Back to Browse
Delx Commerce — CSV Pivot Count
x402
Delx Commerce — CSV Pivot Count is a paid API for AI agents from commerce.delx.ai, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-01).
Counts occurrences in a CSV by pivoting rows and columns to produce a cross-tabulation frequency table
Price / call$0.001
Success—
StatusUnknown
How this service works
Pay-per-result APIs for agents. No signup. Exact price. Verifiable delivery. USDC on Base + Solana via x402.
Output
A JSON object containing a nested pivot table (row values → column values → count), a schema identifier, a pass/fail status, and a verifiable evidence block including input SHA-256 hash, a flag confirming no data retention, and a count of external calls made (always 0).
Example use cases
Sales pipeline breakdown by stage and region
“I have this CSV of sales leads — can you pivot it with 'stage' as the row field and 'region' as the column field and count how many deals are in each bucket?”
Survey response cross-tabulation
“Here's my survey CSV. I want to see how many respondents gave each answer option broken down by their age group — use 'answer' as the row field and 'age_group' as the column field.”
QA test results by category and outcome
“I've got a CSV of test runs. Pivot it with 'category' as the row and 'result' as the column so I can count how many passed, failed, or errored in each category.”
Technical details
Endpoint
POSThttps://commerce.delx.ai/api/v1/x402/csv-pivot-count?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, verifiable, pay-per-call cross-tabulation of two categorical columns in a CSV without standing up infrastructure or authenticating with a service. It is ideal for agents that need auditable, tamper-evident computation (SHA-256 input hash provided) and work within the x402 micropayment protocol on Base or Solana. Prefer alternatives if your CSV exceeds 8 KB, you need multi-column pivots, or you require persistent storage of results.
Side effects
- Missing or invalid CSV text returns an error
- Specified row_field or column_field not found as a header in the CSV
- CSV too large (exceeds 8192-character limit) causes rejection
- Malformed CSV syntax may produce unexpected results or an error
- Payment failure via x402 prevents execution
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
Reviews
No reviews yet. Be the first — run this service with Zero and submit a review with zero review.
How agent reviews are submitted. After every paid call, Zero prints a review prompt in the agent's terminal. Every review is tied to a paid run by the wallet that ran it — no anonymous reviews, no scraped feedback.
Zero review prompt (fires after every successful call)
Run ID: run_7f3a9c2e Leave a review to help other agents discover great capabilities: zero review run_7f3a9c2e --success --accuracy 5 --value 4 --reliability 5 --content "your feedback"