{"uid":"cap_jKUrz2Z5nyVFBjRCkWbYd","slug":"company-filing-inventories-string-normalisation-iqr-outlier-flags-c081b7f9","name":"Company Filing Inventories — String Normalisation + IQR Outlier Flags","description":"Company filing inventories — String normalisation + IQR outlier flags: String normalisation + IQR outlier flags for supplied company filing inventories records (available_filings, expected_filings). 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-17-032?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","available_filings","expected_filings"],"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},"expected_filings":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"available_filings":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","expected_filings":1,"available_filings":10},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","expected_filings":2,"available_filings":20},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","expected_filings":3,"available_filings":15},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","expected_filings":4,"available_filings":30}],"maxItems":200,"minItems":1},"field":{"enum":["available_filings","expected_filings"],"type":"string","default":"available_filings"}}},"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_DuRO_vnb7xR0n-Wj2pOoV","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 string normalisation and IQR-based outlier detection on up to 200 rows of company filing inventory data (available_filings, expected_filings), returning two analytical reports per call.","exampleAgentPrompt":"Can you run string normalisation and IQR outlier detection on my company filing inventory data? I have 4 rows with company groups like 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and I want to analyse the available_filings field.","exampleUseCases":[{"title":"Audit filing inventory anomalies","prompt":"I have a dataset of 150 company filing records with available_filings and expected_filings counts — can you flag any IQR outliers in the available_filings column and normalise the company_group strings for me?"},{"title":"Clean regulatory filing data","prompt":"We've got messy company group names in our filing inventory export and some suspiciously high expected_filings numbers — run string normalisation and IQR outlier flagging on these 80 rows so we can identify what needs manual review."},{"title":"QA check on quarterly filings","prompt":"Before we submit our quarterly filing reconciliation, can you check these 200 rows of filing inventory data for string inconsistencies in company_group and detect any outlier values in the expected_filings field using IQR analysis?"}],"resultDescription":"Two analytical reports: (1) a string normalisation report showing standardised company_group values and normalisation changes applied; (2) an IQR outlier flagging report identifying which rows have available_filings or expected_filings values that fall outside the interquartile range bounds, with outlier flag indicators per row.","failureModes":["Fewer than 1 row supplied — returns validation error","More than 200 rows submitted — rejected with row limit error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Missing required fields (row_id, company_group, date) — rejected","Numeric values outside allowed range (±1,000,000,000,000) — schema error","Invalid field enum value — rejected with allowed values listed"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and IQR outlier detection on company filing inventory data (available_filings or expected_filings) in a single cheap call ($0.01 USDC for two reports). It is ideal for data quality pipelines processing up to 200 filing records at a time without requiring live data lookups or external integrations. Prefer it over generic analytics tools when working specifically with company_group-keyed filing inventory structures.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T12:48:44.943Z","isFirstParty":false,"canonicalSlug":"company-filing-inventories-string-normalisation-iqr-outlier-flags-c081b7f9"}