{"uid":"cap_nLRgKsKisVfYioi7zufAX","slug":"ownership-record-completeness-exact-row-deduplication-numeric-row-d174c716","name":"Ownership Record Completeness — Exact Row Deduplication + Numeric Row Ordering","description":"Ownership record completeness — Exact row deduplication + Numeric row ordering: Exact row deduplication + Numeric row ordering for supplied ownership record completeness records (documented_links, required_links). 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-21-042?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","documented_links","required_links"],"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},"required_links":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"documented_links":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","required_links":1,"documented_links":10},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","required_links":2,"documented_links":20},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","required_links":3,"documented_links":15},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","required_links":4,"documented_links":30}],"maxItems":200,"minItems":1},"field":{"enum":["documented_links","required_links"],"type":"string","default":"documented_links"}}},"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_r7SNBX6nOplCbtL_N-Zqu","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":"Deduplicates and numerically orders ownership record completeness rows (documented_links, required_links) for up to 200 supplied records, producing 2 independent analytical reports.","exampleAgentPrompt":"I have a batch of ownership completeness records for two company groups with documented_links and required_links values — can you deduplicate the exact duplicate rows and sort them numerically? Here are 4 rows: row-1 for group-a on 2026-10-01 with required_links=1 and documented_links=10, row-2 for group-b on 2026-10-02 with required_links=2 and documented_links=20, row-3 for group-a on 2026-10-03 with required_links=3 and documented_links=15, and row-4 for group-b on 2026-10-04 with required_links=4 and documented_links=30; analyze on the documented_links field.","exampleUseCases":[{"title":"Cleaning duplicated ownership audit data","prompt":"I've exported ownership completeness records from our compliance system and there are duplicate rows — can you deduplicate them exactly and then sort numerically? I have 6 rows across group-alpha and group-beta with documented_links and required_links values from 2026-09-01 through 2026-09-06, and I want to analyze on the required_links field."},{"title":"Ordering multi-company link completeness records","prompt":"We track documented_links and required_links for ownership completeness across three company groups — group-x, group-y, group-z — over the past week. Can you take my 15 rows, remove any exact duplicates, and give me them back in numeric order? Use documented_links as the field for the reports."},{"title":"Validating deduplication before compliance report","prompt":"Before I submit our quarterly ownership completeness report, I need to verify there are no duplicate rows in my dataset of 50 records spanning group-north and group-south from 2026-07-01 to 2026-09-30, with documented_links and required_links columns. Can you run exact deduplication and numeric ordering on the required_links field?"}],"resultDescription":"Returns 2 independent analytical reports covering exact row deduplication (identifying and removing identical rows) and numeric row ordering applied to the supplied ownership completeness records, using the selected field (documented_links or required_links). No external lookups or predictions are made — all analysis is performed locally on the supplied data.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required row fields (row_id, company_group, date, documented_links, required_links) cause validation errors","Invalid date format (must match YYYY-MM-DD pattern) returns schema error","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) rejected","Empty rows array (minItems:1 violated) returns error","Invalid field enum value (must be 'documented_links' or 'required_links') causes rejection"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local exact-duplicate removal and numeric ordering on ownership record completeness data (documented_links and required_links fields) without any external API calls, predictions, or professional assessments. Ideal for pre-processing compliance or audit datasets of up to 200 rows before reporting. At $0.01 USDC for 2 reports, it is cost-effective for routine data cleaning on ownership completeness records. Prefer alternatives if you need fuzzy deduplication, machine-learning-based anomaly detection, or data enrichment from external sources.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-04T18:47:30.009Z","isFirstParty":false,"canonicalSlug":"ownership-record-completeness-exact-row-deduplication-numeric-row-d174c716"}