{"uid":"cap_V9aKqt6aEeWekS2w_YjPZ","slug":"vendor-evaluation-daily-sum-series-adjacent-row-changes-a978549f","name":"Vendor Evaluation — Daily Sum Series + Adjacent Row Changes","description":"Vendor evaluation — Daily sum series + Adjacent row changes: Daily sum series + Adjacent row changes for supplied vendor evaluation records (supplied_score, maximum_score). 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-10-137?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","supplied_score","maximum_score"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"company_group":{"type":"string","default":"","maxLength":80},"maximum_score":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"supplied_score":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","maximum_score":1,"supplied_score":10},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","maximum_score":2,"supplied_score":20},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","maximum_score":3,"supplied_score":15},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","maximum_score":4,"supplied_score":30}],"maxItems":200,"minItems":1},"field":{"enum":["supplied_score","maximum_score"],"type":"string","default":"supplied_score"}}},"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_2f4a3sOe1K2LbnUAjXfZx","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 two analytical reports on vendor evaluation data: a daily sum time series and adjacent row change detection, for up to 200 rows of supplied_score or maximum_score values.","exampleAgentPrompt":"Can you run daily sum series and adjacent row change reports on my vendor evaluation data? I have records for group-a and group-b from 2026-10-01 through 2026-10-04 with supplied_score values of 10, 20, 15, 30 and maximum_scores of 1, 2, 3, 4 — analyze the supplied_score field.","exampleUseCases":[{"title":"Vendor score trend monitoring","prompt":"I have 4 months of vendor evaluation records with daily supplied_score and maximum_score entries for three vendor groups. Can you compute the daily sum series and flag where scores changed between consecutive rows so I can spot which vendors are trending down?"},{"title":"Procurement audit across company groups","prompt":"Run a daily aggregation and adjacent-change analysis on my vendor evaluation data for Q3 — I need to see total supplied_scores per day and which records show jumps or drops from the previous row, grouped by company_group."},{"title":"Benchmarking maximum scores over time","prompt":"I want to analyze my vendor maximum_score field across 150 evaluation rows from January — give me the daily sum series and highlight wherever the score changed from one row to the next so I can see where benchmarks shifted."}],"resultDescription":"Two independent analytical reports: (1) a daily sum series aggregating the selected field (supplied_score or maximum_score) by date, and (2) an adjacent row change report showing value differences between consecutive records — all computed locally from the supplied data, with no external lookups or predictions.","failureModes":["Missing required fields (row_id, date, company_group, supplied_score, maximum_score) cause validation errors","Date strings not matching YYYY-MM-DD pattern are rejected","More than 200 rows submitted exceeds the maxItems limit and is rejected","Null numeric values may affect aggregation totals if not handled","Invalid field enum value (not supplied_score or maximum_score) causes rejection","Empty rows array (minItems:1 violated) returns an error"],"whenToPreferThis":"Choose this endpoint when you have structured vendor evaluation tabular data (up to 200 rows) and need both a time-aggregated daily sum and a row-by-row change detection report in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical workflows where no live external data, predictions, or professional assessments are needed — just pure local computation on your supplied records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:51:47.337Z","isFirstParty":false,"canonicalSlug":"vendor-evaluation-daily-sum-series-adjacent-row-changes-a978549f"}