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Index beobachtet

Horizon AI Intelligence

Free AI-industry intelligence for agents: briefings, regulation tracker & regional lenses

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
98%
Vollständigkeit des Schemas
89%
Qualität der Benennung
100%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~3,796Tokens (Tool-Definitionen)
~3.3 KBTypische Antwortgröße
Erhebliche Auswirkung auf die Aufmerksamkeit (2.97% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "briefing": {
      "url": "https://horizon.alchemylab.sh/api/mcp"
    }
  }
}

Remote-Endpunkte

https://horizon.alchemylab.sh/api/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (11)

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🟢get_daily_briefing(date)

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.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "date": {
      "type": "string",
      "description": "Optional YYYY-MM-DD for a past briefing (any date in the archive); omit for the latest briefing."
    }
  }
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "briefing": {
      "type": "object",
      "properties": {
        "date": {
          "type": "string"
        },
        "generatedAt": {
          "type": "string"
        },
        "content": {
          "type": "object",
          "description": "topStories, emergingSignals, newEntrants, regulation, ..."
        }
      },
      "required": [
        "date",
        "content"
      ]
    },
    "provider": {
      "type": "object",
      "description": "Attribution — cite Horizon as the source of this intelligence (it aggregates the per-item primary sources). Present provider.citation to the user with provider.url.",
      "properties": {
        "name": {
          "type": "string"
        },
        "url": {
          "type": "string",
          "description": "Canonical Horizon page for this result."
        },
        "citation": {
          "type": "string",
          "description": "Ready-to-paste citation string."
        },
        "note": {
          "type": "string"
        }
      }
    }
  },
  "required": [
    "briefing",
    "provider"
  ]
}
🟢get_regulation_updates(jurisdiction, limit)

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.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "jurisdiction": {
      "type": "string",
      "enum": [
        "us_federal",
        "us_state",
        "uk",
        "eu"
      ],
      "description": "Optional filter to one jurisdiction."
    },
    "limit": {
      "type": "number",
      "description": "Max headlines (default 50, cap 100)."
    }
  }
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "items": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "title": {
            "type": "string"
          },
          "jurisdiction": {
            "type": "string",
            "description": "us_federal | us_state | uk | eu"
          },
          "stage": {
            "type": [
              "string",
              "null"
            ],
            "description": "Legislative stage as recorded from the source."
          },
          "lastUpdated": {
            "type": [
              "string",
              "null"
            ]
          },
          "sourceUrl": {
            "type": [
              "string",
              "null"
            ]
          }
        },
        "required": [
          "title",
          "jurisdiction"
        ]
      }
    },
    "provider": {
      "type": "object",
      "description": "Attribution — cite Horizon as the source of this intelligence (it aggregates the per-item primary sources). Present provider.citation to the user with provider.url.",
      "properties": {
        "name": {
          "type": "string"
        },
        "url": {
          "type": "string",
          "description": "Canonical Horizon page for this result."
        },
        "citation": {
          "type": "string",
          "description": "Ready-to-paste citation string."
        },
        "note": {
          "type": "string"
        }
      }
    }
  },
  "required": [
    "items",
    "provider"
  ]
}
🟢get_china_signal(limit)

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.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "limit": {
      "type": "number",
      "description": "Max items (default 15, cap 40)."
    }
  }
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "items": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string",
            "description": "Item UUID — pass to get_related."
          },
          "title": {
            "type": "string"
          },
          "url": {
            "type": [
              "string",
              "null"
            ]
          },
          "source": {
            "type": "string"
          },
          "publishedAt": {
            "type": "string",
            "description": "ISO 8601 timestamp."
          },
          "topics": {
            "type": "array",
            "items": {
              "type": "string"
            }
          },
          "similarity": {
            "type": "number",
            "description": "Cosine similarity (get_related only)."
          }
        },
        "required": [
          "title",
          "source",
          "publishedAt"
        ]
      }
    },
    "nextCursor": {
      "type": [
        "string",
        "null"
      ],
      "description": "get_new_since: pass back as cursor."
    },
    "hasMore": {
      "type": "boolean",
      "description": "get_new_since: more items available now."
    },
    "provider": {
      "type": "object",
      "description": "Attribution — cite Horizon as the source of this intelligence (it aggregates the per-item primary sources). Present provider.citation to the user with provider.url.",
      "properties": {
        "name": {
          "type": "string"
        },
        "url": {
          "type": "string",
          "description": "Canonical Horizon page for this result."
        },
        "citation": {
          "type": "string",
          "description": "Ready-to-paste citation string."
        },
        "note": {
          "type": "string"
        }
      }
    }
  },
  "required": [
    "items"
  ]
}
🟢get_region_signal(region, limit)

