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Token Holder Observations — Numeric Range Check
x402
Token Holder Observations — Numeric Range Check is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Validates numeric columns in a token holder observations CSV table by checking that all values fall within a specified minimum/maximum range.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token holder observations — Numeric range check: Numeric range 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 range check report.
Output
A numeric range check report identifying which cells or rows in the token holder observations CSV contain values outside the specified minimum/maximum bounds, covering up to 1,000 rows with support for quoted cells and configurable delimiter and cell length settings.
Example use cases
Pre-publish token data QA check
“Before I publish this token holder dataset, can you validate that all numeric columns — holder_count and circulating_tokens — stay between 0 and 500,000,000 in this CSV? It's comma-delimited and the allowed categories are group-a and group-b.”
Anomaly detection in holder count data
“I have a CSV of daily token holder observations and I want to make sure no holder_count values go below 1 or above 10,000,000 — can you run a numeric range check on it and tell me which rows fail?”
Data pipeline integrity validation
“As part of my automated pipeline, I need to verify that the circulating_tokens column in this token holder CSV never exceeds 1,000,000,000 and never drops below 0 — please run the range validation and report any violations.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-token-holders-ranges?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to validate that numeric fields in a token holder observations CSV conform to expected bounds, particularly for blockchain/DeFi datasets tracking holder counts and circulating supply. It is purpose-built for this schema (observation_id, observed_on, token_address, holder_count, circulating_tokens) with category-aware validation and no external enrichment, making it fast and deterministic. Prefer it over general CSV validators when your data is specifically structured as token holder observations and you need a focused range-check report.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- CSV contains more than 1,000 rows — only first 1,000 may be processed
- Malformed CSV that cannot be parsed — error returned
- Minimum value greater than maximum value — invalid range error
- Cell length exceeds max_cell_length setting — cell flagged or truncated
- Payment not provided or invalid — 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| csv | string | |
| maximum | number | |
| minimum | number | |
| delimiter | string | |
| max_cell_length | integer | |
| allowed_categories | array |
Tags
x402
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