{"uid":"cap_XBgkguV94fJAYCSYy3PTm","slug":"procurement-research-string-normalisation-trailing-mean-series-56db8799","name":"Procurement Research — String Normalisation + Trailing Mean Series","description":"Procurement research — String normalisation + Trailing mean series: String normalisation + Trailing mean series for supplied procurement research records (quoted_amount, quoted_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-company-11-028?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","quoted_amount","quoted_units"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"quoted_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80},"quoted_amount":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","quoted_units":1,"company_group":"group-a","quoted_amount":10},{"date":"2026-10-02","row_id":"row-2","quoted_units":2,"company_group":"group-b","quoted_amount":20},{"date":"2026-10-03","row_id":"row-3","quoted_units":3,"company_group":"group-a","quoted_amount":15},{"date":"2026-10-04","row_id":"row-4","quoted_units":4,"company_group":"group-b","quoted_amount":30}],"maxItems":200,"minItems":1},"field":{"enum":["quoted_amount","quoted_units"],"type":"string","default":"quoted_amount"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_hmQiVPdkBZ0dtpoa5EJBh","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 trailing mean series analysis to up to 200 procurement research records for quoted_amount or quoted_units fields, returning two analytical reports.","exampleAgentPrompt":"Run string normalisation and a trailing mean series with a window of 3 on my procurement records — I have rows for group-a and group-b with dates from 2026-10-01 to 2026-10-04 and quoted_amount values of 10, 20, 15, and 30 — and analyse the quoted_amount field.","exampleUseCases":[{"title":"Supplier quote trend smoothing","prompt":"I have 50 procurement rows across three supplier groups from the last two months — can you normalize the quoted_amount strings and compute a trailing mean series with a window of 5 on quoted_amount so I can see smoothed price trends per group?"},{"title":"Unit volume rolling average","prompt":"Take these 120 procurement records with company_group, date, and quoted_units columns and give me a trailing mean series with window 10 on quoted_units alongside string normalization — I need to spot rolling volume trends."},{"title":"Procurement data QA and smoothing","prompt":"I've got 80 procurement rows from multiple company groups spanning 2025 — normalize the strings and compute a 4-period trailing mean on quoted_amount so I can clean up the data and understand the average spend trend."}],"resultDescription":"Two analytical reports: (1) a string normalisation report on the chosen field across the supplied procurement rows, and (2) a trailing mean series computed over the specified rolling window for the same field — both derived locally from the input data with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, company_group, date, quoted_amount, quoted_units) — validation error","Window size outside 2–200 range — schema validation failure","Invalid date format (must match YYYY-MM-DD) — pattern validation error","All values null for selected field — unable to compute meaningful series","Payment not completed — 402 response, no analysis returned"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and trailing mean series analytics on procurement data (quoted_amount or quoted_units) in a single low-cost call. It is ideal for batch offline analysis of up to 200 rows where no live market lookup, prediction, or external enrichment is required — just local, deterministic computation on your supplied records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:58.250Z","isFirstParty":false,"canonicalSlug":"procurement-research-string-normalisation-trailing-mean-series-56db8799"}