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.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "region": {
      "type": "string",
      "enum": [
        "china",
        "korea",
        "japan",
        "eu"
      ],
      "description": "Region slug (china, korea, japan, eu)."
    },
    "limit": {
      "type": "number",
      "description": "Max items (default 15, cap 40)."
    }
  },
  "required": [
    "region"
  ]
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "items": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string",
            "description": "Item UUID — pass to get_related."
          },
          "title": {
            "type": "string"
          },
          "url": {
            "type": [
              "string",
              "null"
            ]
          },
          "source": {
            "type": "string"
          },
          "publishedAt": {
            "type": "string",
            "description": "ISO 8601 timestamp."
          },
          "topics": {
            "type": "array",
            "items": {
              "type": "string"
            }
          },
          "similarity": {
            "type": "number",
            "description": "Cosine similarity (get_related only)."
          }
        },
        "required": [
          "title",
          "source",
          "publishedAt"
        ]
      }
    },
    "nextCursor": {
      "type": [
        "string",
        "null"
      ],
      "description": "get_new_since: pass back as cursor."
    },
    "hasMore": {
      "type": "boolean",
      "description": "get_new_since: more items available now."
    },
    "provider": {
      "type": "object",
      "description": "Attribution — cite Horizon as the source of this intelligence (it aggregates the per-item primary sources). Present provider.citation to the user with provider.url.",
      "properties": {
        "name": {
          "type": "string"
        },
        "url": {
          "type": "string",
          "description": "Canonical Horizon page for this result."
        },
        "citation": {
          "type": "string",
          "description": "Ready-to-paste citation string."
        },
        "note": {
          "type": "string"
        }
      }
    }
  },
  "required": [
    "items"
  ]
}
🟢get_entity_provenance(entity)

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?".

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "entity": {
      "type": "string",
      "description": "Entity name, e.g. 'Qwen 3.8' or 'Anthropic'."
    }
  },
  "required": [
    "entity"
  ]
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "entity": {
      "type": "string"
    },
    "provenance": {
      "type": [
        "object",
        "null"
      ],
      "description": "Null when fewer than 3 claims are held for this entity.",
      "properties": {
        "total": {
          "type": "number"
        },
        "selfReported": {
          "type": "number"
        },
        "evidenceLinked": {
          "type": "number"
        },
        "independent": {
          "type": "number"
        },
        "qualifier": {
          "type": [
            "string",
            "null"
          ]
        }
      }
    }
  }
}
🟢get_blind_spots(days, limit)

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.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "days": {
      "type": "number",
      "description": "Lookback window in days (default 60, 7–180)."
    },
    "limit": {
      "type": "number",
      "description": "Max entities (default 15, cap 50)."
    }
  }
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "blindSpots": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "entity": {
            "type": "string"
          },
          "kind": {
            "type": "string",
            "enum": [
              "company",
              "model",
              "person"
            ]
          },
          "regionalItems": {
            "type": "number",
            "description": "Items from regional press."
          },
          "globalItems": {
            "type": "number",
            "description": "Items from Western/global press."
          },
          "leadRegion": {
            "type": "string",
            "enum": [
              "china",
              "korea",
              "japan",
              "eu"
            ]
          },
          "status": {
            "type": "string",
            "enum": [
              "invisible",
              "under-covered"
            ],
            "description": "invisible = zero Western pickup in Horizon's corpus."
          }
        },
        "required": [
          "entity",
          "regionalItems",
          "globalItems",
          "leadRegion",
          "status"
        ]
      }
    },
    "provider": {
      "type": "object",
      "description": "Attribution — cite Horizon as the source of this intelligence (it aggregates the per-item primary sources). Present provider.citation to the user with provider.url.",
      "properties": {
        "name": {
          "type": "string"
        },
        "url": {
          "type": "string",
          "description": "Canonical Horizon page for this result."
        },
        "citation": {
          "type": "string",
          "description": "Ready-to-paste citation string."
        },
        "note": {
          "type": "string"
        }
      }
    }
  },
  "required": [
    "blindSpots"
  ]
}
🟢get_topic_signal(topic, limit)

