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Token Buy Receipt Shortfall — Adjacent Period Changes
x402
Token Buy Receipt Shortfall — Adjacent Period Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).
Computes adjacent-period changes in token buy receipt shortfall (expected vs actual tokens received) across a supplied sequence of observations.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token buy receipt shortfall — Adjacent period changes: Adjacent period changes for Token buy receipt shortfall. Supplied token observations only. Deterministic calculation or caller-threshold verdict, not a live scan, safety proof or trade recommendation. Specialised preset in a shared 50-profile, 20-operation engine. 0.01 USDC includes one bounded adjacent period changes report.
Output
A bounded report showing the adjacent period-over-period changes in token buy receipt shortfall for each consecutive pair of supplied observations, computed deterministically from the provided expected_tokens and actual_tokens values. The output reflects how the gap between expected and actual tokens shifts from one period to the next, without live market scanning or trade recommendations.
Example use cases
Trend detection in recurring token buys
“I've been buying tokens in batches and keep getting slightly fewer than expected. Here are four consecutive observations: expected 1000/got 950, expected 1100/got 1045, expected 1000/got 950, expected 1100/got 1045 — can you show me how the shortfall is changing from period to period?”
Monitoring slippage degradation over time
“I want to know if my token purchase slippage is getting worse each round. My last six buys had expected values of 500, 500, 500, 500, 500, 500 and actual receipts of 480, 475, 470, 468, 460, 455 — run the adjacent period changes analysis on that.”
Auditing token distribution shortfall shifts
“We're auditing a token distribution program where participants keep receiving fewer tokens than promised. I have 8 periods of expected vs actual data — can you compute the adjacent period changes in the shortfall so I can see where the gaps are accelerating?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-buy-receipt-period-changes?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a sequence of token buy events with known expected and actual token counts and need a deterministic adjacent-period-change calculation on the shortfall — not a live market scan or predictive signal. Ideal for periodic auditing, batch shortfall trend analysis, or automated reporting pipelines where you supply your own observations and want a structured change report per period pair.
Side effects
- Fewer than 2 rows supplied — minItems constraint violation
- Row missing expected_tokens or actual_tokens — required field error
- expected_tokens set to 0 — exclusiveMinimum constraint violation
- Values exceeding 10,000,000,000,000,000 — maximum constraint violation
- Malformed row objects with extra properties — additionalProperties:false rejection
- Empty array payload — schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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