RivalSweeper Signals
37 eCommerce competitor-intel tools: prices, promos, ads, AI visibility. Plan-included or prepaid.
| Endpoint | https://mcp.rivalsweeper.com/mcp (streamable-http) |
|---|---|
| Registry version | 1.8.0 |
| Now | 37 tools · grade B (85) · pin ts_ae72b10ce75c89eb1e814a293ea06094 · protocol 2025-06-18 |
| First / last listed | 2026-11-07 01:22 UTC / 2026-11-07 01:22 UTC |
| Grade over time | 2026-11-07: B (85), 37 tools |
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Tools: check_brand_data_coverage get_active_promotions_and_coupons get_brand_price_statistics find_closest_competitor_brands get_homepage_top_links get_ai_agent_readiness_score get_full_brand_snapshot get_my_usage_and_plan get_significant_competitor_changes request_missing_data_signal request_new_brand_monitoring list_my_tracked_brands get_cross_channel_ads_overview get_meta_ads_reach_messages_and_landing_pages get_google_ads_shopping_targeting_and_creatives get_brand_radar_assortment_gaps get_homepage_product_shelf_and_markdowns get_newly_published_products_and_pages get_technology_stack get_email_newsletter_insights get_social_media_channels_and_followers get_competitor_moves_feed get_predicted_competitor_moves get_upcoming_events_news_and_activity get_my_rivalsweeper_todo_list find_ads_with_broken_pages_or_expired_offers get_discount_frequency_and_depth get_most_discounted_products get_how_ai_models_describe_brand get_brand_swot_analysis get_homepage_analysis get_product_page_analysis get_catalog_analysis get_customer_reviews_analysis get_ai_model_citation_rate get_ai_shopping_agent_checkout_race get_job_openings_and_hiring_trends
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 large catalogs these come from a sample and are marked records_approximate). A signal is available exactly when its too params: domain* |
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 on public coupon sites, not tested at checkout). Freshness-stamped. Included in RivalSweeper plans (developer API keys: 1 params: domain* |
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 flags catalogs where most prices are older. Included in RivalSweeper plans (developer API keys: 1 credit, no data = no char params: domain*, query, limit |
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 data = no charge). params: domain* |
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, anchor text and last update. A top-level 'comment' flags when pricing and/or stock status are not captured for the doma params: domain* |
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 charge). params: domain* |
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). params: domain* |
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 returns your own usage. params: days |
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 charge). params: domain*, days |
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. params: domain*, signal*, note |
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 balance; first data in 24-72h). Free. params: domain* |
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. params: none |
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 with suggested actions. Full data, nothing trimmed. params: domains |
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 by country with every angle count, the punch of each analysed ad read from the creative itself (image, carousel cards o params: domains, sections |
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 exactly one brand to also get its Google creatives, 200 per page (creatives_offset for the next page; `total` tells how many params: domains, country, creatives_offset |
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. params: owned_domain |
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, default 90). params: domains, days |
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 item has its tags (names), first_seen (when RivalSweeper first found it: usually within a day of publication, not the brand params: domains, days, limit |
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. Social networks the site links to are listed apart (a profile link is not a tool the store runs). Up to 40 technologies pe params: domains, max_per_brand |
get_email_newsletter_insights | A brand's email newsletter patterns: cadence, send times, themes and offers, from RivalSweeper's newsletter tracking. params: domain* |
get_social_media_channels_and_followers | Social network presence per brand: channels, followers and posting cadence. params: domains |
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 changes per page), and more (RivalSweeper's Domain Moves feed). Default last 7 days. params: domains, days, limit |
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 (receipts, article links). params: none |
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. params: domains |
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. params: status, limit |
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 your own store by default, or one named rival. params: domain |
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 product_markdowns = products whose price, read in the window, is below their full price, with average and max markdown %, in params: domains, days |
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. params: domains*, sort, limit |
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 open-weight GPT-OSS models. params: domain*, aspect* |
get_brand_swot_analysis | RivalSweeper's SWOT analysis of a brand over time: strengths, weaknesses, opportunities and threats, and how they changed. params: domain* |
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. params: domain* |
get_product_page_analysis | RivalSweeper's analysis of a brand's product pages: the tactics they use (content, imagery, trust signals, offers, cross-sell). params: domain* |
get_catalog_analysis | RivalSweeper's analysis of a brand's product catalog: assortment, categories and pricing structure. params: domain* |
get_customer_reviews_analysis | RivalSweeper's analysis of a brand's customer reviews: recurring themes, sentiment, praise and complaints. params: domain* |
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 = shopping questions that do not name it (the recommendation test). Each with rate, by model (and the platform serving i params: domains |
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. params: none |
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. params: domains |
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