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Delx Seeded Derangement
x402
Delx Seeded Derangement is a paid API for AI agents from api.delx.ai, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-15).
Shuffle a list into a guaranteed derangement (no element remains in its original position) using a deterministic seed string.
Price / call$0.001
Success—
StatusUnknown
How this service works
Seeded Derangement: Seeded Derangement finds a reproducible permutation where no item keeps its position from bounded caller-supplied values without an external provider. Call Seeded Derangement 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 Derangement as versioned deterministic JSON. Price: $0.001 USDC via x402 on Base. First-party,…
Output
Returns a JSON object with the reordered list under result.items, a boolean result.deranged confirming no element is in its original position, an input_sha256 hash of the inputs for auditability, a count of external_calls (always 0), a retained flag (always false), and an operation identifier. The schema version is included as delx/util-seeded-derangement/v1.
Example use cases
Reproducible quiz question shuffler
“I have a list of answer choices ["Paris","London","Berlin","Madrid"] and I want to shuffle them so none stays in position, always the same way for a given quiz ID — use seed "quiz-7734".”
Seeded card deal for game simulation
“Deal these cards ["Ace","King","Queen","Jack","Ten"] into a derangement using seed "round-2-session-9" so the deal is reproducible but no card ends up in its starting slot.”
A/B test variant assignment
“Take my condition labels ["control","variant-A","variant-B","variant-C"] and produce a deranged ordering with seed "experiment-2024-05" so every label moves and the result is the same each run.”
Technical details
Endpoint
POSThttps://api.delx.ai/api/v1/x402/seeded-derangementWhen to prefer
Use this endpoint when you need a guaranteed derangement (not just any shuffle) and require reproducibility via a seed — for example, in test fixtures, game logic, or controlled experiments where the same seed must always produce the same deranged order. Prefer it over generic shuffle utilities when the no-fixed-point constraint must be verified and attested, or when you need an audit trail (sha256 hash) proving the exact inputs used.
Side effects
- Input list too large (exceeds 256 items) — request rejected
- Seed string exceeds 8192 characters — validation error
- Single-element list cannot be deranged — deranged flag may be false or error returned
- Empty list input — may return empty result or error
- Malformed JSON body — 400 bad request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| seed | string | Seed supplied to Seeded Derangement; used only for this bounded calculation and processed in memory without retention. |
| items | array | Items supplied to Seeded Derangement; used only for this bounded calculation and processed in memory without retention. |
Output
Schema · Response
{
"type": "json",
"example": {
"result": {
"items": [
"d",
"c",
"b",
"a"
],
"deranged": true
},
"schema": "delx/util-seeded-derangement/v1",
"status": "pass",
"evidence": {
"retained": false,
"input_sha256": "f561874b3e88794b12ca33fdf8a62ffe0b8f93dd08edf86088c58253e0378b49",
"external_calls": 0
},
"operation": "seeded_decision:seeded_derangement"
}
}Tags
x402
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