{"uid":"cap_hx4gl-2GU-XbiylmS6Z97","slug":"damaged-stock-base-100-series-keyed-dataset-comparison-3136c07f","name":"Damaged Stock Base-100 Series + Keyed Dataset Comparison","description":"Damaged stock — Base-100 series + Keyed dataset comparison: Base-100 series + Keyed dataset comparison for supplied damaged stock records (handled_units, damaged_units). 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-retail-18-168?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","store_group","date","handled_units","damaged_units"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"store_group":{"type":"string","default":"","maxLength":80},"damaged_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"handled_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","store_group":"group-a","damaged_units":1,"handled_units":10},{"date":"2026-10-02","row_id":"row-2","store_group":"group-b","damaged_units":2,"handled_units":20},{"date":"2026-10-03","row_id":"row-3","store_group":"group-a","damaged_units":3,"handled_units":15},{"date":"2026-10-04","row_id":"row-4","store_group":"group-b","damaged_units":4,"handled_units":30}],"maxItems":200,"minItems":1},"field":{"enum":["handled_units","damaged_units"],"type":"string","default":"handled_units"},"other":{"type":"array","items":{"type":"object","required":["row_id","store_group","date","handled_units","damaged_units"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"store_group":{"type":"string","default":"","maxLength":80},"damaged_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"handled_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","store_group":"group-a","damaged_units":1,"handled_units":10},{"date":"2026-10-02","row_id":"row-2","store_group":"group-b","damaged_units":2,"handled_units":21},{"date":"2026-10-03","row_id":"row-3","store_group":"group-a","damaged_units":3,"handled_units":17},{"date":"2026-10-04","row_id":"row-4","store_group":"group-b","damaged_units":4,"handled_units":33}],"maxItems":200,"minItems":0},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_6U8HYHTdqQAk_9sYIGz4n","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 two local analytical reports on supplied damaged stock records: a Base-100 index series and a keyed dataset comparison across up to 200 rows.","exampleAgentPrompt":"Run a base-100 index series and keyed dataset comparison on these two damaged stock datasets — each has up to 50 rows with row_id, store_group, date, handled_units, and damaged_units — and use the damaged_units field for the analysis.","exampleUseCases":[{"title":"Seasonal damage rate benchmarking","prompt":"I have two sets of damaged stock records for our warehouse groups — one from Q1 and one from Q2, about 80 rows each. Can you run a base-100 index series and keyed comparison on them using damaged_units so I can see how damage rates shifted between quarters?"},{"title":"Store group damage performance comparison","prompt":"Compare these two damaged stock datasets for store groups A and B across the last 30 days — use handled_units as the field. I need both the base-100 indexed series and the keyed dataset comparison side by side."},{"title":"Damage trend normalization for reporting","prompt":"I need to normalize our damaged_units data to a base-100 index and compare it against our target baseline dataset — here are both datasets with around 120 rows each. Can you generate both the index series report and the keyed comparison?"}],"resultDescription":"Returns two analytical reports computed locally: (1) a Base-100 index series that normalizes the selected field over time or across rows, and (2) a keyed dataset comparison that aligns and contrasts the primary rows dataset against the other dataset by row_id, store_group, and date — covering up to 200 rows total with no external lookups or predictions.","failureModes":["Exceeds 200-row limit — request rejected or truncated","Missing required fields (row_id, store_group, date, handled_units, damaged_units) — validation error","Date format not matching YYYY-MM-DD pattern — schema validation failure","Mismatched row keys between primary and comparison datasets — comparison may return partial results","Null values in the selected field — may produce incomplete index series","Invalid field enum value — request rejected"],"whenToPreferThis":"Choose this endpoint when you need offline, self-contained analytical computation on damaged stock records without any external data lookup, prediction, or third-party assessment. It is ideal when you have two comparable datasets and need both a normalized Base-100 trend series and a direct keyed row-by-row comparison in a single low-cost call. Prefer it over general analytics platforms when data privacy matters (no external transmission of row data) and when your input is already structured with row_id, store_group, date, handled_units, and damaged_units.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:19.659Z","isFirstParty":false,"canonicalSlug":"damaged-stock-base-100-series-keyed-dataset-comparison-3136c07f"}