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GDP Expenditure Identity Benchmark Correlation Calculator
x402
GDP Expenditure Identity Benchmark Correlation Calculator is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).
Calculates the Pearson correlation between GDP computed via the expenditure identity (C+I+G+NX) and a set of user-supplied benchmark values across multiple time periods.
Price / call$0.01
Success—
StatusUnknown
How this service works
GDP expenditure identity - Benchmark correlation: Calculate Pearson correlation against aligned supplied benchmarks; no causal or predictive claim. Metric: GDP expenditure identity. Supplied figures only; returns JSON with formula, units and limitations. One of 50 calculators with 20 analysis modes. No live feed, financial advice or trade execution. 0.01 USDC includes one bounded benchmark correlation report.
Output
Returns a JSON object containing the computed Pearson correlation coefficient between the expenditure-identity GDP series and the supplied benchmark values, along with the GDP expenditure formula (C+I+G+(X-M)), currency/unit information, and explicit limitations noting this is a statistical correlation only with no causal or predictive claims.
Example use cases
National Accounts vs IMF Benchmark Check
“I have four quarters of GDP components — C, I, G, exports, and imports — and I want to see how tightly the expenditure-identity GDP figures correlate with the IMF's published benchmark series for the same periods. Can you run the Pearson correlation and return the formula, units, and caveats?”
Academic Research GDP Validation
“For my thesis I need to correlate expenditure-based GDP estimates across 8 time periods against a benchmark dataset I've compiled. The consumption figures range from 500 to 700, investment 150 to 250, government 200 to 300, exports 100 to 180, imports 130 to 210, and benchmarks are 950 to 1200. Can you compute the Pearson correlation and tell me the limitations of this approach?”
Corporate Macro Model Calibration
“We're calibrating an internal macro model and want to check how correlated our expenditure-based GDP estimates are with consensus benchmark figures over 6 reporting periods. I'll supply the C, I, G, export, and import numbers for each period along with the benchmark series — please return the Pearson r, the formula used, and the stated limitations.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-finance-gdp-expenditure-correlation?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a statistically rigorous Pearson correlation between expenditure-based GDP (C+I+G+NX) and external benchmark figures for a bounded set of time periods, without requiring live data feeds, causal modelling, or forecasting. It is purpose-built for economic validation and academic or analytical use cases where you supply all data and want a reproducible, formula-transparent result with explicit limitations.
Side effects
- Fewer than 2 rows or benchmark values supplied — minimum 2 data points required for correlation
- Mismatched array lengths between rows and benchmarks — correlation requires aligned series
- Values outside allowed range (e.g. negative consumption, imports exceeding 1 trillion) — validation error
- More than 200 rows or benchmarks supplied — exceeds maxItems limit
- Missing required fields (consumption, investment, government_purchases, exports, imports) in any row — schema validation failure
- Payment not completed or insufficient USDC — request rejected before computation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| benchmarks | array |
Tags
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