{"uid":"cap_8N2cVzrrMqe8c0mhQuQBy","slug":"office-supplies-string-normalisation-base-100-series-analyzer-4de25759","name":"Office Supplies String Normalisation + Base-100 Series Analyzer","description":"Office supplies — String normalisation + Base-100 series: String normalisation + Base-100 series for supplied office supplies records (issued_units, received_units). 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.","url":"https://market.datapackvibe.com/x402/assistant-ib26-operations-24-030?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_BgwibEssT7VBVca-77ZGd","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":"Normalizes string fields and computes Base-100 index series for office supplies records tracking issued and received units, producing two analytical reports for up to 200 rows.","exampleAgentPrompt":"Normalize the team_group strings and compute a Base-100 series on issued_units for my office supplies data — here are 4 rows: row-1 on 2026-10-01 for group-a with 10 issued and 1 received, row-2 on 2026-10-02 for group-b with 20 issued and 2 received, row-3 on 2026-10-03 for group-a with 15 issued and 3 received, row-4 on 2026-10-04 for group-b with 30 issued and 4 received — use row index 0 as the base.","exampleUseCases":[{"title":"Monthly supply issuance trend indexing","prompt":"I have 30 rows of daily office supply issuance records for October — can you normalize the team group names and build a Base-100 index series on issued_units using the first row as the base? I want to see how issuance trended relative to day one."},{"title":"Received units benchmark by team","prompt":"Run a Base-100 series on received_units for my office supplies data across groups A and B for Q4, using row index 5 as the baseline, and clean up any inconsistent team_group string formatting while you're at it."},{"title":"Cross-team supply audit normalization","prompt":"We have 150 rows of office supply records with messy team names and I need both a string normalisation report and a Base-100 index on issued_units starting from the very first record — can you generate both reports?"}],"resultDescription":"Two analytical reports: (1) a string normalisation report cleaning team_group and other text fields across the submitted rows, and (2) a Base-100 index series for the selected numeric field (issued_units or received_units) relative to the specified base row index — covering up to 200 rows of office supplies data per call.","failureModes":["More than 200 rows submitted — request rejected with validation error","Missing required fields (row_id, date, issued_units, received_units) — row rejected or error returned","Invalid date format (not YYYY-MM-DD) — validation failure","base_index out of range for submitted row count — error or fallback to index 0","Numeric values outside allowed range (±1,000,000,000,000) — validation rejection","Payment not completed via x402 protocol — endpoint not served"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and Base-100 index series analysis on office supplies records (issued_units or received_units) in a single low-cost call. It is purpose-built for operations teams tracking supply distribution by team group over time, where cleaning text fields and benchmarking numeric trends relative to a base row are the primary analytical needs. Prefer it over generic data processing tools when your dataset is under 200 rows and you want two bundled reports for $0.01 USDC without external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:38:04.898Z","isFirstParty":false,"canonicalSlug":"office-supplies-string-normalisation-base-100-series-analyzer-4de25759"}