Antevo Executive Brief

What the Antevo Executive connector exposes. No account required.

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  "type": "object",
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  "title": "list_capabilitiesArguments"
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{
  "type": "object",
  "title": "list_capabilitiesDictOutput"
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The Antevo Executive Brief — today's editorial read on markets and world events: the hero takeaway, the regime, the themes that matter, key risks and a market snapshot. Pass as_of (YYYY-MM-DD) to retrieve the brief as it was published on a past date. scope: 'retail' or 'institutional'. The full brief is large; pass `sections` (comma-separated) to fetch only what you need — e.g. 'hero,regime,what_matters' for a quick read, 'signal' for the probability layer, or 'plain_language' for the desk's own jargon-free rendering (headline, decode, signal_read, theme_reads).

{
  "type": "object",
  "properties": {
    "scope": {
      "default": "retail",
      "title": "scope",
      "type": "string"
    },
    "as_of": {
      "default": null,
      "title": "as_of",
      "type": "string"
    },
    "market": {
      "default": "global",
      "title": "market",
      "type": "string"
    },
    "sections": {
      "default": null,
      "title": "sections",
      "type": "string"
    }
  },
  "title": "get_executive_briefArguments"
}

{
  "type": "object",
  "title": "get_executive_briefDictOutput"
}

The archive of past Executive Briefs, newest first — each with its date, title, subtitle and hero line. Use this to see what has been covered, to find the date of a story, or to follow how a theme developed over time, then call get_executive_note for the full text of a given day.

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  "type": "object",
  "properties": {
    "limit": {
      "default": 30,
      "title": "limit",
      "type": "string"
    },
    "market": {
      "default": "global",
      "title": "market",
      "type": "string"
    }
  },
  "title": "list_executive_notesArguments"
}

{
  "type": "object",
  "title": "list_executive_notesDictOutput"
}

One dated Executive Brief in full (YYYY-MM-DD) — the permanent record of what was published that day. Use after list_executive_notes to read a specific day, or to answer 'what did we say about X back then?'.

{
  "type": "object",
  "properties": {
    "as_of": {
      "title": "as_of",
      "type": "string"
    },
    "scope": {
      "default": "retail",
      "title": "scope",
      "type": "string"
    },
    "market": {
      "default": "global",
      "title": "market",
      "type": "string"
    }
  },
  "required": [
    "as_of"
  ],
  "title": "get_executive_noteArguments"
}

{
  "type": "object",
  "title": "get_executive_noteDictOutput"
}

The longer-form desk read for today — analysis and research notes.

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

{
  "type": "object",
  "title": "get_executive_deskDictOutput"
}

Where markets stand right now — indices, FX, commodities, crypto.

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

{
  "type": "object",
  "title": "get_market_snapshotDictOutput"
}

Major indices with recent history — use days_back (1..365, default 30) to see how markets have moved over a period.

{
  "type": "object",
  "properties": {
    "days_back": {
      "default": 30,
      "title": "days_back",
      "type": "string"
    }
  },
  "title": "get_indicesArguments"
}

{
  "type": "object",
  "title": "get_indicesDictOutput"
}

Geopolitical events over a look-back window (days_back 1..90, default 7) — conflict, chokepoints, sanctions and related signals. The public cut. Pass layers to narrow — waterways, armed_conflicts, hotspots, regulatory, cyber, sanctions — comma-separated. All six together run large and two of them truncate; ask for one or two and those come back much deeper. row_limits on the response says what was in force, so you can tell a layer that ended from one that was cut off. Three reference layers are opt-in and not in the default set: submarine_cables (routes and landing points), disasters (USGS, GDACS, EONET) and displacement (UNHCR, by origin and corridor). Name them to get them.

{
  "type": "object",
  "properties": {
    "days_back": {
      "default": 7,
      "title": "days_back",
      "type": "string"
    },
    "layers": {
      "default": null,
      "title": "layers",
      "type": "string"
    }
  },
  "title": "get_world_eventsArguments"
}

{
  "type": "object",
  "title": "get_world_eventsDictOutput"
}

The risk radar — what the Antevo Executive Brief judges could go wrong from here, each with its trend, impact, probability and why it matters, plus the regime it sits in and the indicators that would confirm or kill it. Pass as_of (YYYY-MM-DD) for the radar as it stood on a past date. For how risks have DEVELOPED over weeks, use track_risk_evolution.

