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Solgiery Random – Ordered Sample
x402
Solgiery Random – Ordered Sample is a paid API for AI agents from api.solgiery.com, paid per call via x402, $0.007/call, status unknown (last checked 2026-09-14).
Selects a specified count of items from an input array as an ordered sample, with or without replacement, using a cryptographically secure server-side RNG.
Price / call$0.007
Success—
StatusUnknown
How this service works
Select count items as an ordered sample. replace defaults to false: each original index may occur once and count must not exceed the input length. With replace=true, draws are independent and indices may repeat. Uses the server OS CSPRNG. Returns consumed bytes for reproducible calculation, not proof of their origin. Price: 0.007 USDC per request, including the bounded batch.
Output
Returns the sampled items in draw order along with their original indices in the input array, plus the number of CSPRNG bytes consumed (for reproducible byte-cost calculation). When replace=false, each original index appears at most once and count must not exceed input length. When replace=true, indices may repeat.
Example use cases
Random contest winner selection
“I have a list of 200 contest entrant names and I need to pick 10 winners randomly without any repeats — can you draw a cryptographically random sample of 10 from the list?”
Bootstrap resampling for statistics
“For a bootstrap analysis I need to resample 50 items from my dataset of 50 records with replacement allowed — please draw that sample using secure randomness.”
Random quiz question selection
“I have a pool of 30 quiz questions and need to randomly pick 8 distinct ones for today's quiz — can you sample 8 items without replacement using your cryptographic RNG?”
Technical details
Endpoint
POSThttps://api.solgiery.com/v1/random/sampleWhen to prefer
Choose this endpoint when you need to draw multiple items from a collection as an ordered sample with cryptographic security guarantees — especially when auditability (via consumed bytes reporting) matters. Prefer it over a shuffle+slice approach when you want explicit control over sample size and replacement semantics. Use replace=false for lottery-style selection (no duplicates) and replace=true for statistical bootstrapping.
Side effects
- count exceeds items length when replace=false — returns validation error
- items array is empty or count is 0 — rejected by schema minimum constraints
- count or items array exceeds 1000 — schema maximum violation
- payment not settled — 402 payment required response
- malformed request body — 400 bad request
- server-side RNG failure — 500 internal server error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| count | integer | |
| items | array | |
| replace | boolean |
Tags
x402
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