{"uid":"cap_ibWKY7br2iE0otf5WlkdA","slug":"shipment-costs-record-quality-audit-391e9426","name":"Shipment Costs Record Quality Audit","description":"Shipment costs - Record quality audit: Record quality audit for Shipment costs. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded record quality audit deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-analytics-shipment-costs-quality?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","carrier","date","weight_kg","shipping_cost"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"carrier":{"type":"string","default":"","maxLength":80},"weight_kg":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"shipping_cost":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","carrier":"group-a","weight_kg":10,"shipping_cost":1},{"date":"2026-10-02","row_id":"row-2","carrier":"group-b","weight_kg":20,"shipping_cost":2},{"date":"2026-10-03","row_id":"row-3","carrier":"group-a","weight_kg":15,"shipping_cost":3},{"date":"2026-10-04","row_id":"row-4","carrier":"group-b","weight_kg":30,"shipping_cost":4}],"maxItems":200,"minItems":1}}},"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_YXDkMYT2rY1ovoPhruS9a","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":"Audits up to 200 shipment cost records for data quality issues such as nulls, outliers, and formatting errors across carrier, weight, and cost fields.","exampleAgentPrompt":"Can you run a data quality audit on these shipment cost records? I have 4 rows — carrier group-a shipped 10 kg on 2026-10-01 for $1, carrier group-b shipped 20 kg on 2026-10-02 for $2, carrier group-a shipped 15 kg on 2026-10-03 for $3, and carrier group-b shipped 30 kg on 2026-10-04 for $4 — flag any nulls, bad dates, or suspicious values.","exampleUseCases":[{"title":"Pre-analysis logistics data cleanup","prompt":"Before I run my freight cost analysis, can you audit these 50 shipment records for quality problems? I need to know which rows have missing weights, bad dates, or zero-dollar shipping costs so I can fix them first."},{"title":"Carrier billing anomaly detection","prompt":"I just received our monthly carrier invoices and I want to check the data quality before importing it into our system — can you audit these 120 shipment cost rows and flag anything that looks like a null, outlier, or formatting error?"},{"title":"Automated pipeline data validation","prompt":"As part of our daily ETL pipeline, audit this batch of 200 shipment cost records from today and report any rows that fail quality checks — especially null weights, negative costs, or dates outside the expected format."}],"resultDescription":"A bounded record quality audit deliverable covering up to 200 input shipment cost rows, identifying data quality issues such as null values, out-of-range numbers, malformed dates, and other anomalies at the per-record level across carrier, weight_kg, shipping_cost, and date fields.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, carrier, date, weight_kg, shipping_cost) cause row-level rejection","Malformed date strings not matching YYYY-MM-DD pattern may be flagged or rejected","Empty array input returns an error (minItems: 1)","Non-numeric values for weight_kg or shipping_cost cause schema validation failure"],"whenToPreferThis":"Choose this endpoint when you need a fast, local data quality check on shipment cost records specifically — covering carrier, weight, date, and cost fields — without needing external enrichment or forecasting. Best suited for pre-processing logistics data before analysis, validating ETL pipeline inputs, or auditing carrier billing exports. Prefer this over generic data validation tools when your records conform to the carrier/weight/cost schema and you want a bounded, affordable ($0.01) per-batch audit.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T18:49:00.517Z","isFirstParty":false,"canonicalSlug":"shipment-costs-record-quality-audit-391e9426"}