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sh.alchemylab.horizon/briefing
serveur MCP (Model Context Protocol) · horizon 1.0.0
Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur.
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Au dernier audit MCP Hub, le serveur MCP « sh.alchemylab.horizon/briefing » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.
Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.
Les 11 outils
- get_blind_spots≈ 478 tokens
Coverage blind spots: companies, models, and people that regional press (Chinese/East-Asian, European, Latin-American) is covering while Western/global feeds are not — ranked, with per-region item counts. Answers "what is Western tech media missing right now?". Measured within Horizon's corpus: "invisible" means zero pickup in the Western feeds Horizon tracks, not a claim about all media.
Paramètres, retour & exemple (2)
Paramètresdays· number · optionnel
Lookback window in days (default 60, 7–180).limit· number · optionnel
Max entities (default 15, cap 50).
Exemple d'appel{"name": "get_blind_spots", "arguments": {"days": 1, "limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"provider": {}, "blindSpots": []}} - get_china_signal≈ 438 tokens
Shortcut for get_region_signal with region "china": the current China & East-Asia AI signal (Qwen, DeepSeek, Zhipu, Moonshot, ModelScope, and more) that Western feeds often miss — ranked by momentum. Prefer get_region_signal if you may query more than one region.
Paramètres, retour & exemple (1)
Paramètreslimit· number · optionnel
Max items (default 15, cap 40).
Exemple d'appel{"name": "get_china_signal", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"items": [], "hasMore": true, "provider": {}, "nextCursor": "texte"}} - get_daily_briefing≈ 366 tokens
Today's aggregate AI industry briefing: top stories, emerging signals, new entrants, and regulation updates, distilled from HN/Reddit and official legislative sources. A curated once-daily synthesis — for raw item-level updates since your last check, use get_new_since instead. Optionally pass any past date (YYYY-MM-DD) — the full briefing archive is public.
Paramètres, retour & exemple (1)
Paramètresdate· string · optionnel
Optional YYYY-MM-DD for a past briefing (any date in the archive); omit for the latest briefing.
Exemple d'appel{"name": "get_daily_briefing", "arguments": {"date": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"briefing": {}, "provider": {}}} - get_entity_provenance≈ 259 tokens
For one company, model, or person: how much of the claim activity Horizon holds provenance data for is self-reported by that entity versus independently evaluated by someone else. Descriptive counts over the last 30 days — not a score, and not a judgement about whether any claim is true. Answers "is the buzz around X coming from X?".
Paramètres, retour & exemple (1)
Paramètresentity· string · requis
Entity name, e.g. 'Qwen 3.8' or 'Anthropic'.
Exemple d'appel{"name": "get_entity_provenance", "arguments": {"entity": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"entity": "texte", "provenance": {}}} - get_new_since≈ 494 tokens
Incremental poll: raw item-level AI news added since a cursor, oldest→newest, with a nextCursor for your next call — use this for "what's new since I last checked"; for the curated once-daily synthesis use get_daily_briefing. Omit cursor for the latest items plus a cursor to start polling from. Titles + links + topics (bodies and higher limits are on the paid tier).
Paramètres, retour & exemple (2)
Paramètreslimit· number · optionnel
Max items (default 25, cap 50).cursor· string · optionnel
Opaque cursor from a previous call's nextCursor. Omit on the first call.
Exemple d'appel{"name": "get_new_since", "arguments": {"limit": 1, "cursor": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"items": [], "hasMore": true, "provider": {}, "nextCursor": "texte"}} - get_region_signal≈ 494 tokens
The current AI signal for a region (china, korea, japan, or eu) — recent, relevance-scored items on that region's models, labs, and analysis, ranked by momentum. Includes local-language press translated into English. The canonical regional tool; get_china_signal is a preset of this with region "china". Returns titles, sources, and links.
Paramètres, retour & exemple (2)
Paramètreslimit· number · optionnel
Max items (default 15, cap 40).region· string · requis · china | korea | japan | eu
Region slug (china, korea, japan, eu).
Exemple d'appel{"name": "get_region_signal", "arguments": {"region": "china"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"items": [], "hasMore": true, "provider": {}, "nextCursor": "texte"}} - get_regulation_updates≈ 420 tokens
Current AI legislation headlines across the US Congress and federal agencies, US state legislatures, the UK Parliament, and the EU, with each item's legislative stage (proposed / committee / floor action / passed / implementation). State bills are the largest share by far; filter with jurisdiction to narrow.
Paramètres, retour & exemple (2)
Paramètreslimit· number · optionnel
Max headlines (default 50, cap 100).jurisdiction· string · optionnel · us_federal | us_state | uk | eu
Optional filter to one jurisdiction.
Exemple d'appel{"name": "get_regulation_updates", "arguments": {"limit": 1, "jurisdiction": "us_federal"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"items": [], "provider": {}}} - get_related≈ 446 tokens
Semantic 'more like this': given an item id (from get_new_since, search_news, or the feed), returns the most similar recent items by embedding similarity. Titles, sources, similarity scores, links.
Paramètres, retour & exemple (2)
Paramètresid· string · requis
UUID of an item from a previous result.limit· number · optionnel
Max related items (default 10, cap 25).
Exemple d'appel{"name": "get_related", "arguments": {"id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"items": [], "hasMore": true, "provider": {}, "nextCursor": "texte"}} - get_topic_signal≈ 460 tokens
The current AI signal for a topic — recent, relevance-scored items tagged with that topic, ranked by momentum. Like get_region_signal but sliced by subject instead of geography.
Paramètres, retour & exemple (2)
Paramètreslimit· number · optionnel
Max items (default 15, cap 40).topic· string · requis · models | tools | use-cases | regulation | research | funding | opinion | tutorial
Topic slug.
Exemple d'appel{"name": "get_topic_signal", "arguments": {"topic": "models"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"items": [], "hasMore": true, "provider": {}, "nextCursor": "texte"}} - list_sources≈ 250 tokens
Describe what Horizon covers: ingestion sources with their source= filter values, the regional lenses (region= / dedicated tools), and how to filter. Call this to understand the corpus before querying.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "list_sources", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"overview": "texte", "provider": {}}} - search_news≈ 412 tokens
Quick teaser search over recent AI news: returns the top 3 matching titles with links. Full-text search with bodies, filters, and history requires a Horizon subscription.
Paramètres, retour & exemple (1)
Paramètresquery· string · requis
Search terms.
Exemple d'appel{"name": "search_news", "arguments": {"query": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"items": [], "hasMore": true, "provider": {}, "nextCursor": "texte"}}
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