{"uid":"cap_svwmUPQA9xDTbVhQRZ3s8","slug":"business-directory-coverage-grouped-summary-date-category-pivot-9c1d0bab","name":"Business Directory Coverage Grouped Summary & Date-Category Pivot","description":"Business directory coverage — Grouped numeric summary + Date by category pivot: Grouped numeric summary + Date by category pivot for supplied business directory coverage records (listed_entities, verified_entities). 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-14-097?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","listed_entities","verified_entities"],"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},"listed_entities":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"verified_entities":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","listed_entities":10,"verified_entities":1},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","listed_entities":20,"verified_entities":2},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","listed_entities":15,"verified_entities":3},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","listed_entities":30,"verified_entities":4}],"maxItems":200,"minItems":1},"field":{"enum":["listed_entities","verified_entities"],"type":"string","default":"listed_entities"}}},"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_RNjdpZiIAn-c_uQzrp2b-","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":"Generates two analytical reports — a grouped numeric summary and a date-by-category pivot — for business directory coverage data (listed_entities, verified_entities) across up to 200 rows.","exampleAgentPrompt":"Can you run a grouped numeric summary and date-by-category pivot on my business directory coverage data? I have 4 rows — group-a had 10 listed and 1 verified on 2026-10-01 and 15 listed and 3 verified on 2026-10-03, group-b had 20 listed and 2 verified on 2026-10-02 and 30 listed and 4 verified on 2026-10-04 — and I want to analyze the listed_entities field.","exampleUseCases":[{"title":"Monthly directory coverage audit by region","prompt":"I have 50 rows of business directory data organized by company group and date — can you give me a grouped numeric summary and a date-by-category pivot for the listed_entities field so I can see how coverage breaks down by group and over time?"},{"title":"Verified entity completeness analysis","prompt":"Can you analyze my directory coverage records for the verified_entities field? I want both a grouped summary across my company groups and a pivot table by date so I can spot which groups have low verification rates."},{"title":"Quarterly business listing trend report","prompt":"I've got business directory coverage data for Q4 with listed_entities and verified_entities counts for groups like 'enterprise', 'SMB', and 'startup' — run a grouped numeric summary and a date-pivot on the listed_entities field so I can see the trends."}],"resultDescription":"Two analytical reports derived from the supplied rows: (1) a grouped numeric summary aggregating listed_entities and/or verified_entities by company_group, and (2) a date-by-category pivot table cross-tabulating the chosen field (listed_entities or verified_entities) across dates and company groups. All computation is local with no external lookups.","failureModes":["Missing required row fields (row_id, company_group, date, listed_entities, verified_entities) cause validation errors","Date strings not matching YYYY-MM-DD pattern are rejected","More than 200 rows submitted exceeds the limit and returns an error","Null values in listed_entities or verified_entities may affect aggregation results","Invalid field enum value (not 'listed_entities' or 'verified_entities') causes rejection"],"whenToPreferThis":"Choose this endpoint when you have structured business directory coverage data with company groups, dates, and entity counts and need two quick analytical reports — a grouped summary and a date-category pivot — without setting up a local data stack. Ideal for agents performing periodic directory audits, compliance checks, or coverage trend analysis on batches of up to 200 rows at minimal cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:46.042Z","isFirstParty":false,"canonicalSlug":"business-directory-coverage-grouped-summary-date-category-pivot-9c1d0bab"}