{"uid":"cap_RA-q9o44oWzZ5w_htxDxA","slug":"token-supply-snapshots-string-normalisation-category-frequencies-bc44ff3d","name":"Token Supply Snapshots — String Normalisation + Category Frequencies","description":"Token supply snapshots — String normalisation + Category frequencies: String normalisation + Category frequencies 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-11-024?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_d8TAbKvEx5MOnMzuK2eYe","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 category frequency analysis on up to 200 token supply snapshot records (circulating_units, total_units), returning two local analytical reports.","exampleAgentPrompt":"Can you normalize the string fields and give me category frequency counts for these token supply records? I have about 50 rows with instrument groups like 'DeFi-A' and 'Layer2-B', dates from 2025-01-01 to 2025-02-28, and circulating/total unit values — I need both reports.","exampleUseCases":[{"title":"Instrument group distribution audit","prompt":"I have 120 token supply snapshot rows across groups like 'eth-mainnet', 'btc-layer2', and 'sol-defi' with dates and circulating/total unit counts — can you run a category frequency analysis to see how many records fall into each instrument group and also normalize any inconsistent string formatting?"},{"title":"Crypto supply data cleanup before reporting","prompt":"Before I publish our monthly token supply report, can you clean up the instrument_group strings and count how frequently each category appears across these 80 snapshot rows? The data covers 2025-03-01 to 2025-03-31 with circulating and total unit fields."},{"title":"Multi-token portfolio supply breakdown","prompt":"I've got 200 rows of daily token supply snapshots for our portfolio covering five instrument groups from 2024-Q4 — please normalize the string fields and give me the category frequency breakdown so I can see which tokens dominate the dataset."}],"resultDescription":"Two analytical reports: (1) a string normalisation report cleaning text fields like instrument_group across up to 200 rows, and (2) a category frequency report counting occurrences of each distinct instrument_group value. No external data is fetched; all analysis runs locally on the supplied rows.","failureModes":["Rows array empty or missing — validation error returned","More than 200 rows submitted — exceeds maxItems limit, request rejected","Invalid date format (not YYYY-MM-DD) — pattern validation failure","circulating_units or total_units outside ±1,000,000,000,000 range — schema validation error","row_id missing or empty — minLength violation","Payment not provided or insufficient — x402 payment required response"],"whenToPreferThis":"Choose this endpoint when you have token supply snapshot data (circulating and total units by instrument group and date) and need both string field normalisation and category frequency counts in a single call for up to 200 rows, at minimal cost ($0.01 USDC for both reports). It is a local analytical engine — no live market data, no predictions, no external lookups — making it ideal for offline batch data quality and exploratory frequency tasks on pre-collected crypto supply datasets.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T12:53:05.021Z","isFirstParty":false,"canonicalSlug":"token-supply-snapshots-string-normalisation-category-frequencies-bc44ff3d"}