{"uid":"cap_exXD2o6qDHxFFgJ_Lle0s","slug":"partnership-pipeline-adjacent-row-changes-iqr-outlier-flags-f6bb8ee6","name":"Partnership Pipeline — Adjacent Row Changes & IQR Outlier Flags","description":"Partnership pipeline — Adjacent row changes + IQR outlier flags: Adjacent row changes + IQR outlier flags for supplied partnership pipeline records (qualified_partners, active_partners). 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-09-157?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","qualified_partners","active_partners"],"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},"active_partners":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"qualified_partners":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","active_partners":1,"qualified_partners":10},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","active_partners":2,"qualified_partners":20},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","active_partners":3,"qualified_partners":15},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","active_partners":4,"qualified_partners":30}],"maxItems":200,"minItems":1},"field":{"enum":["qualified_partners","active_partners"],"type":"string","default":"qualified_partners"}}},"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_Dcc1IRT5bdTS0wr7Ta4Rs","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":"Analyzes partnership pipeline records to detect adjacent row changes and flag IQR-based outliers for qualified_partners or active_partners metrics.","exampleAgentPrompt":"Can you analyze my partnership pipeline data for the last two weeks — I have rows with company_group, date, qualified_partners, and active_partners — and flag any rows where qualified_partners jumps unexpectedly between consecutive dates or looks like an outlier by IQR standards? I have about 20 rows across group-a and group-b.","exampleUseCases":[{"title":"Monthly partner pipeline anomaly review","prompt":"I have our monthly partnership pipeline records across 5 company groups with daily qualified_partners and active_partners counts — can you run adjacent row change detection and IQR outlier flagging on the qualified_partners field so I can see which days had unexpected spikes or dips?"},{"title":"Pre-report data quality check","prompt":"Before I send out our partner pipeline report, can you check these 80 rows of active_partners data for any sudden row-to-row jumps or statistical outliers using IQR? I want to catch anything that looks off before the presentation."},{"title":"Multi-group pipeline comparison audit","prompt":"We track qualified_partners across four company groups daily — can you analyze these 150 rows and flag which rows show big changes from the prior row and which ones fall outside the IQR range, grouped by company_group?"}],"resultDescription":"Returns two independent analytical reports: (1) an adjacent row change report showing differences between consecutive rows for the selected field, and (2) an IQR outlier flag report identifying rows whose values fall outside the interquartile range. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["Missing required fields (row_id, date, company_group, qualified_partners, active_partners) causes validation error","Exceeding 200 rows returns an error; only up to 200 rows are supported","Invalid date format (not YYYY-MM-DD) will fail schema validation","Supplying fewer than 1 row triggers minItems error","Numeric values outside ±1,000,000,000,000 are rejected","Invalid field enum value (anything other than qualified_partners or active_partners) causes rejection"],"whenToPreferThis":"Choose this endpoint when you have tabular partnership pipeline data (with qualified_partners and active_partners columns) and need both sequential change detection and IQR-based outlier flagging in a single low-cost call. It is ideal for pre-reporting data quality checks, periodic pipeline health audits, or automated anomaly alerts on partner metrics. Prefer it over generic statistics APIs when you specifically need the two-report combo (adjacent deltas + IQR flags) scoped to partnership pipeline semantics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:51.293Z","isFirstParty":false,"canonicalSlug":"partnership-pipeline-adjacent-row-changes-iqr-outlier-flags-f6bb8ee6"}