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127,264 tools. Last updated 2026-05-05 12:34

"Social Media Trend Analysis and Cultural Insights Platform" matching MCP tools:

  • Get entry page settings for a sweepstakes. Use fetch_sweepstakes first to get the sweepstakes_token. Returns all configuration: display, colors, spacing, entry settings, compliance, confirmation page, winners page, age gate, AMOE, geolocation, analytics, social media follows, sharing rewards, bonus entries, and sponsor profiles. Use this before update_entry_settings to see current values. # get_entry_settings ## When to use Get entry page settings for a sweepstakes. Use fetch_sweepstakes first to get the sweepstakes_token. Returns all configuration: display, colors, spacing, entry settings, compliance, confirmation page, winners page, age gate, AMOE, geolocation, analytics, social media follows, sharing rewards, bonus entries, and sponsor profiles. Use this before update_entry_settings to see current values. ## Pre-calls required 1. fetch_sweepstakes if the user gave you a sweepstakes name instead of a token ## Parameters to validate before calling - sweepstakes_token (string, required) — The sweepstakes token (UUID format)
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  • Analyze a prediction market question. Paste a Kalshi or Polymarket URL to get a research report with: - Cross-platform prices (up to 7 platforms) - AI probability estimates from multiple independent specialist agents - Expected Value matrix showing which platform × agent combo has the best edge - News sentiment and domain evidence (FDA, SEC, PubMed) - Agent win-rate history by domain Use this when: you need to know if a prediction market is mispriced, compare agent predictions, or decide where to place a bet. EXAMPLES: "https://kalshi.com/markets/KXFDA-26APR11-B" → FDA drug approval analysis "https://polymarket.com/event/will-trump-win-2028" → election analysis
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  • Generates a browser authorization URL for connecting a new social account to a project. This endpoint is useful for multi-user integrations where your application lets your own users, clients, or brands connect their social accounts to WoopSocial without giving them access to your WoopSocial account. A common flow is: 1. Create or select a WoopSocial project for your user, client, or brand. 2. Call this endpoint from your backend with that `projectId`, the target `platform`, and a `redirectUrl` in your application. 3. Open the returned `url` in your user's browser. 4. After OAuth completes, WoopSocial redirects the browser back to `redirectUrl` with result query parameters. 5. Use `projectId` and `socialAccountIds` from the redirect, or call `GET /social-accounts?projectId=...`, to store or confirm the connected account in your application. When `redirectUrl` is provided, the browser is redirected back to that URL after the OAuth callback is handled. On success, WoopSocial appends these query parameters to `redirectUrl`: - `status=success` - `projectId`: the project identifier from the request - `platform`: the connected social platform - `socialAccountIds`: comma-separated connected social account identifiers. This may contain one or more IDs depending on the platform OAuth flow. On failure, WoopSocial appends these query parameters to `redirectUrl`: - `status=error` - `projectId`: the project identifier from the request - `platform`: the requested social platform - `error`: an OAuth callback error code If the OAuth callback state is missing or expired, WoopSocial cannot safely determine the original `redirectUrl`, so the callback returns an HTTP error instead of redirecting. The redirect never includes OAuth tokens or credentials.
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  • List Amazon CPG categories with current product counts and trend direction. Use as the first call in any pricing-analysis workflow — returns the exact category names expected by other tools, plus product count and trend for each. Lightweight; safe to call before any category-specific query. Returns: categories (list of {name, product_count, trend_direction, last_refreshed}), note (summary of coverage), cta. Covers Grocery & Gourmet Food, Health & Beauty, Household, and Pet Supplies.
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  • <tool_description> Get aggregated performance report for a media buy. Shows spend, impressions, clicks, conversions with time-series breakdown. </tool_description> <when_to_use> To check campaign performance metrics after activation. Supports period filtering and granularity control. </when_to_use> <combination_hints> list_media_buys → get_campaign_report for performance analysis. Pair with get_compliance_status for full campaign overview. </combination_hints> <output_format> Totals (spend, impressions, clicks, conversions) + time-series breakdown. </output_format>
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  • <tool_description> List media buys with optional filters. View campaign history for advertisers or publishers. </tool_description> <when_to_use> To view existing media buys (campaigns). Filter by advertiser, publisher, status, or date. </when_to_use> <combination_hints> list_media_buys → get_campaign_report for performance data. list_media_buys → get_compliance_status for compliance check. </combination_hints> <output_format> List of media buys with ID, status, bid, budget, spent, and dates. </output_format>
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  • Semantic search across your analyzed media library. Returns ranked results with titles, summaries, transcript snippets, labels, and relevance scores. Use this to find previously analyzed media by topic, content, or keyword.
