{"uid":"cap_FIn328Hxdkgo9rFhlgOi6","slug":"office-supplies-record-quality-audit-string-normalisation-base-100-55e16e21","name":"Office Supplies Record Quality Audit + String Normalisation + Base-100 Series","description":"Office supplies — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 series for supplied office supplies records (issued_units, received_units). 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-24-201?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","team_group","date","issued_units","received_units"],"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},"issued_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"received_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","team_group":"group-a","issued_units":10,"received_units":1},{"date":"2026-10-02","row_id":"row-2","team_group":"group-b","issued_units":20,"received_units":2},{"date":"2026-10-03","row_id":"row-3","team_group":"group-a","issued_units":15,"received_units":3},{"date":"2026-10-04","row_id":"row-4","team_group":"group-b","issued_units":30,"received_units":4}],"maxItems":200,"minItems":1},"field":{"enum":["issued_units","received_units"],"type":"string","default":"issued_units"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_bB21JQseblnjEodYVGy8a","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 office supplies data: record quality audit, string normalisation, and base-100 index series for issued_units and received_units fields (up to 200 rows).","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and base-100 index series on my office supplies data? I have 50 rows with row_id, team_group, date, issued_units, and received_units — use issued_units as the field and row 0 as the base index.","exampleUseCases":[{"title":"Auditing supply data before reporting","prompt":"I need to check the quality of our office supplies records before sending them to finance — can you run a full quality audit, normalise the team group strings, and produce a base-100 index for issued_units across these 120 rows, starting from row 0?"},{"title":"Detecting nulls and bad strings in inventory","prompt":"We've got 80 rows of office supply tracking data and I'm worried there are missing values and inconsistent team names. Can you audit the records, normalise the strings, and index received_units from the first row so I can spot the issues?"},{"title":"Baseline comparison for issued units","prompt":"Can you take these 45 office supply rows and give me a base-100 series for issued_units starting at row 10, along with a quality audit and string normalisation for the team_group field?"}],"resultDescription":"Returns three independent reports: (1) a record quality audit flagging missing, null, or malformed values in the supplied rows; (2) string normalisation results for text fields such as team_group; (3) a base-100 index series for the selected numeric field (issued_units or received_units) anchored at the specified base_index row. All reports are computed locally with no external lookups.","failureModes":["More than 200 rows submitted — request rejected","Missing required fields (row_id, date, issued_units, received_units) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","base_index out of range (>=number of rows) — error returned","Null or non-numeric values in both numeric fields — limited analysis output","Empty rows array — error returned"],"whenToPreferThis":"Choose this endpoint when you have office supplies operational data (issued_units, received_units) and need three bundled analytical reports — quality audit, string normalisation, and base-100 indexing — in a single low-cost call. It is ideal for pre-reporting data validation, inventory reconciliation prep, or baseline trend analysis on small-to-medium datasets (up to 200 rows). Prefer this over generic data tools when you need all three report types together for supply data without external dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T00:42:28.089Z","isFirstParty":false,"canonicalSlug":"office-supplies-record-quality-audit-string-normalisation-base-100-55e16e21"}