{"uid":"cap_mNidBin-0kSoAZ2hu-HJ_","slug":"registry-snapshots-string-normalisation-equal-width-histogram-96b6282f","name":"Registry Snapshots — String Normalisation + Equal-Width Histogram","description":"Registry snapshots — String normalisation + Equal-width histogram: String normalisation + Equal-width histogram for supplied registry snapshots records (registered_entities, changed_entities). 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-04-031?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","company_group","date","registered_entities","changed_entities"],"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},"changed_entities":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"registered_entities":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","changed_entities":1,"registered_entities":10},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","changed_entities":2,"registered_entities":20},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","changed_entities":3,"registered_entities":15},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","changed_entities":4,"registered_entities":30}],"maxItems":200,"minItems":1},"field":{"enum":["registered_entities","changed_entities"],"type":"string","default":"registered_entities"}}},"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_ncaq5_Rm-sGvLBJFLm4lJ","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 equal-width histogram analysis on up to 200 registry snapshot records (registered_entities or changed_entities field), returning two independent analytical reports per call.","exampleAgentPrompt":"Can you run string normalisation and an equal-width histogram with 10 bins on my registry snapshot data for the registered_entities field? I have about 50 rows with company_group, date, and entity counts.","exampleUseCases":[{"title":"Registry entity count distribution analysis","prompt":"I have 120 rows of daily registry snapshots with company groups and registered entity counts — can you normalize the string fields and build a 10-bin equal-width histogram on the registered_entities column so I can see how the counts are distributed?"},{"title":"Monitoring changed entities over time","prompt":"Here are 80 registry records tracking changed_entities across different company groups and dates. Can you run string normalization and a 5-bin histogram on the changed_entities field so I can spot patterns in the change volume?"},{"title":"Data quality check on small registry batch","prompt":"I've got 30 registry snapshot rows with some messy string fields — please normalize the strings and produce an equal-width histogram with 8 bins for the registered_entities column so I can audit data quality and distribution."}],"resultDescription":"Two independent analytical reports: (1) a string normalisation report cleaning text fields in the supplied registry snapshot rows, and (2) an equal-width histogram report with configurable bin count (1–30, default 5) showing frequency distribution of the chosen numeric field (registered_entities or changed_entities), all computed locally with no external lookups.","failureModes":["Exceeds 200-row limit — request will be rejected","Missing required fields (row_id, company_group, date, registered_entities, changed_entities) — validation error","Invalid date format (must be YYYY-MM-DD) — schema validation failure","Numeric values out of allowed range (-1e12 to 1e12) — rejection","bins parameter out of range (must be 1–30) — validation error","All-null numeric field selected — histogram may be empty or degenerate"],"whenToPreferThis":"Choose this endpoint when you need both string cleaning and a frequency distribution histogram on registry snapshot data (registered_entities or changed_entities) in a single low-cost call. Ideal for batch analysis of up to 200 rows where no live lookup or external enrichment is needed and you want a quick statistical overview of entity count distributions alongside normalised text fields.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:49:41.126Z","isFirstParty":false,"canonicalSlug":"registry-snapshots-string-normalisation-equal-width-histogram-96b6282f"}