{"uid":"cap_BFCQt6c5FKSqL-6G47DQ9","slug":"token-supply-snapshots-record-quality-audit-string-normalisation-56485027","name":"Token Supply Snapshots — Record Quality Audit, String Normalisation & Category Frequencies","description":"Token supply snapshots — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies for supplied token supply snapshots records (circulating_units, total_units). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-finance-11-195?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}}},"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__2JVqJsJuRUmVy5i2Jke_","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 three local analytical reports on up to 200 token supply snapshot rows: a record quality audit, string normalisation, and category frequency analysis of circulating/total units data.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and category frequency analysis on these token supply snapshots? I have up to 50 rows with fields like row_id, instrument_group, date, circulating_units, and total_units.","exampleUseCases":[{"title":"Pre-pipeline token data quality check","prompt":"I have 120 rows of token supply snapshot data with circulating_units and total_units fields — can you audit them for quality issues, normalise the instrument_group strings, and tell me how frequently each category appears before I load them into my data warehouse?"},{"title":"Crypto analyst instrument group audit","prompt":"I need to clean up my token supply dataset — can you run a record quality audit and category frequency report on these 80 rows so I can see which instrument groups are most common and whether any records have bad or missing values?"},{"title":"DeFi portfolio data validation","prompt":"Before I hand off this token supply snapshot dataset to my analyst, can you check for record quality problems, normalise the string fields, and generate a category frequency breakdown? It has about 30 rows with circulating and total units per token group."}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging missing, out-of-range, or malformed values in the supplied rows; (2) a string normalisation report standardising instrument_group and other text fields; (3) a category frequency table showing how often each instrument_group appears. All computed locally with no external lookups.","failureModes":["Fewer than 1 row supplied — minimum item count violation","More than 200 rows submitted — exceeds maxItems limit","date field not matching YYYY-MM-DD pattern — schema validation error","circulating_units or total_units outside ±1,000,000,000,000 range — value out of bounds","Missing required fields (row_id, instrument_group, date) — schema validation error","Payment not completed — endpoint returns 402"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of token supply snapshot records (with circulating_units, total_units, instrument_group, and date fields) and need three specific analytical outputs — quality audit, string normalisation, and category frequencies — in a single low-cost ($0.01 USDC) call. Prefer it over generic data tools when you want all three reports together without external API calls or live data lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:33:09.350Z","isFirstParty":false,"canonicalSlug":"token-supply-snapshots-record-quality-audit-string-normalisation-56485027"}