{"uid":"cap_ql33JlkDUa9IulaXb8E7w","slug":"partnership-pipeline-category-frequencies-keyed-dataset-comparison-ef6329d9","name":"Partnership Pipeline — Category Frequencies + Keyed Dataset Comparison","description":"Partnership pipeline — Category frequencies + Keyed dataset comparison: Category frequencies + Keyed dataset comparison 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-09-111?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"company_group":{"type":"string","default":"","maxLength":80},"active_partners":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"qualified_partners":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","active_partners":1,"qualified_partners":10},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","active_partners":2,"qualified_partners":20},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","active_partners":3,"qualified_partners":15},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","active_partners":4,"qualified_partners":30}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","qualified_partners","active_partners"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","active_partners":3,"qualified_partners":17},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","active_partners":4,"qualified_partners":33}],"maxItems":200,"minItems":0}}},"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_3Pb6807XFQq39m6CGSTqY","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 data (qualified_partners, active_partners) by computing category frequency distributions and performing a keyed row-level comparison between two supplied datasets, returning two independent analytical reports.","exampleAgentPrompt":"I have two batches of partnership pipeline records — a current set and a previous set, each with up to 200 rows containing row_id, company_group, date, qualified_partners, and active_partners — can you run category frequency analysis and a keyed row-by-row comparison between them to see what changed?","exampleUseCases":[{"title":"Quarterly partner pipeline audit","prompt":"I've got our Q3 and Q4 partnership pipeline records (each under 200 rows, with row_id, company_group, date, qualified_partners, and active_partners) — can you compute the category frequencies for each company group and show me which rows changed between the two quarters?"},{"title":"Validating partner data pipeline refresh","prompt":"We just refreshed our partner pipeline data and I need to compare the old batch to the new one row by row using row_id as the key, and also get a frequency breakdown of how many records fall into each company_group — can you run both reports at once?"},{"title":"Company group distribution analysis","prompt":"Here are two snapshots of our partnership records for group-a and group-b with their qualified_partners and active_partners counts — please give me a frequency report showing how often each company group appears, and flag any rows that differ between the two snapshots."}],"resultDescription":"Returns two independent analytical reports: (1) a category frequencies report showing how often each company_group value appears in the supplied rows, and (2) a keyed dataset comparison report highlighting row-level differences between the primary dataset and the comparison dataset (matched by row_id), covering qualified_partners and active_partners fields. No external lookups or predictions are made — all analysis is performed locally on the supplied data.","failureModes":["Input array contains more than 200 rows — request rejected","Missing required fields (row_id, company_group, date, qualified_partners, active_partners) on any row — validation error","Date field does not match YYYY-MM-DD pattern — validation error","row_id exceeds 80 characters or is empty — validation error","numeric fields outside allowed range (±1,000,000,000,000) — validation error","Payment not completed via x402 protocol — request blocked","Empty rows array (minItems:1 violated) — validation error"],"whenToPreferThis":"Choose this endpoint when you need two analytical reports on partnership pipeline data in a single $0.01 call: a category frequency breakdown by company_group AND a keyed row-level comparison between two dataset snapshots. It is ideal for auditing pipeline refreshes, detecting partner record drift between time periods, or summarizing group distributions — all without external lookups, predictions, or live data access. Prefer this over generic analytics tools when your data is structured around qualified_partners and active_partners fields and you want both reports computed together efficiently.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:40:37.989Z","isFirstParty":false,"canonicalSlug":"partnership-pipeline-category-frequencies-keyed-dataset-comparison-ef6329d9"}