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CSV Pivot Count
x402
CSV Pivot Count is a paid API for AI agents from api.delx.ai, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-15).
Builds a count-based pivot table from CSV text using specified row and column category fields, returning normalized counts as versioned deterministic JSON.
Price / call$0.001
Success—
StatusUnknown
How this service works
CSV Pivot Count: CSV Pivot Count builds a count pivot from row and column category fields from bounded caller-supplied values without an external provider. Call CSV Pivot Count before an agent hands structured data or a batch plan to a downstream tool with a stricter contract. Returns the bounded transformation or validation finding with counts, normalized values, and a versioned result contract for CSV Pivot Count as versioned deterministic JSON. Price: $0.001 USDC via x402 on Base. First-part…
Output
Returns a versioned deterministic JSON object containing the count pivot table with cross-tabulated frequencies for each row/column category combination, normalized values, and a versioned result contract identifying the transformation.
Example use cases
Sales data cross-tab by region
“I have a CSV of sales transactions. Can you pivot-count them with 'region' as rows and 'product_category' as columns so I can see the frequency of each combination?”
Survey response frequency table
“Here's my survey CSV — build a count pivot table using 'age_group' as the row field and 'response_rating' as the column field so I can see how each age group answered.”
Pre-flight data validation before downstream tool
“Before I send this structured CSV to the reporting pipeline, pivot-count it by 'department' rows and 'status' columns so I can verify the category distribution looks right.”
Technical details
Endpoint
POSThttps://api.delx.ai/api/v1/x402/csv-pivot-countWhen to prefer
Use this endpoint when you need a deterministic, bounded count pivot from two categorical fields in CSV data without relying on an external analytics provider. It is ideal as a pre-flight step before handing structured data to a downstream tool with a strict schema contract, or when you need a reproducible, versioned cross-tabulation result for lightweight in-memory aggregation on small-to-medium CSV inputs.
Side effects
- Missing or invalid row_field or column_field names not found in the CSV header — returns validation error
- CSV text exceeds 8192 character limit — truncated or rejected
- Malformed CSV input that cannot be parsed — returns parsing error
- Empty CSV with no data rows — returns empty pivot with zero counts
- Payment failure via x402 — returns 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | Text supplied to CSV Pivot Count; used only for this bounded calculation and processed in memory without retention. |
| row_field | string | Row Field supplied to CSV Pivot Count; used only for this bounded calculation and processed in memory without retention. |
| column_field | string | Column Field supplied to CSV Pivot Count; used only for this bounded calculation and processed in memory without retention. |
Output
Schema · Response
{
"type": "json",
"example": {
"result": {
"pivot": {
"a": {
"ok": 1,
"bad": 1
},
"b": {
"ok": 1
}
}
},
"schema": "delx/util-csv-pivot-count/v1",
"status": "pass",
"evidence": {
"retained": false,
"input_sha256": "a7d65f7e6ad53c38ed0da2d98857916e403a9b41abcade8314874497f4fdcd7b",
"external_calls": 0
},
"operation": "data_batch:csv_pivot_count"
}
}Tags
x402
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