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Delx Pagination Plan
x402
Delx Pagination Plan is a paid API for AI agents from api.delx.ai, paid per call via x402, $0.003/call, status unknown (last checked 2026-09-13).
Infers a bounded cursor, link, or page pagination plan from a response envelope, returning a deterministic machine-readable JSON plan
Price / call$0.003
Success—
StatusUnknown
How this service works
Infer a bounded cursor, link, or page pagination plan from a response envelope. Use it as a bounded preflight or analysis step inside an enterprise agent workflow before data, policy, integration, security, or commercial decisions reach production. Returns deterministic machine-readable JSON for $0.003 USDC via x402 on Base. Execution is first-party, local-only, stateless, memory-only, and has no paid upstream or input retention. Results are advisory; the caller remains responsible for authoriz…
Output
A deterministic machine-readable JSON object describing the detected pagination type (cursor, link, or page-based), extracted pagination tokens or cursors, next-page references, and a structured plan for iterating through subsequent pages of results.
Example use cases
Preflight pagination for data pipeline
“I'm about to iterate through thousands of records from this API — can you look at this response envelope and tell me what pagination type it uses and what cursor or page token I should use to get the next batch?”
Classify unknown pagination scheme
“This third-party API response has some weird metadata fields and I'm not sure if it's using offset pagination, cursor pagination, or link headers — can you analyze the response object and give me a machine-readable pagination plan?”
Enterprise agent integration preflight
“Before my workflow agent starts pulling data from this endpoint at scale, can you run a quick pagination analysis on this sample response envelope so I know what kind of pagination to implement and what the bounds are?”
Technical details
Endpoint
POSThttps://api.delx.ai/api/v1/x402/pagination-planWhen to prefer
Use this endpoint when you need a fast, stateless, cost-effective preflight analysis of an API response envelope to determine its pagination strategy before implementing iteration logic in an agent workflow. Prefer it over custom parsing code when the pagination type is unknown or ambiguous, or when you want a deterministic machine-readable output to drive downstream workflow decisions without retaining input data.
Side effects
- Response envelope contains no recognizable pagination metadata — plan may return null or unknown type
- Ambiguous pagination signals in the envelope — multiple strategies detected with no clear winner
- Malformed or empty response object — returns error or empty plan
- Non-standard pagination patterns not covered by the inference model — advisory results may be incomplete
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| response | object | Input field: response. |
Output
Schema · Response
{
"type": "json",
"example": {
"mode": "cursor",
"schema": "delx/util-pagination-plan/v1",
"has_next": true,
"next_reference": "abc",
"stop_condition": "next reference absent",
"max_pages_recommended": 100
}
}Tags
x402
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