{"uid":"cap_k9cG-irxsOs6XN0NsDV4T","slug":"vendor-evaluation-daily-sum-series-iqr-outlier-flags-3fc30ec5","name":"Vendor Evaluation — Daily Sum Series + IQR Outlier Flags","description":"Vendor evaluation — Daily sum series + IQR outlier flags: Daily sum series + IQR outlier flags 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-10-140?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_3neVWWfnDBXs1dm-JDtag","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 daily sum time series and IQR-based outlier flags for vendor evaluation records (supplied_score, maximum_score) across up to 200 rows.","exampleAgentPrompt":"Can you run a daily sum series and IQR outlier analysis on these vendor evaluation records? I have scores for groups 'alpha' and 'beta' across dates in Q4 — use the supplied_score field and flag any outlier days.","exampleUseCases":[{"title":"Quarterly vendor performance review","prompt":"I have 150 vendor evaluation rows for Q3 with supplied_score and maximum_score columns across multiple company groups — can you compute the daily sum series and flag any IQR outliers in the supplied_score field so I can spot which dates had abnormal scoring?"},{"title":"Detecting anomalous procurement scoring days","prompt":"We received vendor bids scored daily across two supplier groups over the past month. Can you aggregate those scores by date and use IQR outlier detection on the maximum_score field to highlight which days had unusual totals?"},{"title":"Multi-group vendor scorecard audit","prompt":"I need to audit our vendor evaluation data — I've got about 80 rows across company groups 'west-region' and 'east-region' with dates and supplied scores. Run the daily sum time series and IQR outlier flags on the supplied_score field and tell me which days look like statistical outliers."}],"resultDescription":"Returns two analytical reports: (1) a daily sum time series aggregating the selected field (supplied_score or maximum_score) by date, and (2) IQR-based outlier flags identifying which dates or records fall outside the interquartile range, based on the supplied input rows. No external data is fetched; all analysis is performed on the provided records.","failureModes":["Empty or missing rows array returns an error","rows exceeding 200 items are rejected","invalid date format (not YYYY-MM-DD) causes validation failure","null values in supplied_score or maximum_score may affect aggregation results","invalid field enum value (not 'supplied_score' or 'maximum_score') causes rejection"],"whenToPreferThis":"Choose this endpoint when you need both a daily aggregated time series and IQR-based statistical outlier detection on vendor evaluation data in a single call. It is ideal for batch offline analysis of up to 200 pre-collected vendor scoring rows where no live data lookup or external enrichment is needed. Prefer it over generic analytics tools when working specifically with company-grouped vendor records containing supplied and maximum score fields.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:50:03.716Z","isFirstParty":false,"canonicalSlug":"vendor-evaluation-daily-sum-series-iqr-outlier-flags-3fc30ec5"}