{"uid":"cap_eZ61U3at6SbRYip1jDlHK","slug":"token-holder-observations-numeric-type-check-8874ab0d","name":"Token Holder Observations — Numeric Type Check","description":"Token holder observations — Numeric type check: Numeric type check for Token holder observations. Validate a declared CSV table contract, up to 1000 rows. Quoted cells supported; no external enrichment. Specialised preset in a shared 50-profile, 20-operation engine. 0.01 USDC includes one CSV numeric type check report.","url":"https://market.datapackvibe.com/x402/assistant-bx-csv-token-holders-types?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"csv":{"type":"string","default":"observation_id,observed_on,token_address,holder_count,circulating_tokens\nrecord-a,2026-01-01,group-a,10,2\nrecord-b,2026-01-02,group-b,20,3","maxLength":100000,"minLength":1},"maximum":{"type":"number","default":1000000000000,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":-1000000000000,"maximum":1000000000000,"minimum":-1000000000000},"delimiter":{"enum":[",",";","\t"],"type":"string","default":","},"max_cell_length":{"type":"integer","default":1000,"maximum":5000,"minimum":1},"allowed_categories":{"type":"array","items":{"type":"string","default":"","maxLength":100,"minLength":1},"default":["group-a","group-b"],"maxItems":100,"minItems":0}}},"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_2z5Gj4c8df6v-Ly4X-TTb","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":"Validates that all numeric columns in a token holder observations CSV conform to expected numeric types, range bounds, and allowed categories.","exampleAgentPrompt":"Can you run a numeric type check on my token holder observations CSV? It uses comma delimiters, and I want to make sure holder_count and circulating_tokens are valid numbers between -1000000000000 and 1000000000000 — here's the CSV data: observation_id,observed_on,token_address,holder_count,circulating_tokens\\nrecord-a,2026-01-01,group-a,10,2\\nrecord-b,2026-01-02,group-b,20,3","exampleUseCases":[{"title":"Pre-ingestion token data QA","prompt":"Before I load this token holder observations CSV into our pipeline, can you check that all the numeric columns like holder_count and circulating_tokens actually contain valid numbers and nothing is out of the range of -1000000000000 to 1000000000000? Here's the CSV with comma delimiters."},{"title":"Detecting bad data in holder snapshots","prompt":"I just exported a snapshot of our token holder data as a CSV and I'm worried some rows might have text or nulls in the numeric fields. Can you run a numeric type check on it and tell me which rows have problems? The delimiter is a comma."},{"title":"Validating allowed category values with numeric fields","prompt":"My token holder CSV uses group-a and group-b as the only valid category values — can you validate the numeric columns are all proper numbers and also confirm those are the only categories appearing in the data? Use comma as the delimiter."}],"resultDescription":"A numeric type check report covering up to 1000 rows of the submitted CSV, identifying which cells or rows fail numeric type expectations, fall outside specified min/max bounds, or contain disallowed category values. The report includes conformance status per column and row-level error details.","failureModes":["CSV exceeds 100,000 character limit — request rejected","CSV contains more than 1000 rows — only first 1000 processed or error returned","Invalid delimiter specified — must be comma, semicolon, or tab","Malformed CSV that cannot be parsed — parse error returned","min/max values outside allowed range of -1000000000000 to 1000000000000","Cell length exceeds max_cell_length setting — validation error","Payment not included or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need lightweight, fast numeric type validation specifically for token holder observation CSVs (up to 1000 rows), with support for quoted cells, configurable delimiters, and bounded numeric ranges. Ideal for pre-ingestion QA pipelines, data contract enforcement, or automated checks on crypto token holder snapshots. Not suitable for datasets exceeding 1000 rows or for non-numeric validations like date or string format checks.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T18:48:20.705Z","isFirstParty":false,"canonicalSlug":"token-holder-observations-numeric-type-check-8874ab0d"}