{
  "type": "object",
  "properties": {
    "as_of": {
      "default": null,
      "title": "as_of",
      "type": "string"
    },
    "scope": {
      "default": "retail",
      "title": "scope",
      "type": "string"
    },
    "market": {
      "default": "global",
      "title": "market",
      "type": "string"
    }
  },
  "title": "get_risk_radarArguments"
}

{
  "type": "object",
  "title": "get_risk_radarDictOutput"
}

Every risk radar the brief published over recent weeks, in one call — each dated board with its regime and its risks, oldest first. Use this to see which risks are new, which have been carried for weeks, which dropped off, and how their trend, impact and probability moved. Read the boards in order and group the risks yourself: the brief rephrases the same risk every day, so match them by meaning, not wording. days_back 7..90, default 30. detail trades size for depth: 'counts' for grades only (chart the board), 'titles' to also group themes, 'full' (default) to also read why each risk matters — a 90-day pull is roughly a third the size at 'counts'.

{
  "type": "object",
  "properties": {
    "days_back": {
      "default": 30,
      "title": "days_back",
      "type": "string"
    },
    "scope": {
      "default": "retail",
      "title": "scope",
      "type": "string"
    },
    "market": {
      "default": "global",
      "title": "market",
      "type": "string"
    },
    "detail": {
      "default": "full",
      "title": "detail",
      "type": "string"
    }
  },
  "title": "track_risk_evolutionArguments"
}

{
  "type": "object",
  "title": "track_risk_evolutionDictOutput"
}

The forward calendar — dated events the Executive Brief is watching (data prints, decisions, deadlines), each with the signal to read from it and its category. Use days_ahead (1..90, default 14) to set the horizon. Answers 'what's coming up that could move things?'

{
  "type": "object",
  "properties": {
    "days_ahead": {
      "default": 14,
      "title": "days_ahead",
      "type": "string"
    },
    "scope": {
      "default": "retail",
      "title": "scope",
      "type": "string"
    },
    "market": {
      "default": "global",
      "title": "market",
      "type": "string"
    }
  },
  "title": "get_catalystsArguments"
}

{
  "type": "object",
  "title": "get_catalystsDictOutput"
}

Find a macro-economic series by name or country — CPI, policy and market interest rates, equity indices, house prices, industrial production, commodities. Covers 180 countries, some back to 1920. Returns each series' ticker and the span it actually covers; pass the ticker to get_macro_series. `country` takes either a name ('Switzerland') or an ISO-3 code ('CHE'). Search first: there are tens of thousands of series and they cannot be listed.

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  "type": "object",
  "properties": {
    "query": {
      "title": "query",
      "type": "string"
    },
    "country": {
      "default": "",
      "title": "country",
      "type": "string"
    },
    "limit": {
      "default": 25,
      "title": "limit",
      "type": "string"
    }
  },
  "required": [
    "query"
  ],
  "title": "search_macro_indicatorsArguments"
}

{
  "type": "object",
  "title": "search_macro_indicatorsDictOutput"
}

What the Antevo desk writes on beyond the daily brief — shipping, aviation, yachts, energy, infrastructure, real estate, commodities, geopolitics, AI and technology, energy transition, demographics, generational wealth, succession planning, art. Each with the date of its most recent note. Pass an area to get_coverage.

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

{
  "type": "object",
  "title": "list_coverageDictOutput"
}

One macro series by ticker, newest first, with the date of its most recent observation stated on the response. These are QUARTERLY levels and they lag — the newest point is a quarter end, never today. Use search_macro_indicators to find the ticker. Optional since/until (YYYY-MM-DD) narrow the window.

{
  "type": "object",
  "properties": {
    "ticker": {
      "title": "ticker",
      "type": "string"
    },
    "since": {
      "default": "",
      "title": "since",
      "type": "string"
    },
    "until": {
      "default": "",
      "title": "until",
      "type": "string"
    },
    "limit": {
      "default": 120,
      "title": "limit",
      "type": "string"
    }
  },
  "required": [
    "ticker"
  ],
  "title": "get_macro_seriesArguments"
}

{
  "type": "object",
  "title": "get_macro_seriesDictOutput"
}

One coverage area's note in full — for example real-assets-shipping or real-assets-aviation. scope 'retail' (default) or 'institutional'; the institutional read is longer and assumes more. Optional as_of (YYYY-MM-DD) for a past edition, newest otherwise. Cheaper and more direct than pulling the whole brief to read one theme. Call list_coverage for the areas and their dates.

{
  "type": "object",
  "properties": {
    "area": {
      "title": "area",
      "type": "string"
    },
    "scope": {
      "default": "retail",
      "title": "scope",
      "type": "string"
    },
    "as_of": {
      "default": "",
      "title": "as_of",
      "type": "string"
    }
  },
  "required": [
    "area"
  ],
  "title": "get_coverageArguments"
}

{
  "type": "object",
  "title": "get_coverageDictOutput"
}