Aard · Schema
AskRequest
Request body for POST /v1/ask: one flat JSON object of tool arguments. Unknown names are rejected with 400 invalid_request, and the `detail` then lists every accepted name.
Artificial IntelligenceDataMacroeconomicsMCP
Properties
| Name | Type | Description |
|---|---|---|
| question | string | Natural-language data question, e.g. "What is infant mortality in Kenya?" |
| agencies | object | Named publisher codes (e.g. ["ESTAT", "OECD"]); not the question's geography. |
| language | string | ISO language code for search. |
| keywords | object | Optional graph-search term overrides; normally inferred from the question. |
| time_range | string | Requested period, e.g. "2020-2024", "since 2015", "last 5 years". |
| geography | object | Places the question is about, e.g. ["Australia"], ["European Union"]. Used to demote wrong-geography candidates in ranking; not a hard agency filter and not a URL filter. |
| user_country | string | The country the user is in (e.g. "New Zealand"). Pass only when they have stated where they are; never infer it. Not the geography the question is about — that is `geography`. |
| topic | string | Optional subject or metric of the question (e.g. "child labour", "GDP") to sharpen ranking. |
| currency | object | Currency names or codes; not geographic phrases such as "euro area". |
| product | object | Commodity or product names the question is about, e.g. "wheat", "copper". |
| scalar | boolean | Prefer a series that yields a single observation. |
| top_n | integer | Number of ranked candidates to prepare. Clamped to 1–100, not refused. |
| cross_source | boolean | Also find structurally analogous datasets at other agencies. |
| precision | string | Request breadth: "point" (one observation), "series" (headline series defaults) or "cube" (the full cube). |
| strict_time | boolean | Drop candidates whose coverage is provably disjoint from `time_range`; unknown coverage is kept. |
| labels | boolean | Request the publisher's labelled CSV where supported. Labelled rows run roughly 2-4x the plain bytes; pass false to halve the download. |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://artifacts.apis.io/aard-ai/json-schema/aard-ai-ask-request-schema.json",
"title": "AskRequest",
"description": "Request body for POST /v1/ask: one flat JSON object of tool arguments. Unknown names are rejected with 400 invalid_request, and the `detail` then lists every accepted name.",
"x-generated": "2026-10-31",
"x-method": "derived",
"x-generator": "derive-json-schema.py",
"x-source": "openapi/aard-ai-openapi.json#/components/schemas/AskRequest",
"type": "object",
"properties": {
"question": {
"type": "string",
"minLength": 1,
"pattern": "\\S",
"description": "Natural-language data question, e.g. \"What is infant mortality in Kenya?\""
},
"agencies": {
"oneOf": [
{
"type": "string"
},
{
"type": "array",
"items": {
"type": "string"
}
}
],
"description": "Named publisher codes (e.g. [\"ESTAT\", \"OECD\"]); not the question's geography."
},
"language": {
"type": "string",
"minLength": 1,
"pattern": "\\S",
"description": "ISO language code for search.",
"default": "en"
},
"keywords": {
"oneOf": [
{
"type": "string"
},
{
"type": "array",
"items": {
"type": "string"
}
}
],
"description": "Optional graph-search term overrides; normally inferred from the question."
},
"time_range": {
"type": "string",
"minLength": 1,
"pattern": "\\S",
"description": "Requested period, e.g. \"2020-2024\", \"since 2015\", \"last 5 years\"."
},
"geography": {
"oneOf": [
{
"type": "string"
},
{
"type": "array",
"items": {
"type": "string"
}
}
],
"description": "Places the question is about, e.g. [\"Australia\"], [\"European Union\"]. Used to demote wrong-geography candidates in ranking; not a hard agency filter and not a URL filter."
},
"user_country": {
"type": "string",
"minLength": 1,
"pattern": "\\S",
"description": "The country the user is in (e.g. \"New Zealand\"). Pass only when they have stated where they are; never infer it. Not the geography the question is about — that is `geography`."
},
"topic": {
"type": "string",
"minLength": 1,
"pattern": "\\S",
"description": "Optional subject or metric of the question (e.g. \"child labour\", \"GDP\") to sharpen ranking."
},
"currency": {
"oneOf": [
{
"type": "string"
},
{
"type": "array",
"items": {
"type": "string"
}
}
],
"description": "Currency names or codes; not geographic phrases such as \"euro area\"."
},
"product": {
"oneOf": [
{
"type": "string"
},
{
"type": "array",
"items": {
"type": "string"
}
}
],
"description": "Commodity or product names the question is about, e.g. \"wheat\", \"copper\"."
},
"scalar": {
"type": "boolean",
"description": "Prefer a series that yields a single observation.",
"default": false
},
"top_n": {
"type": "integer",
"description": "Number of ranked candidates to prepare. Clamped to 1–100, not refused.",
"default": 5
},
"cross_source": {
"type": "boolean",
"description": "Also find structurally analogous datasets at other agencies.",
"default": false
},
"precision": {
"type": "string",
"minLength": 1,
"pattern": "\\S",
"description": "Request breadth: \"point\" (one observation), \"series\" (headline series defaults) or \"cube\" (the full cube).",
"default": "series",
"enum": [
"point",
"series",
"cube"
]
},
"strict_time": {
"type": "boolean",
"description": "Drop candidates whose coverage is provably disjoint from `time_range`; unknown coverage is kept.",
"default": false
},
"labels": {
"type": "boolean",
"description": "Request the publisher's labelled CSV where supported. Labelled rows run roughly 2-4x the plain bytes; pass false to halve the download.",
"default": true
}
},
"additionalProperties": false,
"required": [
"question"
]
}
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