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Delx Seeded Sample Indices
x402
Delx Seeded Sample Indices is a paid API for AI agents from api.delx.ai, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-14).
Generates a reproducible list of random sample indices from a population using a deterministic seed string, count, and population size.
Price / call$0.001
Success—
StatusUnknown
How this service works
Seeded Sample Indices: Seeded Sample Indices samples unique zero-based indices from a population size from bounded caller-supplied values without an external provider. Call Seeded Sample Indices when an agent needs a reproducible decision that another run can independently replay. Returns the deterministic selection plus seed provenance, population bounds, and the operation-specific outcome for Seeded Sample Indices as versioned deterministic JSON. Price: $0.001 USDC via x402 on Base. First-par…
Output
Returns a JSON object containing an array of sampled integer indices (without replacement), a boolean replacement flag, the operation name, a SHA-256 hash of the input for auditability, confirmation that no data was retained, and an external call count of zero. Status field indicates whether the computation passed.
Example use cases
Reproducible A/B test group assignment
“Using seed 'exp-2024-q3', randomly select 20 indices from a population of 500 so I can assign users to a test group the same way every run.”
Auditable lottery draw
“Draw 3 winning indices from a pool of 50 entries using seed 'lottery-draw-june' — I need the same draw to be verifiable by anyone who reruns it.”
Randomized dataset split for ML
“Split my dataset of 200 samples into a training subset by picking 150 random indices using seed 'train-split-v1' so I can reproduce the split later.”
Technical details
Endpoint
POSThttps://api.delx.ai/api/v1/x402/seeded-sample-indicesWhen to prefer
Choose this endpoint when you need a deterministic, reproducible random index selection — such as for auditable draws, reproducible ML splits, or any workflow where the same seed must always yield the same indices. Prefer it over client-side random sampling when auditability (via input SHA-256 evidence) and zero data retention are required. It is not suitable for weighted sampling, sampling with replacement control beyond the default, or generating non-index random values.
Side effects
- count exceeds population_size when sampling without replacement — likely returns an error or invalid result
- missing required fields (seed, count, population_size) may cause a 400 or validation error
- very large population_size or count values could hit memory or timeout limits
- malformed or excessively long seed string (beyond 8192 chars) may be rejected
- non-integer values for count or population_size will fail schema validation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| seed | string | Seed supplied to Seeded Sample Indices; used only for this bounded calculation and processed in memory without retention. |
| count | integer | Count supplied to Seeded Sample Indices; used only for this bounded calculation and processed in memory without retention. |
| population_size | integer | Population Size supplied to Seeded Sample Indices; used only for this bounded calculation and processed in memory without retention. |
Output
Schema · Response
{
"type": "json",
"example": {
"result": {
"indices": [
87,
14,
63,
47,
69
],
"with_replacement": false
},
"schema": "delx/util-seeded-sample-indices/v1",
"status": "pass",
"evidence": {
"retained": false,
"input_sha256": "cbca27dc467ea1d750fe2e73d7674806e44ebcabbb22317158d7f88f92baf4d0",
"external_calls": 0
},
"operation": "seeded_decision:seeded_sample_indices"
}
}Tags
x402
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