# Scientific Dataset Records - Duplicate Identity Detector

> Scientific Dataset Records - Duplicate Identity Detector is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.010338/call, status unknown (last checked 2026-10-16).

Groups scientific dataset records by declared organization, record, and revision identities to detect and surface duplicate entries across sources, jurisdictions, and record kinds.

## Facts

- Endpoint: POST https://www.mahastrategies.com/api/v1/intel/scientific-dataset-records/duplicate-record-identities?utm_source=zero.xyz
- Price: $0.010338/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/scientific-dataset-records-duplicate-identity-detector-a2ede25b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_EraPl1fVl_x8BI3xDCP0y

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 scientific-dataset-records-duplicate-identity-detector-a2ede25b -d '<json body>'
```

Example prompt: Check this batch of up to 32 public scientific dataset rows for duplicate record identities — group them by organization, record, and revision, and compare across all sources and jurisdictions to flag any duplicates.

## When to prefer this

Use this endpoint when you need to detect duplicate scientific dataset records by comparing declared identity fields (organization, record, revision) across multiple sources and jurisdictions, especially as a pre-ingestion or data-quality audit step. Prefer this over generic deduplication tools when working specifically with scientific dataset metadata in public or synthetic data classes with nonpersonal metadata constraints.

## Known failure modes

- Rows array empty or exceeds 32-item limit — validation error
- dataClass not set to 'public' or 'synthetic' — enum validation failure
- nonpersonalMetadata not set to true (const constraint) — request rejected
- Malformed row objects with missing declared identity fields — incomplete grouping results
- Payment not completed via x402 protocol — 402 Payment Required response

## How this service works

Group declared organization/record/revision identities and compare every source, jurisdiction, record-kind and content Supplied-record analysis, not independent certification. Full contract at the free describe URL.

## Output

Returns grouped sets of dataset rows that share declared organization, record, and revision identities, with comparisons broken down by source, jurisdiction, record kind, and content pins. The analysis highlights duplicate clusters but does not independently certify records.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/scientific-dataset-records-duplicate-identity-detector-a2ede25b/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)