{"uid":"cap_2cHFndvUwmhJfCIdcc6bc","slug":"inventory-administration-string-normalisation-base-100-series-681e1721","name":"Inventory Administration — String Normalisation + Base-100 Series","description":"Inventory administration — String normalisation + Base-100 series: String normalisation + Base-100 series for supplied inventory administration records (count_sessions, discrepancy_count). 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-21-030?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},"field":{"enum":["count_sessions","discrepancy_count"],"type":"string","default":"count_sessions"},"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_fKIg1CNEb-CKydIjap3F4","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":"Applies string normalisation and base-100 indexing to inventory count session and discrepancy records, producing two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you run string normalisation and a base-100 series on my inventory administration data? I have 4 rows with count_sessions and discrepancy_count for teams group-a and group-b across dates 2026-10-01 to 2026-10-04, using count_sessions as the field and base index 0.","exampleUseCases":[{"title":"Warehouse team count session benchmarking","prompt":"I have daily inventory count session totals for three warehouse teams over the past month — can you normalise the team names and produce a base-100 index series on count_sessions starting from the first row so I can compare performance over time?"},{"title":"Discrepancy trend indexing for audit review","prompt":"Before our quarterly audit, I need to index our discrepancy_count figures on a base-100 scale across all team groups and dates — can you run the string normalisation and base-100 series report on my 150 inventory rows using discrepancy_count as the field and base index at position 0?"},{"title":"Multi-team inventory operations summary","prompt":"We have inventory records from four teams over the last week — can you normalise the team group strings and give me both a count_sessions and discrepancy_count base-100 series report for these 30 rows so we can spot which teams are trending up or down?"}],"resultDescription":"Two analytical reports per call: a string-normalised view of the supplied inventory administration records and a base-100 indexed series for the selected numeric field (count_sessions or discrepancy_count), covering up to 200 input rows. No external data is fetched; all analysis runs on the supplied data using local analytical engines.","failureModes":["More than 200 rows submitted — request rejected, maxItems limit exceeded","Missing required fields (row_id, team_group, date, count_sessions, discrepancy_count) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","base_index out of range (0–199) — validation error","Null values in numeric fields may affect base-100 calculation output","Empty rows array — minItems constraint violation"],"whenToPreferThis":"Choose this endpoint when you have pre-collected inventory administration records with count_sessions and discrepancy_count fields and need both string normalisation and base-100 index series computed locally without any live data lookups, predictions, or external calls. Best suited for up to 200 rows of team-grouped, date-stamped inventory data where you want two bundled analytical reports at minimal cost ($0.01 USDC).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T00:51:51.651Z","isFirstParty":false,"canonicalSlug":"inventory-administration-string-normalisation-base-100-series-681e1721"}