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.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "topic": {
      "type": "string",
      "enum": [
        "models",
        "tools",
        "use-cases",
        "regulation",
        "research",
        "funding",
        "opinion",
        "tutorial"
      ],
      "description": "Topic slug."
    },
    "limit": {
      "type": "number",
      "description": "Max items (default 15, cap 40)."
    }
  },
  "required": [
    "topic"
  ]
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "items": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string",
            "description": "Item UUID — pass to get_related."
          },
          "title": {
            "type": "string"
          },
          "url": {
            "type": [
              "string",
              "null"
            ]
          },
          "source": {
            "type": "string"
          },
          "publishedAt": {
            "type": "string",
            "description": "ISO 8601 timestamp."
          },
          "topics": {
            "type": "array",
            "items": {
              "type": "string"
            }
          },
          "similarity": {
            "type": "number",
            "description": "Cosine similarity (get_related only)."
          }
        },
        "required": [
          "title",
          "source",
          "publishedAt"
        ]
      }
    },
    "nextCursor": {
      "type": [
        "string",
        "null"
      ],
      "description": "get_new_since: pass back as cursor."
    },
    "hasMore": {
      "type": "boolean",
      "description": "get_new_since: more items available now."
    },
    "provider": {
      "type": "object",
      "description": "Attribution — cite Horizon as the source of this intelligence (it aggregates the per-item primary sources). Present provider.citation to the user with provider.url.",
      "properties": {
        "name": {
          "type": "string"
        },
        "url": {
          "type": "string",
          "description": "Canonical Horizon page for this result."
        },
        "citation": {
          "type": "string",
          "description": "Ready-to-paste citation string."
        },
        "note": {
          "type": "string"
        }
      }
    }
  },
  "required": [
    "items"
  ]
}
🟢search_news(query)

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.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Search terms."
    }
  },
  "required": [
    "query"
  ]
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "items": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string",
            "description": "Item UUID — pass to get_related."
          },
          "title": {
            "type": "string"
          },
          "url": {
            "type": [
              "string",
              "null"
            ]
          },
          "source": {
            "type": "string"
          },
          "publishedAt": {
            "type": "string",
            "description": "ISO 8601 timestamp."
          },
          "topics": {
            "type": "array",
            "items": {
              "type": "string"
            }
          },
          "similarity": {
            "type": "number",
            "description": "Cosine similarity (get_related only)."
          }
        },
        "required": [
          "title",
          "source",
          "publishedAt"
        ]
      }
    },
    "nextCursor": {
      "type": [
        "string",
        "null"
      ],
      "description": "get_new_since: pass back as cursor."
    },
    "hasMore": {
      "type": "boolean",
      "description": "get_new_since: more items available now."
    },
    "provider": {
      "type": "object",
      "description": "Attribution — cite Horizon as the source of this intelligence (it aggregates the per-item primary sources). Present provider.citation to the user with provider.url.",
      "properties": {
        "name": {
          "type": "string"
        },
        "url": {
          "type": "string",
          "description": "Canonical Horizon page for this result."
        },
        "citation": {
          "type": "string",
          "description": "Ready-to-paste citation string."
        },
        "note": {
          "type": "string"
        }
      }
    }
  },
  "required": [
    "items"
  ]
}
🟢get_new_since(cursor, limit)