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  • Analyze a prediction market question. Paste a Kalshi or Polymarket URL to get a research report with: - Cross-platform prices (up to 7 platforms) - AI probability estimates from multiple independent specialist agents - Expected Value matrix showing which platform × agent combo has the best edge - News sentiment and domain evidence (FDA, SEC, PubMed) - Agent win-rate history by domain Use this when: you need to know if a prediction market is mispriced, compare agent predictions, or decide where to place a bet. EXAMPLES: "https://kalshi.com/markets/KXFDA-26APR11-B" → FDA drug approval analysis "https://polymarket.com/event/will-trump-win-2028" → election analysis
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  • Submit a publicly accessible or authorized media URL to Echosaw for asynchronous analysis without uploading the file directly. Returns a job ID used to track processing and retrieve results.
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  • Get detailed content requirements for a platform. Returns: Character limits, media specifications, rate limits, and special notes. Call this when you need specifics like exact character counts, file size limits, or supported formats. The publish_content description has a quick reference, but this tool provides complete details.
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  • Start a contact research job — AI gathers insights from LinkedIn and other sources asynchronously; use contacts.get_research to poll for results
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  • [Read] Search and analyze X/Twitter discussions for a topic, with tweet-level evidence and cited posts. Aggregate social mood, sentiment score, or positive/negative split -> get_social_sentiment. Open-web pages -> web_search. Multi-platform social search -> search_ugc.
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  • Get port congestion trend analysis — not just current congestion, but direction and trajectory. Returns how congestion has changed relative to historical baselines, identifies ports where congestion is accelerating, and flags ports approaching critical thresholds. Answers: 'Which ports are getting worse and how fast?' Used by logistics planners to reroute shipments before congestion peaks, and by importers to anticipate lead time extensions.
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  • Get port congestion trend analysis — not just current congestion, but direction and trajectory. Returns how congestion has changed relative to historical baselines, identifies ports where congestion is accelerating, and flags ports approaching critical thresholds. Answers: 'Which ports are getting worse and how fast?' Used by logistics planners to reroute shipments before congestion peaks, and by importers to anticipate lead time extensions.
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  • Aggregate social attention metrics across screens and time periods. Shows which venues and dayparts have the highest social amplification. Queries observation_stream for social attention data and aggregates by the requested dimension (venue, daypart, or screen), computing average SAF, average cascade depth, average viral attention score, and event count. WHEN TO USE: - Understanding which venues generate the most social amplification - Comparing daypart effectiveness for social contagion - Identifying top-performing screens for attention cascading - Planning campaigns that leverage social proof RETURNS: - data: Array of aggregated rows, sorted by avg SAF descending - group_key: the dimension value (venue type, daypart, or screen ID) - avg_saf: average social amplification factor - avg_cascade_depth: average attention cascade depth - avg_viral_attention_score: average viral attention score - event_count: number of social attention events in the group - metadata: { group_by, time_range, total_events } - suggested_next_queries: Follow-up queries EXAMPLE: User: "Which venues have the highest social amplification this week?" get_social_contagion_summary({ group_by: "venue", time_range: { start: "2026-03-09", end: "2026-03-16" } }) User: "Show me social attention by daypart over the last 7 days" get_social_contagion_summary({ group_by: "daypart" })
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  • Generate AI-powered platform-optimized content without publishing. Uses AI to create platform-specific text, hashtags, and titles from a prompt or media URL. Respects brand voice profiles if configured. Returns generated content variants for each target platform. Use publish_content to publish the generated content, or publish_ai to generate and publish in one step.
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  • Load technical analysis workflow with indicator interpretation guide and advanced query patterns. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL for complex queries when the user asks about RSI, MACD, moving averages, support/resistance, overbought/oversold, chart patterns, momentum, trend analysis, or entry/exit signals. Can be combined with other workflow tools.
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  • Aggregate OpenAlex entities into groups and count them. Use for trend analysis (group works by publication_year), distribution analysis (group by oa_status, type, country), and comparative analysis (group by institution or topic). Combine with filters to scope the analysis. Returns up to 200 groups per page — use cursor pagination for fields with many distinct values.
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  • <tool_description> Track delivery of an enriched snippet and bill the advertiser. Creates a ledger entry and decrements the media buy budget. </tool_description> <when_to_use> When an agent delivers enriched content from a media buy. Each delivery is billed by snippet tier: - basic: 10¢, standard: 50¢, rich: 150¢, premium: 300¢ (CHF centimes). </when_to_use> <combination_hints> activate (enriched_snippet buy) → track_enriched_snippet per delivery. get_campaign_report shows cumulative tracking. </combination_hints> <output_format> Event ID, charged amount, platform fee, net payout, remaining budget. </output_format>
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  • List all connected social media accounts (Threads and Bluesky) for the authenticated user. Returns provider ID, platform, username, display name, and profile picture for each account.
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