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ONE Engine Scaled Difference Series — Parameter 2, Tier 5
x402
ONE Engine Scaled Difference Series — Parameter 2, Tier 5 is a paid API for AI agents from one-search.one-engine.workers.dev, paid per call via x402, $0.0036/call, status unknown (last checked 2026-11-07).
Calculates sequential differences of a numeric series scaled by N=2, returning tier-5 diagnostics with progressively richer output.
Price / call$0.0036
Success—
StatusUnknown
How this service works
Deterministic numeric series utility: Calculate sequential differences scaled by N; parameter=2. Tier 5/10 provides progressively richer diagnostics.
Output
Returns an array of scaled sequential differences (each consecutive pair difference multiplied by the scaling parameter N=2), accompanied by tier-5 progressive diagnostics including intermediate values, step-level metadata, and richer analytical output compared to lower tiers.
Example use cases
Time series delta analysis
“I have a list of daily sales figures [100, 115, 130, 160, 195] — can you compute the sequential differences scaled by 2 and give me the detailed diagnostics so I can see the acceleration in growth?”
Signal processing preprocessing
“Run a scaled-by-2 sequential difference transform on this sensor reading series [0.5, 1.2, 2.1, 3.5, 5.2, 7.4] and return the tier-5 diagnostic output so I can inspect the scaled deltas.”
Numeric sequence rate-of-change check
“For the sequence [10, 13, 17, 22, 28, 35], calculate the consecutive differences scaled by N=2 using the tier-5 detail level so I get the full breakdown of each step.”
Technical details
Endpoint
POSThttps://one-search.one-engine.workers.dev/v12/number-series/scaled-difference/p2/t5?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need deterministic sequential difference calculations with a scaling factor of 2 and want richer tier-5 diagnostic output for debugging, auditing, or analytical purposes. It is best suited for lightweight, low-cost numeric series transformations where you want more than basic output — tier 5 provides progressively more metadata than lower tiers. Prefer this over generic math libraries when you need a pay-per-call, agent-friendly REST interface with structured diagnostics.
Side effects
- Input series too short (fewer than 2 elements) — insufficient data to compute differences
- Invalid or non-numeric values in the series — malformed input error
- Payment not fulfilled via x402 — HTTP 402 response blocking execution
- Server-side computation error for extreme numeric ranges — overflow or precision error
- Missing required POST body fields — 400 bad request
Tags
x402
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