{"uid":"cap_XvBQ7l-TQqrpoPv-hNwCN","slug":"customer-enquiries-string-normalisation-base-100-series-10eb3ad6","name":"Customer Enquiries — String Normalisation + Base-100 Series","description":"Customer enquiries — String normalisation + Base-100 series: String normalisation + Base-100 series for supplied customer enquiries records (enquiry_count, resolution_minutes). 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-retail-11-030?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","store_group","date","enquiry_count","resolution_minutes"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"store_group":{"type":"string","default":"","maxLength":80},"enquiry_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"resolution_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","store_group":"group-a","enquiry_count":10,"resolution_minutes":1},{"date":"2026-10-02","row_id":"row-2","store_group":"group-b","enquiry_count":20,"resolution_minutes":2},{"date":"2026-10-03","row_id":"row-3","store_group":"group-a","enquiry_count":15,"resolution_minutes":3},{"date":"2026-10-04","row_id":"row-4","store_group":"group-b","enquiry_count":30,"resolution_minutes":4}],"maxItems":200,"minItems":1},"field":{"enum":["enquiry_count","resolution_minutes"],"type":"string","default":"enquiry_count"},"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_a12tkC3d90-W9Z4ySxMmH","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":"Normalises customer enquiry data and computes Base-100 index series for enquiry_count or resolution_minutes across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Can you run string normalisation and a Base-100 index series on my customer enquiry data — I have 12 rows with enquiry_count and resolution_minutes per store group, and I want to index on enquiry_count starting from row 0?","exampleUseCases":[{"title":"Retail store enquiry trend indexing","prompt":"I have daily enquiry counts for two store groups over the past month — about 60 rows — can you normalise the data and produce a Base-100 series starting from day 0 so I can compare trends across groups?"},{"title":"Resolution time benchmarking across stores","prompt":"Take these 80 rows of customer service records with resolution_minutes and store_group, run string normalisation and give me a Base-100 index series on resolution_minutes with base index at row 0 so I can see how resolution times trend relative to a baseline."},{"title":"Quarterly enquiry volume analysis","prompt":"I've got 150 rows of customer enquiry records by date and store group — can you normalise the strings and compute a Base-100 series on enquiry_count indexed from row 0 to get two clean analytical reports out of this data?"}],"resultDescription":"Two analytical reports: (1) a string-normalised representation of the supplied customer enquiry rows, and (2) a Base-100 index series for the selected field (enquiry_count or resolution_minutes) anchored to the specified base row, covering up to 200 input rows.","failureModes":["More than 200 rows submitted — request rejected at max limit","Invalid date format (not YYYY-MM-DD) causes row validation failure","base_index out of range (0–199) relative to submitted row count","Null values in enquiry_count or resolution_minutes may affect index computation","Missing required row fields (row_id, store_group, date) cause schema validation errors"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and a Base-100 index series on retail customer enquiry data (enquiry_count or resolution_minutes) in a single low-cost call, without requiring live lookups, predictions, or external data enrichment. Ideal for batch offline analytics on up to 200 rows of structured enquiry records at minimal cost ($0.01 USDC for two reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:50:39.394Z","isFirstParty":false,"canonicalSlug":"customer-enquiries-string-normalisation-base-100-series-10eb3ad6"}