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Research Grant Spending — String Normalisation + Two-Measure Correlation
x402
Research Grant Spending — String Normalisation + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Performs string normalisation and two-measure correlation analysis on research grant spending records (budget_amount, spend_amount) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Research grant spending — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation for supplied research grant spending records (budget_amount, spend_amount). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two independent analytical reports: (1) a string normalisation report covering the course_group field across all submitted rows, and (2) a two-measure correlation report quantifying the statistical relationship between budget_amount and spend_amount across the dataset. No external lookups or predictions are made; all analysis uses local analytical engines on the supplied data.
Example use cases
Audit grant budget vs actual spend
“I have 80 rows of research grant spending data with course groups, dates, budget amounts, and spend amounts — can you normalize the group names and tell me how correlated the budget and spend figures are across all rows?”
Clean category labels in education grants
“Our grant records have inconsistent course_group strings like 'Eng.', 'Engineering', and 'eng' — can you normalize those and also run a correlation between budget_amount and spend_amount on the 120 rows I'm sending?”
Quarterly research spend correlation report
“I need to analyze this quarter's research grant data — about 150 rows — normalize the course group labels and generate a two-measure correlation report between what was budgeted and what was actually spent.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-20-033?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular research grant spending data with course group labels and need both string/label normalisation and a budget-vs-spend correlation analysis in a single low-cost call. It is best suited for offline or batch analytical workflows on up to 200 rows where no live data lookup, prediction, or external action is required. At $0.01 USDC for two reports, it is cost-effective for lightweight education finance analytics.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, budget_amount, spend_amount) cause row-level rejection
- Malformed date strings not matching YYYY-MM-DD pattern fail schema validation
- Null values for both budget_amount and spend_amount in a row may reduce correlation reliability
- Empty rows array (minItems:1 violated) returns a schema error
- Values outside ±1,000,000,000,000 range are rejected by schema
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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