# qPCR Run Quality Check

> qPCR Run Quality Check is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.010042/call, status unknown (last checked 2026-10-28).

Validates qPCR run data (Ct replicates, amplification efficiency, and control flags) against fixed research QC thresholds and reports Ct standard deviation plus any failed conditions.

## Facts

- Endpoint: POST https://www.mahastrategies.com/api/v1/compute/biology/qpcr-run-quality?utm_source=zero.xyz
- Price: $0.010042/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-28
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/qpcr-run-quality-check-a054aa46
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_OO7XP01qULhL8qi7mm5OF

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 qpcr-run-quality-check-a054aa46 -d '<json body>'
```

Example prompt: Can you run a QC check on my qPCR data? The Ct values across my replicates are [22.1, 22.4, 22.3, 22.6], amplification efficiency is 95.5%, the no-template negative control passed, the no-RT negative control passed, I have a single melt peak, and my reference gene is stable — data class is synthetic.

## When to prefer this

Use this endpoint when you need automated, rule-based QC assessment of a qPCR run against fixed research thresholds — particularly when you want a structured report of Ct SD and specific failed conditions without needing a clinical diagnostic validation framework. Prefer this over manual spreadsheet checks or general statistics endpoints when the input is specifically Ct replicate arrays combined with efficiency and control metadata.

## Known failure modes

- Fewer than 1 or more than 128 Ct values supplied — validation error
- Efficiency value outside the acceptable numeric range — rejected input
- Missing required fields such as dataClass — schema validation failure
- Ct values with extreme outliers may produce high SD flags that are not indicative of a true run failure
- Ambiguous control states (e.g. null boolean flags) may be treated as absent rather than passed

## How this service works

Check supplied Ct replicates, efficiency and control declarations against fixed research QC bands; report Ct SD and failed conditions. No diagnostic validation. New modular adapter: retained result recovery for 24 hours, minimal receipt metadata for 90 days. Existing live route unchanged.

## Output

Returns the computed Ct standard deviation across the supplied replicates, a list of specific QC conditions that failed (e.g. high Ct SD, out-of-range efficiency, failed controls), and an overall QC pass/fail indication. Results are retained for 24 hours; minimal receipt metadata is stored for 90 days.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "ct": {
   "type": "array",
   "maxItems": 128,
   "minItems": 1
  },
  "dataClass": {
   "enum": [
    "public",
    "synthetic"
   ],
   "type": "string"
  },
  "efficiency": {
   "type": "number",
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "noRTNegative": {
   "type": "boolean"
  },
  "meltSinglePeak": {
   "type": "boolean"
  },
  "referenceStable": {
   "type": "boolean"
  },
  "noTemplateNegative": {
   "type": "boolean"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/qpcr-run-quality-check-a054aa46/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from www.mahastrategies.com](https://www.zero.xyz/host/www.mahastrategies.com/llms.txt)