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ASIC Repair Simple Payback — IQR Outlier Flags
x402
ASIC Repair Simple Payback — IQR Outlier Flags 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).
Identifies IQR-based statistical outliers in ASIC repair simple payback calculations across a batch of repair cost and restored daily revenue pairs.
Price / call$0.01
Success—
StatusUnknown
How this service works
ASIC repair simple payback — IQR outlier flags: IQR outlier flags for ASIC repair simple payback. Supplied mining assumptions only; formula and units disclosed. No live prices, mining or guaranteed return. Specialised preset in a shared 50-profile, 20-operation engine. 0.01 USDC includes one bounded iqr outlier flags report.
Output
Returns a bounded IQR outlier flags report for each submitted row, indicating which repair-cost/restored-daily-revenue pairs produce simple payback periods that fall outside the interquartile range of the dataset. Formula and units are disclosed. No live pricing or guaranteed returns are included.
Example use cases
Screening bulk miner repair quotes
“I got repair quotes for 8 ASICs ranging from $180 to $9500, with restored daily revenues between $3.80 and $4.20 — run IQR outlier detection on the payback figures so I can spot which quotes are suspiciously expensive.”
QA check on modeled repair assumptions
“Before I finalize my spreadsheet, flag any IQR outliers in these 12 repair-cost and restored-daily-revenue pairs so I can check if any of my input assumptions are way off.”
Filtering extreme data before trend analysis
“I want to do a payback trend analysis on my ASIC repairs but first I need to remove statistical outliers — can you run the IQR outlier flags on these 20 repair scenarios with costs from $100 to $800 and daily restorations from $2 to $6?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-mining-repair-payback-outliers?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have a batch of ASIC repair cost and restored daily revenue pairs and need to statistically identify which observations are outliers using the interquartile range method. Prefer this over manual review or generic statistics APIs when working specifically within the ASIC mining repair payback domain with user-supplied assumptions and needing a bounded, ready-to-use outlier flag report at low cost.
Side effects
- Fewer than 2 rows submitted — minimum is 2 items
- More than 200 rows submitted — maximum batch size exceeded
- repair_usd or restored_daily_usd is zero or negative — exclusiveMinimum constraint violated
- Malformed row objects with extra or missing properties — additionalProperties:false enforced
- Payment not fulfilled — x402 payment required before response is returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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