AgentShop — 2023 World Economy Yearbook Report is a paid API for AI agents from reportbazaar.app.workbuddy.host, paid per call via x402, $0.23/call, status unknown (last checked 2026-09-29).
Fetches a structured macroeconomic yearbook report covering 20 economies across 5 key indicators from 2019–2023, payable per-fetch in USDC via x402.
Machine-to-machine macroeconomic report API. Pay per fetch in USDC over x402. No accounts, no API keys.
Returns a structured macroeconomic report covering 20 economies across GDP (current US$), GDP growth, inflation, unemployment, and total population for 2019–2023. Includes key findings, ranking tables, group share breakdowns, trend lines with R², volatility scores, and a data-quality disclosure. Available in html, json, csv (long panel), or summary-csv (one row per economy) formats.
GEThttps://reportbazaar.app.workbuddy.host/report/yearbook-2023?utm_source=zero.xyzChoose this endpoint when you need machine-readable macroeconomic panel data (GDP, inflation, unemployment, population) for 20 major economies over 2019–2023, without needing an API key or account. It is ideal for agent workflows that can execute x402 micropayments in USDC and need structured output in json, csv, or html format. Prefer this over subscription data providers when per-call billing is acceptable and you want zero-registration access to a prebuilt yearbook report.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"years": "2019:2023",
"schema": "/schema/report.json",
"formats": [
"html",
"json",
"csv",
"summary-csv"
],
"contains": [
"key findings",
"ranking table",
"share of group total",
"trend with R²",
"volatility",
"full year-by-year matrix",
"coverage and data-quality disclosure"
],
"economies": 20,
"indicators": [
"NY.GDP.MKTP.CD",
"NY.GDP.MKTP.KD.ZG",
"FP.CPI.TOTL.ZG",
"SL.UEM.TOTL.ZS",
"SP.POP.TOTL"
],
"contentType": "text/html",
"description": "2023 Yearbook — World Economy, 2019-2023",
"freePreview": "/preview/yearbook-2023",
"indicatorsLabel": [
"GDP (current US$)",
"GDP growth (annual %)",
"Inflation, consumer prices (annual %)",
"Unemployment, total (% of labor force)",
"Total population"
]
}
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