{"uid":"cap_oawvSm7ZmtGePgz2gA9Yz","slug":"partnership-pipeline-record-quality-audit-string-normalisation-43061d65","name":"Partnership Pipeline — Record Quality Audit + String Normalisation + Numeric Interval Filter","description":"Partnership pipeline — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter for supplied partnership pipeline records (qualified_partners, active_partners). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-company-09-197?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_i2H_3KP3Qe8ox33mhmNHX","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":"Audits record quality, normalises strings, and filters by numeric interval for partnership pipeline data (qualified_partners, active_partners) across up to 200 rows, returning 3 independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and numeric interval filter on my partnership pipeline data — filter on the qualified_partners field between 5 and 50 — for these rows: row-1, group-a, 2026-10-01, qualified_partners=10, active_partners=1; row-2, group-b, 2026-10-02, qualified_partners=20, active_partners=2?","exampleUseCases":[{"title":"Partner data quality health check","prompt":"I have a batch of up to 200 partnership pipeline records with company groups, dates, qualified_partners and active_partners counts — can you audit them for record quality issues, normalise the company group strings, and also filter to only show rows where qualified_partners is between 10 and 100?"},{"title":"Flagging dirty strings in partner CRM export","prompt":"We exported our partner CRM data into rows with row IDs, company groups, and partner counts — can you run string normalisation and a record quality audit on these records, filtering the active_partners field between 0 and 50, so I can see which entries have inconsistent formatting or missing values?"},{"title":"Pipeline interval filter for quarterly review","prompt":"For our Q4 review, I need to filter our partnership pipeline rows to just those where qualified_partners falls between 15 and 75, and also get a quality audit and string normalisation report for all the submitted records — there are about 80 rows total."}],"resultDescription":"Returns 3 independent reports: (1) a record quality audit highlighting completeness, missing values, and anomalies; (2) a string normalisation report on the company_group and related text fields; and (3) a numeric interval filter report showing which rows fall within the specified minimum–maximum range for the chosen field (qualified_partners or active_partners). All analysis is performed locally on the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — request rejected","date field does not match YYYY-MM-DD pattern — validation error","numeric field values outside ±1,000,000,000,000 — rejected","minimum greater than maximum — undefined filter behaviour","Missing required fields (row_id, company_group, date) — schema validation error"],"whenToPreferThis":"Choose this endpoint when you need a combined, cost-effective ($0.01 USDC) three-in-one local analytical pass over partnership pipeline tabular data — specifically quality auditing, string normalisation, and numeric range filtering — without requiring live lookups, external enrichment, or predictions. Ideal for pre-processing CRM exports, validating partner pipeline batches before ingestion, or quickly triaging data quality in qualified/active partner counts.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:42.900Z","isFirstParty":false,"canonicalSlug":"partnership-pipeline-record-quality-audit-string-normalisation-43061d65"}