{"uid":"cap_mEpFHzwQQJ2U0GNV_l8Ld","slug":"material-libraries-string-normalisation-equal-width-histogram-68c8129d","name":"Material Libraries — String Normalisation + Equal-Width Histogram","description":"Material libraries — String normalisation + Equal-width histogram: String normalisation + Equal-width histogram for supplied material libraries records (material_count, texture_mb). 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-creative-03-031?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","material_count","texture_mb"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"texture_mb":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"asset_group":{"type":"string","default":"","maxLength":80},"material_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","texture_mb":1,"asset_group":"group-a","material_count":10},{"date":"2026-10-02","row_id":"row-2","texture_mb":2,"asset_group":"group-b","material_count":20},{"date":"2026-10-03","row_id":"row-3","texture_mb":3,"asset_group":"group-a","material_count":15},{"date":"2026-10-04","row_id":"row-4","texture_mb":4,"asset_group":"group-b","material_count":30}],"maxItems":200,"minItems":1},"field":{"enum":["material_count","texture_mb"],"type":"string","default":"material_count"}}},"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_HxiFpk721uL_zRKczUen0","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 computes an equal-width histogram for material_count or texture_mb across up to 200 material library records, returning two analytical reports in one call.","exampleAgentPrompt":"Can you run string normalisation and a 5-bin equal-width histogram on my material library records for the material_count field? Here are up to 50 rows with row_id, asset_group, date, material_count, and texture_mb.","exampleUseCases":[{"title":"Material count distribution for asset audit","prompt":"I have 120 material library records with asset group names and material counts — can you normalise the text fields and show me how material_count is distributed across 10 equal-width bins?"},{"title":"Texture size spread across asset groups","prompt":"Run string normalisation and a 5-bin histogram on texture_mb for my list of material library entries so I can see where most of the texture data is concentrated."},{"title":"Pipeline QA report on material libraries","prompt":"I need a quick QA report on 80 rows of material library data — normalise the string columns and bucket the material_count values into 8 equal-width bins so I can spot outliers."}],"resultDescription":"Two analytical reports: (1) a string normalisation report cleaning fields such as asset_group, and (2) an equal-width histogram report dividing the chosen numeric field (material_count or texture_mb) into the requested number of bins, with row counts per bin — all computed locally without external lookups.","failureModes":["More than 200 rows submitted — request rejected with validation error","Invalid date format (not YYYY-MM-DD) causes row-level validation failure","bins value outside 1–30 range returns schema validation error","Null values in the chosen numeric field may be excluded or flagged in histogram output","Missing required row fields (row_id, material_count, texture_mb) cause row rejection"],"whenToPreferThis":"Choose this endpoint when you have tabular material library records (up to 200 rows) and need both string normalisation and a histogram of a numeric field in a single low-cost call. Ideal for creative pipeline audits, asset QA workflows, or pre-processing steps before deeper analysis. Prefer it over general-purpose analytics tools when you want a bundled two-report output at a fixed micro-payment price with no external data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:21.391Z","isFirstParty":false,"canonicalSlug":"material-libraries-string-normalisation-equal-width-histogram-68c8129d"}