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Metadata Completeness — Keyed Dataset Comparison + Explicit Missing-Value Fill
x402
Metadata Completeness — Keyed Dataset Comparison + Explicit 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 2026-10-30).
Compares two keyed datasets of metadata completeness records (present_fields vs expected_fields) and fills missing values, producing 2 analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Metadata completeness — Keyed dataset comparison + Explicit missing-value fill: Keyed dataset comparison + Explicit missing-value fill for supplied metadata completeness records (present_fields, expected_fields). 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
Two analytical reports: (1) a keyed dataset comparison showing differences between the primary and secondary dataset rows matched by row_id, and (2) an explicit missing-value fill report replacing nulls in present_fields or expected_fields — all computed locally without any external lookups, covering up to 200 input rows.
Example use cases
Data catalog completeness audit
“I have two snapshots of our data catalog metadata from this week and last week — can you compare them row by row using present_fields, fill in any nulls, and tell me where coverage dropped across our site groups?”
Multi-site metadata gap analysis
“Run a keyed comparison of these two metadata completeness tables for our publishing sites — I want to see which rows have missing expected_fields values and get both comparison and fill reports for up to 150 rows.”
Date-series metadata coverage tracking
“Here are two batches of daily metadata completeness records (row_id, site_group, date, present_fields, expected_fields) from October 2026 — compare them, fill any missing values, and give me the two analytical reports so I can track how field coverage changes over time.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-05-190?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to compare two keyed metadata completeness datasets side-by-side and fill missing values in a single call, getting two distinct analytical reports. It is ideal for data quality auditing workflows where you track present_fields vs expected_fields across site groups and dates. Prefer it over generic analytics tools when you want a lightweight, cost-effective ($0.01 USDC) local computation with no external dependencies, latency, or data exposure.
Side effects
- More than 200 rows submitted — request exceeds maxItems limit and will be rejected
- Missing required fields (row_id, site_group, date, present_fields, or expected_fields) in any row — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- present_fields or expected_fields values outside allowed numeric range — rejected
- Empty rows array — minItems:1 constraint violated
- Payment of 0.01 USDC not provided — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| method | string |
Tags
x402
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