{"uid":"cap_MCR4aQIItkkIQKSu1c8uD","slug":"token-supply-snapshots-numeric-interval-filter-explicit-missing-value-c3dfcf01","name":"Token Supply Snapshots — Numeric Interval Filter + Explicit Missing-Value Fill","description":"Token supply snapshots — Numeric interval filter + Explicit missing-value fill: Numeric interval filter + Explicit missing-value fill for supplied token supply snapshots records (circulating_units, total_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-finance-11-135?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","instrument_group","date","circulating_units","total_units"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"total_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"instrument_group":{"type":"string","default":"","maxLength":80},"circulating_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","total_units":1,"instrument_group":"group-a","circulating_units":10},{"date":"2026-10-02","row_id":"row-2","total_units":2,"instrument_group":"group-b","circulating_units":20},{"date":"2026-10-03","row_id":"row-3","total_units":3,"instrument_group":"group-a","circulating_units":15},{"date":"2026-10-04","row_id":"row-4","total_units":4,"instrument_group":"group-b","circulating_units":30}],"maxItems":200,"minItems":1},"field":{"enum":["circulating_units","total_units"],"type":"string","default":"circulating_units"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_-U4zUekRuJnmQNxwO_sDr","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":"Filters token supply snapshot rows by a numeric interval on circulating_units or total_units, then fills missing values using zero, mean, or median imputation, returning up to 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"I have a dataset of daily token supply snapshots with some null circulating_units values — can you filter the rows where circulating_units falls between 0 and 500000000, then fill in any missing values using the median, and give me up to 2 analytical reports on the result?","exampleUseCases":[{"title":"Cleaning crypto token circulating supply data","prompt":"I have 150 daily rows of token supply data for several instrument groups, some with null circulating_units. Can you filter to only keep rows where circulating_units is between 1000 and 900000000, and fill in the nulls using the mean? I need both analytical reports."},{"title":"Filtering total supply records by valid range","prompt":"Here are 80 token supply snapshots — I want to keep only the rows where total_units is between 0 and 21000000, and replace any missing total_units values with zero. Run your two analytical reports on the cleaned data."},{"title":"Preparing token supply data for downstream analysis","prompt":"I've got a mixed dataset of crypto supply snapshots across multiple instrument groups with some missing circulating_units entries. Please filter to circulating_units between 500 and 100000000, impute nulls using median, and return both reports so I can pass the clean data to my model."}],"resultDescription":"Up to 2 analytical reports derived from the supplied token supply snapshot rows after applying the specified numeric interval filter (min/max) on the chosen field (circulating_units or total_units) and filling any missing values using the selected method (zero, mean, or median). Results are computed locally from submitted data with no external lookups.","failureModes":["Rows array is empty or missing — validation error","Row count exceeds 200 — request rejected","Date field does not match YYYY-MM-DD pattern — validation error","Numeric values outside ±1,000,000,000,000 range — validation error","minimum greater than maximum — logically empty interval, may return zero rows","Required row fields (row_id, date, instrument_group) missing — validation error"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously apply a numeric range filter and impute missing values on token supply snapshot data (circulating_units or total_units) in a single low-cost call ($0.01 USDC for 2 reports). It is ideal for data cleaning pipelines where crypto/token supply time series contain nulls and out-of-range values. Prefer alternatives if you need live market data, predictions, or more than 200 rows processed at once.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:32:42.820Z","isFirstParty":false,"canonicalSlug":"token-supply-snapshots-numeric-interval-filter-explicit-missing-value-c3dfcf01"}