{"uid":"cap_ff2twZ_RKvnDYpNThRMds","slug":"partnership-pipeline-record-quality-audit-string-normalisation-7a3bd872","name":"Partnership Pipeline — Record Quality Audit + String Normalisation + Category Frequencies","description":"Partnership pipeline — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies 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-09-195?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}}},"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_-0odNmQkIvK9AofvRR1l0","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":"Runs three analytical reports (record quality audit, string normalisation, and category frequency analysis) on supplied partnership pipeline data rows containing qualified_partners and active_partners metrics.","exampleAgentPrompt":"Can you run a quality audit, string normalisation, and category frequency analysis on my partnership pipeline data? Here are my rows: row-1 for group-a on 2026-10-01 with 10 qualified partners and 1 active partner, row-2 for group-b on 2026-10-02 with 20 qualified and 2 active, and row-3 for group-a on 2026-10-03 with 15 qualified and 3 active.","exampleUseCases":[{"title":"Pre-reporting partner data audit","prompt":"Before I compile this quarter's partnership report, can you audit these 50 partnership pipeline records for data quality issues, normalise the company_group strings, and give me a frequency breakdown of each group? I'll paste the rows now."},{"title":"Identifying dirty CRM export data","prompt":"I just exported our CRM partner pipeline and I'm worried there are missing values and inconsistent company names. Can you run a record quality audit and string normalisation on these rows — each has a row_id, company_group, date, qualified_partners, and active_partners — and also tell me how many records fall into each company group category?"},{"title":"Partner segmentation frequency check","prompt":"We have about 120 partnership pipeline records across several company groups and I need to know how the data is distributed across those groups, whether the strings are consistent, and if there are any quality issues. Can you run all three reports — quality audit, string normalisation, and category frequencies — on these rows?"}],"resultDescription":"Returns three independent analytical reports for the supplied rows: (1) a record quality audit flagging missing, null, out-of-range, or malformed field values; (2) a string normalisation report showing standardised versions of text fields like company_group; and (3) a category frequency table showing how often each category value appears across the dataset. All computed locally with no external lookups.","failureModes":["Empty rows array — minimum 1 row required","Rows exceed 200-item limit — request will be rejected","Missing required fields (row_id, company_group, date, qualified_partners, active_partners) on any row","Date field does not match YYYY-MM-DD pattern — validation error","Numeric fields outside allowed range (-1e12 to 1e12) will fail schema validation","Payment of 0.01 USDC not provided or rejected — 402 response"],"whenToPreferThis":"Choose this endpoint when you have partnership pipeline tabular data and need all three of: a data quality audit, string normalisation, and category frequency analysis in a single call at low cost. It is ideal for pre-analysis data cleaning, CRM export validation, or pipeline reporting prep where offline computation on supplied rows is sufficient and no live data lookup or prediction is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:20.174Z","isFirstParty":false,"canonicalSlug":"partnership-pipeline-record-quality-audit-string-normalisation-7a3bd872"}