{"uid":"cap_CVeLf6mmiGD2SzFyJWclF","slug":"procurement-research-trailing-mean-series-keyed-dataset-comparison-56f3dcb6","name":"Procurement Research: Trailing Mean Series + Keyed Dataset Comparison","description":"Procurement research — Trailing mean series + Keyed dataset comparison: Trailing mean series + Keyed dataset comparison 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-11-153?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"quoted_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80},"quoted_amount":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","quoted_units":1,"company_group":"group-a","quoted_amount":10},{"date":"2026-10-02","row_id":"row-2","quoted_units":2,"company_group":"group-b","quoted_amount":20},{"date":"2026-10-03","row_id":"row-3","quoted_units":3,"company_group":"group-a","quoted_amount":15},{"date":"2026-10-04","row_id":"row-4","quoted_units":4,"company_group":"group-b","quoted_amount":30}],"maxItems":200,"minItems":1},"field":{"enum":["quoted_amount","quoted_units"],"type":"string","default":"quoted_amount"},"other":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","quoted_amount","quoted_units"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21},{"date":"2026-10-03","row_id":"row-3","quoted_units":3,"company_group":"group-a","quoted_amount":17},{"date":"2026-10-04","row_id":"row-4","quoted_units":4,"company_group":"group-b","quoted_amount":33}],"maxItems":200,"minItems":0},"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_WNNf6_vAG7PYAdma7tjzo","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":"Computes trailing mean time series and keyed dataset comparison reports for procurement records containing quoted amounts and units, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have two sets of procurement quote records — a main dataset and a comparison dataset, each with up to 200 rows containing row IDs, dates, company groups, quoted amounts, and quoted units — can you run a trailing mean series and a keyed dataset comparison on the quoted_amount field and give me both reports?","exampleUseCases":[{"title":"Supplier quote trend analysis","prompt":"I have 150 procurement rows from three supplier groups over the past year, each with a date, company group, and quoted amount. Can you compute a trailing mean series on quoted_amount so I can see how each group's pricing trend has evolved over time?"},{"title":"Benchmark new bids against historical quotes","prompt":"I want to compare our new vendor bids — about 80 rows with quoted amounts and units — against last quarter's procurement data using a keyed dataset comparison on quoted_amount. Can you run both reports and show me where the biggest differences are?"},{"title":"Multi-vendor unit pricing drift report","prompt":"We have two procurement datasets — one from our primary suppliers and one from secondary suppliers, both with date, company group, and quoted units fields — can you do a trailing mean series plus a keyed comparison on quoted_units to see how unit pricing has drifted between the two groups?"}],"resultDescription":"Returns two analytical reports: (1) a trailing mean time series showing rolling average values of the selected field (quoted_amount or quoted_units) grouped by date and company group, and (2) a keyed dataset comparison report highlighting differences between the primary and reference datasets by row key. No external lookups or predictions are included — all computation is performed locally on the supplied data.","failureModes":["More than 200 rows supplied — request rejected due to maxItems constraint","Missing required fields (row_id, company_group, date, quoted_amount, quoted_units) on any row — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Field selector not one of 'quoted_amount' or 'quoted_units' — enum validation error","Empty rows array — minItems constraint violation","Numeric values outside allowed range (±1,000,000,000,000) — schema rejection"],"whenToPreferThis":"Choose this endpoint when you have structured procurement records with quoted amounts or units and need both a rolling/trailing mean time series and a keyed dataset-to-dataset comparison in a single call. It is purpose-built for procurement analytics on supplier quote data and is ideal when you have two datasets to benchmark against each other and want both reports for a flat $0.01 fee. Prefer this over generic statistics APIs when your data has the specific procurement schema (quoted_amount, quoted_units, company_group) and you need both report types together without any external data enrichment or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:57.873Z","isFirstParty":false,"canonicalSlug":"procurement-research-trailing-mean-series-keyed-dataset-comparison-56f3dcb6"}