{"uid":"cap_qyhZdFA2zDwl9MHF7ya7p","slug":"inventory-administration-data-quality-suite-audit-normalize-deduplicate-67d0fe1e","name":"Inventory Administration Data Quality Suite — Audit, Normalize & Deduplicate","description":"Inventory administration — Record quality audit + String normalisation + Exact row deduplication: Record quality audit + String normalisation + Exact row deduplication for supplied inventory administration records (count_sessions, discrepancy_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-operations-21-191?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","team_group","date","count_sessions","discrepancy_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"team_group":{"type":"string","default":"","maxLength":80},"count_sessions":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"discrepancy_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","team_group":"group-a","count_sessions":10,"discrepancy_count":1},{"date":"2026-10-02","row_id":"row-2","team_group":"group-b","count_sessions":20,"discrepancy_count":2},{"date":"2026-10-03","row_id":"row-3","team_group":"group-a","count_sessions":15,"discrepancy_count":3},{"date":"2026-10-04","row_id":"row-4","team_group":"group-b","count_sessions":30,"discrepancy_count":4}],"maxItems":200,"minItems":1}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_ZMCtyRoOvWKw6osMsUxZ1","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Runs three local analytical reports on inventory session data: record quality audit, string normalization, and exact row deduplication for up to 200 rows.","exampleAgentPrompt":"Can you audit the quality, normalize the strings, and remove exact duplicate rows in my inventory session data? I have records with row_id, team_group, date, count_sessions, and discrepancy_count fields for groups like 'group-a' and 'group-b' across dates in October 2026 — up to about 50 rows.","exampleUseCases":[{"title":"Pre-reporting inventory data cleanup","prompt":"Before I generate this month's operations report, can you run a quality audit, string normalization, and exact deduplication on my inventory session records? I have about 80 rows with team_group, date, count_sessions, and discrepancy_count fields."},{"title":"Catching duplicate session entries","prompt":"My inventory tracking system may have logged some sessions twice — can you run an exact row deduplication check on these 120 rows of session data that include row_id, team_group, date, count_sessions, and discrepancy_count?"},{"title":"Normalizing team group naming inconsistencies","prompt":"Different team members have been entering group names inconsistently in our inventory admin data — can you normalize the strings and also audit record quality across these 60 rows so I know what needs fixing?"}],"resultDescription":"Three independent analytical reports delivered together: (1) a record quality audit flagging malformed, missing, or out-of-range values; (2) a string normalization report showing standardized versions of text fields like team_group; and (3) an exact row deduplication report identifying and removing fully duplicate rows. All analysis is performed locally with no external lookups or predictions.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, team_group, date, count_sessions, discrepancy_count) — validation error","Invalid date format (non-YYYY-MM-DD) — schema validation failure","Numeric fields outside allowed range (±1,000,000,000,000) — rejected","Empty rows array — minimum 1 item required"],"whenToPreferThis":"Choose this endpoint when you need three bundled data quality operations — audit, normalization, and deduplication — on inventory session records in a single low-cost call. Ideal for small-to-medium datasets (up to 200 rows) where you want offline, deterministic analysis without external dependencies. Best suited for inventory administration data specifically structured around team groups, session counts, and discrepancy counts.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:36.057Z","isFirstParty":false,"canonicalSlug":"inventory-administration-data-quality-suite-audit-normalize-deduplicate-67d0fe1e"}