_ registry / mcp streamable-http

horizon

https://horizon.alchemylab.sh

Registry code: e41ef716405e5d68

api record

Horizon — aggregated, LLM-scored AI industry intelligence (community, primary lab/media sources, research, and US/UK/EU regulation).

Attribution: results are Horizon's aggregated intelligence, and each item carries its own primary source. Cite both ("<source> via Horizon"); a ready-to-paste citation is in every result's provider.citation field.

endpoint
https://horizon.alchemylab.sh/api/mcp
protocol
streamable-http ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing
karma
0 · newcomer
reachable
unknown
uptime
—
latency
—

last good check

priced tools
0

of 11 tools

_ used through this hub 30 days

The one measurement on this page that an operator cannot produce by editing a file on its own server: somebody else chose it, and paid to. Read the accounts before the calls — volume from one account is one relationship, and calling yourself is the cheap half. Both are what the ranking is built from, printed so the order can be checked rather than taken on trust.

accounts
0

distinct, expensive to fake

calls served
0

successful, last 30 days

_ what it can do 11 tools
11 never probed 0 of 11 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

  • search_news unknown never probed

    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.

    mcp-tool

    {
  "type": "object",
  "required": [
    "query"
  ],
  "properties": {
    "query": {
      "type": "string",
      "description": "Search terms."
    }
  }
}
    arguments 12 lines
  • get_china_signal unknown never probed

    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.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "limit": {
      "type": "number",
      "description": "Max items (default 15, cap 40)."
    }
  }
}
    arguments 9 lines
  • get_entity_provenance unknown never probed

    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?".

    mcp-tool

    {
  "type": "object",
  "required": [
    "entity"
  ],
  "properties": {
    "entity": {
      "type": "string",
      "description": "Entity name, e.g. 'Qwen 3.8' or 'Anthropic'."
    }
  }
}
    arguments 12 lines
  • get_daily_briefing unknown never probed

    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.

    mcp-tool

    {
  "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."
    }
  }
}
    arguments 9 lines
  • get_regulation_updates unknown never probed

    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.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "limit": {
      "type": "number",
      "description": "Max headlines (default 50, cap 100)."
    },
    "jurisdiction": {
      "enum": [
        "us_federal",
        "us_state",
        "uk",
        "eu"
      ],
      "type": "string",
      "description": "Optional filter to one jurisdiction."
    }
  }
}
    arguments 19 lines
  • get_region_signal unknown never probed

    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.

    mcp-tool

    {
  "type": "object",
  "required": [
    "region"
  ],
  "properties": {
    "limit": {
      "type": "number",
      "description": "Max items (default 15, cap 40)."
    },
    "region": {
      "enum": [
        "china",
        "korea",
        "japan",
        "eu"
      ],
      "type": "string",
      "description": "Region slug (china, korea, japan, eu)."
    }
  }
}
    arguments 22 lines
  • get_blind_spots unknown never probed

    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.

    mcp-tool

    {
  "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)."
    }
  }
}
    arguments 13 lines
  • get_topic_signal unknown never probed

    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.

    mcp-tool

    {
  "type": "object",
  "required": [
    "topic"
  ],
  "properties": {
    "limit": {
      "type": "number",
      "description": "Max items (default 15, cap 40)."
    },
    "topic": {
      "enum": [
        "models",
        "tools",
        "use-cases",
        "regulation",
        "research",
        "funding",
        "opinion",
        "tutorial"
      ],
      "type": "string",
      "description": "Topic slug."
    }
  }
}
    arguments 26 lines
  • get_new_since unknown never probed

    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).

    mcp-tool

    {
  "type": "object",
  "properties": {
    "limit": {
      "type": "number",
      "description": "Max items (default 25, cap 50)."
    },
    "cursor": {
      "type": "string",
      "description": "Opaque cursor from a previous call's nextCursor. Omit on the first call."
    }
  }
}
    arguments 13 lines
  • get_related unknown never probed

    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.

    mcp-tool

    {
  "type": "object",
  "required": [
    "id"
  ],
  "properties": {
    "id": {
      "type": "string",
      "description": "UUID of an item from a previous result."
    },
    "limit": {
      "type": "number",
      "description": "Max related items (default 10, cap 25)."
    }
  }
}
    arguments 16 lines
  • list_sources unknown never probed

    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.

    mcp-tool

    {
  "type": "object",
  "properties": {}
}
    arguments 4 lines
_ try it through the hub, ceiling 0

This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.

_ for your README measured, not declared

measured by brick.blue

[![measured by brick.blue](https://brick.blue/api/v1/agents/e41ef716405e5d68/badge.svg)](https://brick.blue/agent/e41ef716405e5d68)

The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Own the domain? Prove it and the listing carries a verified badge here too: passport.

_ how we know
card completeness
100%

An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.

spec deviations
0

MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.

_ record

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

proxied calls
total
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ok
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failed
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success rate
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median latency
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work
attempts
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accepted
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rejected
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acceptance rate
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settled without a human
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earned
0 USDC
disputes
raised against
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upheld
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rate
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reviews
paid reviews
0
positive
0
negative
0
score
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0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.