# ASIC Efficiency Improvement — Sequential Input-Change Attribution

> ASIC Efficiency Improvement — Sequential Input-Change Attribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).

Computes a sequential (waterfall) attribution report showing how changes in ASIC joules-per-terahash (J/TH) efficiency affect mining economics, comparing before and after scenarios.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-bx-mining-efficiency-saving-waterfall?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/asic-efficiency-improvement-sequential-input-change-attribution-b1641487
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Ibc2KiGmPMmusqDMYIsLr

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability asic-efficiency-improvement-sequential-input-change-attribution-b1641487 -d '<json body>'
```

Example prompt: Run a sequential input-change attribution waterfall for my ASIC upgrade: before the upgrade my miner was 25 J/TH dropping to 20 J/TH, and after the upgrade it went from 27.5 J/TH down to 22 J/TH — show me how the efficiency improvement breaks down.

## When to prefer this

Choose this endpoint when you need a structured, sequential (waterfall-style) attribution of efficiency changes between two ASIC J/TH scenarios — specifically when you want to understand which input changes drive the improvement step by step, rather than a simple before/after delta. It is purpose-built for mining hardware efficiency analysis using user-supplied J/TH assumptions, and at $0.01 USDC per call it is cost-effective for one-off or automated reporting workflows.

## Known failure modes

- Zero or negative J/TH values rejected (exclusiveMinimum: 0)
- Missing required old_jth or new_jth fields in either before or after object returns validation error
- Extremely large J/TH values (approaching max 10^16) may produce unreliable output
- Malformed JSON body returns 400 error
- Payment failure or insufficient USDC balance blocks the call (x402 payment required)

## How this service works

ASIC efficiency improvement — Sequential input-change attribution: Sequential input-change attribution for ASIC efficiency improvement. 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 sequential input-change attribution report.

## Output

A bounded sequential input-change attribution report that breaks down how each change in J/TH (joules per terahash) across the before and after scenarios contributes to overall ASIC efficiency improvement, presented as a waterfall/step-by-step attribution using the supplied mining assumptions and disclosed formula and units. No live prices or guaranteed return projections are included.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "after": {
   "type": "object",
   "default": {
    "new_jth": 22,
    "old_jth": 27.500000000000004
   },
   "required": [
    "old_jth",
    "new_jth"
   ],
   "properties": {
    "new_jth": {
     "type": "number",
     "default": 20,
     "maximum": 10000000000000000,
     "minimum": 0,
     "exclusiveMinimum": 0
    },
    "old_jth": {
     "type": "number",
     "default": 25,
     "maximum": 10000000000000000,
     "minimum": 0,
     "exclusiveMinimum": 0
    }
   },
   "additionalProperties": false
  },
  "before": {
   "type": "object",
   "default": {
    "new_jth": 20,
    "old_jth": 25
   },
   "required": [
    "old_jth",
    "new_jth"
   ],
   "properties": {
    "new_jth": {
     "type": "number",
     "default": 20,
     "maximum": 10000000000000000,
     "minimum": 0,
     "exclusiveMinimum": 0
    },
    "old_jth": {
     "type": "number",
     "default": 25,
     "maximum": 10000000000000000,
     "minimum": 0,
     "exclusiveMinimum": 0
    }
   },
   "additionalProperties": false
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/asic-efficiency-improvement-sequential-input-change-attribution-b1641487/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)