{"uid":"cap_6-TJ2O6FlHSMSCYie9u43","slug":"partnership-pipeline-string-normalisation-daily-sum-series-73a4cf87","name":"Partnership Pipeline — String Normalisation + Daily Sum Series","description":"Partnership pipeline — String normalisation + Daily sum series: String normalisation + Daily sum series 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-09-027?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_VSbz2QU_9SXL2Sf9sL8QK","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":"Normalises string fields and computes daily sum time series for partnership pipeline records (qualified_partners, active_partners) across up to 200 rows, returning 2 analytical reports.","exampleAgentPrompt":"Can you normalize the company group strings and compute a daily sum series for qualified_partners across these 4 partnership records: row-1 group-a 2026-10-01 qualified=10 active=1, row-2 group-b 2026-10-02 qualified=20 active=2, row-3 group-a 2026-10-03 qualified=15 active=3, row-4 group-b 2026-10-04 qualified=30 active=4?","exampleUseCases":[{"title":"Daily qualified partner trend by group","prompt":"I have a week of partnership pipeline data across two company groups — can you normalize the group names and give me a daily sum series for qualified_partners? Here are the rows: row-1 group-alpha 2026-11-01 qualified=50 active=5, row-2 group-beta 2026-11-01 qualified=30 active=3, row-3 group-alpha 2026-11-02 qualified=60 active=7, row-4 group-beta 2026-11-02 qualified=25 active=4."},{"title":"Active partner daily rollup for reporting","prompt":"Can you run string normalization and a daily sum series for active_partners on my pipeline records? I have: row-1 Region-North 2026-10-10 active=12 qualified=100, row-2 Region-South 2026-10-10 active=8 qualified=80, row-3 Region-North 2026-10-11 active=15 qualified=110, row-4 Region-South 2026-10-11 active=9 qualified=90."},{"title":"Monthly partner pipeline data cleanup","prompt":"I've got messy company group labels and 30 days of partner counts — please normalize the strings and produce a daily sum series for qualified_partners. Starting rows: row-1 'Acme Corp.' 2026-09-01 qualified=200 active=20, row-2 'acme corp' 2026-09-02 qualified=210 active=22, row-3 'Beta Ltd' 2026-09-01 qualified=150 active=15."}],"resultDescription":"Returns two analytical reports for the supplied rows: (1) a string normalisation report cleaning and standardising the company_group and related string fields, and (2) a daily sum series report aggregating the selected numeric field (qualified_partners or active_partners) by date across all rows, using local analytical engines with no external data lookups.","failureModes":["Missing required fields (row_id, date, company_group) causes validation error","Date strings not matching YYYY-MM-DD pattern are rejected","Exceeding 200 rows returns an error or truncates input","Numeric values outside ±1,000,000,000,000 range are rejected","Empty rows array returns an error","Invalid field enum value (anything other than qualified_partners or active_partners) causes rejection"],"whenToPreferThis":"Choose this endpoint when you have raw partnership pipeline records with potentially inconsistent string labels and need both normalised text output and a daily aggregated time series for a numeric partner metric in one low-cost call. It is ideal for lightweight batch preprocessing of up to 200 rows without requiring any live data lookups or external integrations.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:51:25.406Z","isFirstParty":false,"canonicalSlug":"partnership-pipeline-string-normalisation-daily-sum-series-73a4cf87"}