{"uid":"cap_AgQl8u719u2yyODCo_rUF","slug":"metadata-completeness-keyed-dataset-comparison-explicit-missing-value-6a5633df","name":"Metadata Completeness — Keyed Dataset Comparison + Explicit Missing-Value Fill","description":"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 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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.","exampleAgentPrompt":"Compare these two sets of metadata completeness records — the primary dataset and a second dataset — across site groups A and B for dates in October 2026, using present_fields as the key metric, and give me both a keyed comparison report and a missing-value fill report for up to 200 rows.","exampleUseCases":[{"title":"Data catalog completeness audit","prompt":"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?"},{"title":"Multi-site metadata gap analysis","prompt":"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."},{"title":"Date-series metadata coverage tracking","prompt":"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."}],"resultDescription":"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.","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:38:40.657Z","isFirstParty":false,"canonicalSlug":"metadata-completeness-keyed-dataset-comparison-explicit-missing-value-6a5633df"}