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Token Buy Receipt Shortfall — Benchmark Correlation
x402
Token Buy Receipt Shortfall — Benchmark Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Computes the Pearson or similar correlation between token buy receipt shortfall ratios and a set of caller-supplied benchmark values across multiple observations.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token buy receipt shortfall — Benchmark correlation: Benchmark correlation 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 benchmark correlation report.
Output
Returns a deterministic benchmark correlation report quantifying the statistical relationship between the computed token buy shortfall ratios (actual vs expected tokens) and the supplied benchmark series. Includes a correlation coefficient and a caller-threshold verdict indicating whether the correlation meets specified criteria. Not a live market scan, safety proof, or trade recommendation.
Example use cases
Token receipt audit against thresholds
“I have 5 token purchases where I expected 500, 750, 1000, 1200, and 1500 tokens but actually received 480, 710, 960, 1150, and 1430. Can you correlate those shortfalls against benchmarks of 5, 10, 15, 20, and 25 to see how aligned they are?”
Exchange shortfall pattern benchmarking
“Across 6 trades on our exchange, expected token amounts were 200, 400, 600, 800, 1000, 1200 and actuals were 190, 382, 571, 756, 945, 1134 — run a benchmark correlation against reference values 1, 2, 3, 4, 5, 6 so I can see if the shortfall scales linearly.”
DeFi pool receipt discrepancy analysis
“We tracked 3 DeFi pool token buys: expected 10000, 25000, 50000 tokens with actuals of 9500, 23750, 47500. Correlate those shortfalls against our internal benchmarks of 100, 250, 500 and give me the correlation report.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-buy-receipt-correlation?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, deterministic, low-cost ($0.01 USDC) statistical correlation between token buy receipt shortfalls and a reference benchmark series. Ideal when you have pre-collected token observation data (expected vs actual) and want a quantified benchmark correlation verdict without requiring a live market scan or real-time data feed. Best for offline auditing, backtesting shortfall patterns, or validating token delivery consistency against known reference benchmarks.
Side effects
- Fewer than 2 rows provided — minItems constraint violation
- More than 200 rows or benchmarks submitted — maxItems exceeded
- expected_tokens value of 0 submitted — exclusiveMinimum violation
- Mismatched array lengths between rows and benchmarks may yield unexpected results
- Non-numeric values in token fields cause schema validation failure
- Missing required fields (expected_tokens or actual_tokens) in any row
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| benchmarks | array |
Tags
x402
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