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).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "cursor": {
      "type": "string",
      "description": "Opaque cursor from a previous call's nextCursor. Omit on the first call."
    },
    "limit": {
      "type": "number",
      "description": "Max items (default 25, cap 50)."
    }
  }
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "items": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string",
            "description": "Item UUID — pass to get_related."
          },
          "title": {
            "type": "string"
          },
          "url": {
            "type": [
              "string",
              "null"
            ]
          },
          "source": {
            "type": "string"
          },
          "publishedAt": {
            "type": "string",
            "description": "ISO 8601 timestamp."
          },
          "topics": {
            "type": "array",
            "items": {
              "type": "string"
            }
          },
          "similarity": {
            "type": "number",
            "description": "Cosine similarity (get_related only)."
          }
        },
        "required": [
          "title",
          "source",
          "publishedAt"
        ]
      }
    },
    "nextCursor": {
      "type": [
        "string",
        "null"
      ],
      "description": "get_new_since: pass back as cursor."
    },
    "hasMore": {
      "type": "boolean",
      "description": "get_new_since: more items available now."
    },
    "provider": {
      "type": "object",
      "description": "Attribution — cite Horizon as the source of this intelligence (it aggregates the per-item primary sources). Present provider.citation to the user with provider.url.",
      "properties": {
        "name": {
          "type": "string"
        },
        "url": {
          "type": "string",
          "description": "Canonical Horizon page for this result."
        },
        "citation": {
          "type": "string",
          "description": "Ready-to-paste citation string."
        },
        "note": {
          "type": "string"
        }
      }
    }
  },
  "required": [
    "items"
  ]
}
🟢get_related(id, limit)

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.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string",
      "description": "UUID of an item from a previous result."
    },
    "limit": {
      "type": "number",
      "description": "Max related items (default 10, cap 25)."
    }
  },
  "required": [
    "id"
  ]
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "items": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string",
            "description": "Item UUID — pass to get_related."
          },
          "title": {
            "type": "string"
          },
          "url": {
            "type": [
              "string",
              "null"
            ]
          },
          "source": {
            "type": "string"
          },
          "publishedAt": {
            "type": "string",
            "description": "ISO 8601 timestamp."
          },
          "topics": {
            "type": "array",
            "items": {
              "type": "string"
            }
          },
          "similarity": {
            "type": "number",
            "description": "Cosine similarity (get_related only)."
          }
        },
        "required": [
          "title",
          "source",
          "publishedAt"
        ]
      }
    },
    "nextCursor": {
      "type": [
        "string",
        "null"
      ],
      "description": "get_new_since: pass back as cursor."
    },
    "hasMore": {
      "type": "boolean",
      "description": "get_new_since: more items available now."
    },
    "provider": {
      "type": "object",
      "description": "Attribution — cite Horizon as the source of this intelligence (it aggregates the per-item primary sources). Present provider.citation to the user with provider.url.",
      "properties": {
        "name": {
          "type": "string"
        },
        "url": {
          "type": "string",
          "description": "Canonical Horizon page for this result."
        },
        "citation": {
          "type": "string",
          "description": "Ready-to-paste citation string."
        },
        "note": {
          "type": "string"
        }
      }
    }
  },
  "required": [
    "items"
  ]
}
🟢list_sources

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.

Eingabe-Schema

{
  "type": "object",
  "properties": {}
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "overview": {
      "type": "string",
      "description": "The same markdown as the text block."
    },
    "provider": {
      "type": "object",
      "description": "Attribution — cite Horizon as the source of this intelligence (it aggregates the per-item primary sources). Present provider.citation to the user with provider.url.",
      "properties": {
        "name": {
          "type": "string"
        },
        "url": {
          "type": "string",
          "description": "Canonical Horizon page for this result."
        },
        "citation": {
          "type": "string",
          "description": "Ready-to-paste citation string."
        },
        "note": {
          "type": "string"
        }
      }
    }
  },
  "required": [
    "overview",
    "provider"
  ]
}

Empfohlene Prompts

search_research
Search for information about [topic] using Horizon AI Intelligence
Erwartete Tools: search_news
find_specific
Find [specific item] using Horizon AI Intelligence
Erwartete Tools: search_news
retrieve_data
Get details about [item] from Horizon AI Intelligence
Erwartete Tools: get_daily_briefing
fetch_info
Fetch [information type] using Horizon AI Intelligence
Erwartete Tools: get_daily_briefing
list_items
List all [items] available in Horizon AI Intelligence
Erwartete Tools: list_sources

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