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Delx Seeded K-Fold Split
x402
Delx Seeded K-Fold Split 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).
Reproducibly splits a set of N items into K folds using a deterministic seed, returning fold-to-index assignments for cross-validation workflows.
Price / call$0.001
Success—
StatusUnknown
How this service works
Seeded Kfold Split: Seeded Kfold Split assigns item indices to reproducible cross-validation folds from bounded caller-supplied values without an external provider. Call Seeded Kfold Split 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 Kfold Split as versioned deterministic JSON. Price: $0.001 USDC via x402 on Base. First-party, state…
Output
Returns a JSON object containing an array of folds, where each fold is a list of integer indices assigned to that fold. Also includes operation metadata such as the schema version, status, whether input was retained (always false), the SHA-256 hash of the input, and the number of external calls made (always 0).
Example use cases
Reproducible ML cross-validation splits
“I have 500 data points and need to split them into 10 folds for cross-validation. Use the seed 'cv-run-001' so I get the same partition every time I re-run the experiment.”
Consistent A/B test group assignment
“Partition 80 users into 4 equal groups for a multi-arm experiment. Use 'abtest-2024' as the seed so the group assignments are reproducible across team members.”
Seeded batch partitioning for parallel jobs
“I want to divide 300 tasks into 6 folds using seed 'batch-seed-99' so each worker gets a deterministic, non-overlapping slice to process.”
Technical details
Endpoint
POSThttps://api.delx.ai/api/v1/x402/seeded-kfold-splitWhen to prefer
Choose this endpoint when you need a deterministic, reproducible k-fold partition of N items using a fixed seed — especially for machine learning cross-validation, reproducible experiments, or consistent parallel job distribution. It is stateless, fast, and leaves no retained data, making it suitable for privacy-sensitive pipelines. Prefer this over custom shuffle logic when you need auditability via input SHA-256 hashing and a guaranteed no-retention policy.
Side effects
- Missing required fields (seed, folds, item_count) result in a validation error
- Non-integer values for folds or item_count may cause a type error
- Requesting more folds than items may produce empty or degenerate folds
- Extremely large item_count values may cause timeout or rejection
- Invalid JSON body returns a 400-level error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| seed | string | Seed supplied to Seeded Kfold Split; used only for this bounded calculation and processed in memory without retention. |
| folds | integer | Folds supplied to Seeded Kfold Split; used only for this bounded calculation and processed in memory without retention. |
| item_count | integer | Item Count supplied to Seeded Kfold Split; used only for this bounded calculation and processed in memory without retention. |
Output
Schema · Response
{
"type": "json",
"example": {
"result": {
"folds": [
[
0,
6
],
[
3,
4
],
[
7,
2
],
[
1,
8
],
[
9,
5
]
]
},
"schema": "delx/util-seeded-kfold-split/v1",
"status": "pass",
"evidence": {
"retained": false,
"input_sha256": "1c82d188bfda6a3b8a6c4d0f5c621ee9924271306631661b47dfd5050597818a",
"external_calls": 0
},
"operation": "seeded_decision:seeded_kfold_split"
}
}Tags
x402
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