, hiring, performance, bestsellers, Terms / privacy / return / shipping policy and other info page changes (type 'Content Pages', with the number of c

• get_predicted_competitor_moves

  RivalSweeper's weekly prediction cards for each tracked rival, as on the Predictions page: what just happened, what is coming up (e.g. Black Friday on last year's timing) and where their ads outpace you. Each card has the why, a suggested move with its date, and dated proof (rece

• get_upcoming_events_news_and_activity

  Your dashboard agenda: upcoming holidays and retail events in the countries your brands ship to, news mentions (7 days) and recent catalog activity per brand.

• get_my_rivalsweeper_todo_list

  Action items RivalSweeper raised for your team (e.g. fix a broken ad landing page, respond to a rival promotion), with priority, status, owner and due date. Default: pending items.

• find_ads_with_broken_pages_or_expired_offers

  Ad & Deal Health, untrimmed: every live ad that points to a broken or out-of-stock page, promotes an expired offer, keeps an evergreen 'urgency' claim, or could not be checked, plus expired homepage banners, with the full ad text, links, landing check and product read. Checks you

• get_discount_frequency_and_depth

  How often and how deep each brand discounts, over a window (7-365 days, default 30), from two separate readings: homepage_banner = days a promotion banner was on the brand's homepage (read from our homepage captures; 'not_measured' when we hold no capture in the window), and prod

• get_most_discounted_products

  A brand's most-discounted products right now (by % or amount) or its newest discounts, with price, full price and discount.

• get_how_ai_models_describe_brand

  How large language models describe a brand when asked shopping questions, by aspect: brand_reputation, competitor_comparison, product_recommendation, brand_review, industry_landscape, brand_sentiment, recommendation_gap. RivalSweeper currently samples Google Gemini and OpenAI's o

• get_brand_swot_analysis

  RivalSweeper's SWOT analysis of a brand over time: strengths, weaknesses, opportunities and threats, and how they changed.

• get_homepage_analysis

  RivalSweeper's analysis of a brand's homepage: what it features and emphasizes, offers and messaging, and how it compares with rivals.

• get_product_page_analysis

  RivalSweeper's analysis of a brand's product pages: the tactics they use (content, imagery, trust signals, offers, cross-sell).

• get_catalog_analysis

  RivalSweeper's analysis of a brand's product catalog: assortment, categories and pricing structure.

• get_customer_reviews_analysis

  RivalSweeper's analysis of a brand's customer reviews: recurring themes, sentiment, praise and complaints.

• get_ai_model_citation_rate

  Whether AI models mention each brand in their answers, split by question kind: brand_named = questions that name the brand ("What do you know about X?", "Compare X with its competitors": shows whether models know the brand, not whether they recommend it unprompted) and unbranded

• get_ai_shopping_agent_checkout_race

  RivalSweeper's weekly race of AI shopping agents buying the same product from your store and rivals: which stores an agent could complete checkout on, where it got stuck, KPIs and findings.

• get_job_openings_and_hiring_trends

  Open roles per brand by department and location, change vs last check, top job titles and newly added or removed jobs - an early read on where a rival is investing.

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

• ! 注意

  作者与仓库一致

  注册中心没有列出源代码仓库，因此无法将发布者（rivalsweeper.com）与代码对应起来

• … 尚未检查

  仍在维护

  我们还没有从 GitHub 读取这个仓库

• … 尚未检查

  有许可证

  我们还没有从 GitHub 读取这个仓库

• ✓ 通过

  端点有响应

  在 905 毫秒内响应（HTTP 200）

• – 不适用

  使用 OAuth 登录

  无需登录

• ✓ 通过

  工具描述中没有隐藏指令

  已读取 37 个工具描述，未发现针对 AI 的隐藏指令

与“网店与支付”中的其他服务器比较i

• 星标数多于此分类中其他 1753 个服务器的 0%
• 发布到注册中心的时间比此分类中其他 1753 个服务器的 75% 更新
• 基础检查结果等于或优于此分类中其他 1753 个服务器的 47%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

作者的 README

仓库中没有找到 README