{"uid":"cap_lwXQwFkAc1S50kUHNwX_Z","slug":"company-record-completeness-string-normalisation-numeric-row-ordering-4542f249","name":"Company Record Completeness — String Normalisation + Numeric Row Ordering","description":"Company record completeness — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied company record completeness records (populated_fields, required_fields). 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-01-025?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","populated_fields","required_fields"],"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_fields":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"populated_fields":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","required_fields":1,"populated_fields":10},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","required_fields":2,"populated_fields":20},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","required_fields":3,"populated_fields":15},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","required_fields":4,"populated_fields":30}],"maxItems":200,"minItems":1},"field":{"enum":["populated_fields","required_fields"],"type":"string","default":"populated_fields"}}},"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_IeDVqbUTc3vY8uNdoC30C","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":"Normalises string fields and orders rows numerically for supplied company record completeness data (populated_fields, required_fields) across up to 200 rows, producing two independent analytical reports.","exampleAgentPrompt":"Can you normalise the string fields and sort the rows numerically by populated_fields for these company completeness records? I have 4 rows: row-1 for group-a on 2026-10-01 with populated_fields=10 and required_fields=1, row-2 for group-b on 2026-10-02 with populated_fields=20 and required_fields=2, row-3 for group-a on 2026-10-03 with populated_fields=15 and required_fields=3, and row-4 for group-b on 2026-10-04 with populated_fields=30 and required_fields=4.","exampleUseCases":[{"title":"CRM completeness audit across divisions","prompt":"I have a batch of 50 company records from our CRM with row IDs, company groups, dates, and counts of populated vs required fields — can you normalise the string values and give me both reports sorted numerically by populated_fields?"},{"title":"Data quality ranking for onboarding pipeline","prompt":"We're onboarding new companies and I need to rank them by how complete their records are — here are 30 rows with populated_fields and required_fields counts per company group, can you normalise the strings and order the rows numerically?"},{"title":"Monthly completeness report for two field metrics","prompt":"Run the two completeness reports for me on this month's company data — 80 rows with row_id, company_group, date, populated_fields, and required_fields — normalise the strings and sort numerically by required_fields."}],"resultDescription":"Returns two independent analytical reports: one applying string normalisation to company group and related string fields, and one applying numeric row ordering based on the selected field (populated_fields or required_fields), covering all supplied rows up to 200.","failureModes":["Fewer than 1 or more than 200 rows supplied — request rejected","Date field does not match YYYY-MM-DD pattern — validation error","row_id missing or empty — schema validation failure","populated_fields or required_fields outside allowed numeric range — error","field enum value not 'populated_fields' or 'required_fields' — schema rejection"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local string normalisation and numeric ordering applied to company record completeness data (populated_fields and required_fields) without any live lookup, external data enrichment, or prediction. Ideal for batch processing up to 200 rows in a single low-cost call that produces two independent reports. Not suitable if you need live data fetching, ML-based predictions, or external CRM integration.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T06:43:07.977Z","isFirstParty":false,"canonicalSlug":"company-record-completeness-string-normalisation-numeric-row-ordering-4542f249"}