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Record Routing Analytics — Equal-Width Histogram & Missing-Value Fill
x402
Record Routing Analytics — Equal-Width Histogram & Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Generates equal-width histogram and explicit missing-value fill reports for accepted_records and rejected_records fields in record routing data (up to 200 rows).
Price / call$0.01
Success—
StatusUnknown
How this service works
Record routing — Equal-width histogram + Explicit missing-value fill: Equal-width histogram + Explicit missing-value fill for supplied record routing records (accepted_records, rejected_records). 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 analytical reports: (1) an equal-width histogram report showing bin edges and counts for the chosen field (accepted_records or rejected_records) across up to 200 rows, and (2) an explicit missing-value fill report showing which rows had null values and what imputed values were substituted using the chosen method (zero, mean, or median).
Example use cases
Pipeline quality distribution review
“I have my ETL pipeline's daily routing logs for the past 3 months with accepted_records and rejected_records per dataset group — can you build an equal-width histogram with 8 bins for rejected_records and fill any nulls with the mean?”
Missing data imputation before reporting
“My record routing export has some null values in accepted_records — run a missing-value fill using zero fill and give me a histogram with 5 bins so I can see the distribution before I hand this off to the reporting team.”
Multi-group routing acceptance audit
“I want to compare how accepted records are distributed across my dataset groups A and B — give me an equal-width histogram with 15 bins for accepted_records and use median to fill any gaps in the data.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-175?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, local statistical summary of record routing data — specifically equal-width histogram binning and missing-value imputation — without any external lookups or ML predictions. Ideal for data engineers validating pipeline outputs, analysts exploring acceptance/rejection distributions, or automated QA workflows that need lightweight in-process analytics at low cost ($0.01 per call). Prefer this over general-purpose analytics APIs when your dataset fits within 200 rows and you specifically need histogram + null-fill reports on accepted_records or rejected_records fields.
Side effects
- Rows array is empty or missing — returns validation error
- More than 200 rows submitted — rejected with maxItems error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- bins value outside 1–30 range — rejected with schema error
- Unknown fill method enum value — schema validation failure
- row_id missing or empty — rejected with minLength error
- Numeric values outside ±1,000,000,000,000 range — schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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