# Neural Interface Records - Condition Coverage Map

> Neural Interface Records - Condition Coverage Map is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.035228/call, status unknown (last checked 2026-10-16).

Analyzes synthetic binary window-count data within a declared model/calibration/pipeline frame to compute false-command-window fraction and intention missed-window rates.

## Facts

- Endpoint: POST https://www.mahastrategies.com/api/v1/compute/neural-interface-records/condition-coverage-map?utm_source=zero.xyz
- Price: $0.035228/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/neural-interface-records-condition-coverage-map-0c7994ac
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_cDS9BlFhEeIGEOGJG7D8V

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 neural-interface-records-condition-coverage-map-0c7994ac -d '<json body>'
```

Example prompt: Run a condition coverage map analysis on this neural interface simulation — dataset ref 'sim-2024-07-nir', model digest 'md-abc123', calibration digest 'cal-xyz789', pipeline revision 'v3', and here are the 10 rows of synthetic binary window-count records. I need the false-command-window fraction and missed-window rate.

## When to prefer this

Choose this endpoint when you need to compute binary window-count condition coverage metrics (false-command-window fraction, intention missed-window rate) for synthetic neural interface records within a specific, declared model/calibration/pipeline frame. It is purpose-built for BCI/neural interface simulation analysis and is not intended for real patient data or independent certification.

## Known failure modes

- Invalid or mismatched modelDigest or calibrationDigest returns an error indicating frame mismatch
- Rows array exceeding 32 items or below 1 item is rejected by schema validation
- dataClass not set to 'synthetic' or nonpersonalMetadata not set to true causes request rejection
- Missing required references (datasetRef, simulationRef, pipelineRevision) results in incomplete frame error
- Malformed row data causes computation failure with data format error

## How this service works

Check synthetic binary window-count accounting in one declared model/calibration/pipeline frame and derive exact rest false-command-window fraction and intention missed-window Supplied-record analysis, not independent certification. Full contract at the free describe URL.

## Output

Returns computed condition coverage metrics for the supplied synthetic neural interface records within the declared model/calibration/pipeline frame, including the exact rest false-command-window fraction and intention missed-window rate. Results reflect supplied-record analysis only, not independent certification.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "maxItems": 32,
   "minItems": 1
  },
  "dataClass": {
   "type": "string",
   "const": "synthetic"
  },
  "datasetRef": {
   "type": "string"
  },
  "modelDigest": {
   "type": "string"
  },
  "simulationRef": {
   "type": "string"
  },
  "pipelineRevision": {
   "type": "string"
  },
  "calibrationDigest": {
   "type": "string"
  },
  "nonpersonalMetadata": {
   "type": "boolean",
   "const": true
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/neural-interface-records-condition-coverage-map-0c7994ac/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)