# Neural Interface Records — Source Coverage Map

> Neural Interface Records — Source Coverage Map is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.035225/call, status unknown (last checked 2026-10-23).

Validates declared neural feature metadata against supplied source-artifact digests and pipeline revisions, returning a coverage map of matched and unmatched features.

## Facts

- Endpoint: POST https://www.mahastrategies.com/api/v1/compute/neural-interface-records/source-coverage-map?utm_source=zero.xyz
- Price: $0.035225/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/neural-interface-records-source-coverage-map-530726b1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_gsBQ9wPX1aGx6P5SOzJli

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-source-coverage-map-530726b1 -d '<json body>'
```

Example prompt: Check whether my declared neural feature metadata — all public, non-personal data — matches the source artifact digests I've listed and aligns with pipeline revision 'v2.4.1'. I have 5 features and 3 source digests to verify.

## When to prefer this

Choose this endpoint when you need to validate offline, typed neural interface feature metadata against specific source-artifact digests and pipeline revisions — without processing any raw EEG data, participant identifiers, or model training artifacts. It is ideal for governance, compliance, and pre-submission audits where the goal is confirming source coverage gaps in declared features against known artifact hashes and pipeline versions. Not suitable for raw signal analysis, human performance claims, or real-time EEG processing.

## Known failure modes

- Missing required 'features' array (minItems:1) returns a validation error
- 'nonpersonalMetadata' must be exactly true (const:true); any other value is rejected
- 'dataClass' must be 'public' or 'synthetic'; other values cause schema rejection
- Exceeding 32 items in sources or features arrays triggers a limit error
- Invalid or malformed artifact digests may cause partial coverage maps with unresolvable entries
- Pipeline revision string not recognized may return no-match for revision alignment
- Results unavailable after 24-hour retention window; only receipt metadata remains

## How this service works

Check declared neural feature metadata against supplied source-artifact digests and pipeline revisions. No raw EEG, participant identifiers, model training or human-performance claim. Offline typed metadata only. Retained-result recovery: 24 hours; minimal receipt metadata: 90 days.

## Output

Returns a coverage map indicating which declared neural features are matched against the supplied source-artifact digests and whether the pipeline revision aligns as expected. Includes matched and unmatched feature lists, coverage status per feature, and a pipeline revision alignment result. Full results are retained for 24 hours; minimal receipt metadata persists for 90 days.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "sources": {
   "type": "array",
   "maxItems": 32,
   "minItems": 0
  },
  "features": {
   "type": "array",
   "maxItems": 32,
   "minItems": 1
  },
  "dataClass": {
   "enum": [
    "public",
    "synthetic"
   ],
   "type": "string"
  },
  "nonpersonalMetadata": {
   "type": "boolean",
   "const": true
  },
  "expectedPipelineRevision": {
   "type": "string"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/neural-interface-records-source-coverage-map-530726b1/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)