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Token Assessment Evidence Coverage — Threshold Classification
x402
Token Assessment Evidence Coverage — Threshold Classification is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).
Classifies token assessment evidence coverage ratios against caller-defined lower/upper thresholds across multiple rows of observed vs. requested field counts.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token assessment evidence coverage — Threshold classification: Threshold classification for Token assessment evidence coverage. Supplied token observations only. Deterministic calculation or caller-threshold verdict, not a live scan, safety proof or trade recommendation. Specialised preset in a shared 50-profile, 20-operation engine. 0.01 USDC includes one bounded threshold classification report.
Output
Returns a bounded threshold classification report for each input row, indicating whether the ratio of observed_fields to requested_fields falls below, within, or above the specified lower/upper threshold bounds. The result is deterministic based on the supplied values — no live data scan or external lookup is performed.
Example use cases
Token data completeness compliance check
“I have a list of token assessments where row 1 observed 7 fields out of 10 requested and row 2 observed 5 out of 8 requested — can you classify each one as within or outside my acceptable coverage range of 50 to 90?”
Batch coverage threshold audit for token portfolio
“Run a threshold classification on these four token observations: (8/10), (8.8/11), (6/10), (9/11) — using a lower bound of 0 and upper bound of 100 — and tell me which ones pass the coverage threshold.”
Minimum evidence coverage gate for token screening
“Before I proceed with this token, I need to know if its evidence coverage clears my minimum standard — it has 12 observed fields out of 15 requested. Classify it against a lower threshold of 70 and upper threshold of 95.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-evidence-coverage-threshold?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a fast, deterministic threshold classification of token evidence coverage ratios across multiple observations, and you want to supply your own lower/upper bounds rather than using a fixed standard. It is not a live scan, safety proof, or trade recommendation — prefer it for batch compliance checks, data quality gates, or automated screening pipelines where reproducibility and low cost per call matter.
Side effects
- requested_fields must be greater than 0 (exclusiveMinimum); passing zero causes a validation error
- fewer than 2 rows submitted returns an error (minItems: 2)
- more than 200 rows submitted returns an error (maxItems: 200)
- lower threshold greater than upper threshold may produce unexpected classification behavior
- non-numeric field values cause schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| lower | number | |
| upper | number |
Tags
x402
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