Use case · Regulatory evidence

Review Regulatory Evidence Before Approving a Chinese Supplier

Keep regulatory records, source scope and interpretation separate. An agent needs evidence it can inspect—not a risk label inferred from a name match.

Remote MCP is a Streamable HTTP endpoint for client configuration, not a browser search form.

Distinguish regulatory history from a current compliance decision

Chinese company regulatory history can identify questions for supplier compliance review. Administrative penalties are one type of regulatory evidence; broader datasets may contain abnormal-operation workflow records that are not penalty decisions. Inspect the record type and disposition before applying vendor due diligence rules.

A historical penalty record does not automatically mean a supplier is currently unqualified. A historical workflow entry may not even confirm a negative finding. Keep dates, linkage and current-status uncertainty separate.

  1. Resolve company identity before associating a record with the supplier. Same-name matches without sufficient linkage should remain unresolved.
  2. Read the source evidence with its dataset locator, checked_at, disposition and source-specific fields. Preserve the issuing authority and decision reference when actually present; do not manufacture them.
  3. Apply your own approval policy to confirmed facts. Seek current authoritative records or human review when the evidence is ambiguous, old or outside coverage.

This independent aggregation service is not a government-operated API. It reports available evidence from configured official/open sources; it does not automatically label a company “high risk” or issue compliance clearance.

Choose evidence depth for this task

Free resolution and pay-per-call tools
ToolPriceWhen to use it
resolve_china_companyFreeResolve the company name and inspect ambiguity first; obtain the intended USCC before using paid tools when multiple candidates remain.
get_china_supplier_evidence_basicBasic $0.002 USDCUse Basic to identify whether the configured regulatory summaries and linkage justify further review. Zero confirmed records is not nationwide clearance.
get_china_supplier_evidence_fullFull $0.01 USDCUse Full when reviewers need detailed regulatory evidence rows and provenance. Available records can include broader regulatory history, not necessarily a penalty; read type and disposition rather than treating every row as negative.

No signup. No API key. No prepaid account. x402 · Base USDC. Paid calls still require a compatible funded wallet and explicit spending authorization.

For Full, include_evidence defaults to true; evidence_limit is an integer from 0 to 100. Available rows depend on source coverage; check evidence_meta rather than assuming completeness.

Example structure, not live facts

Example structure: projection of the existing static regulatory-history sample, with all company-specific fields removed. NOT_ENTERED is explicitly not a current abnormal-listing or penalty claim. This is not a live query.

{
  "type": "ABNORMAL_OPERATION_DATASET_RECORD",
  "source": "Shenzhen Government Open Data",
  "dataset": "经营异常名录",
  "dataset_id": "1137936299",
  "checked_at": "2026-09-08T19:30:41Z",
  "record_disposition": "NOT_ENTERED",
  "indicates_abnormal_listing": false,
  "negative_signal": false,
  "current_status_confirmed": false
}

Static example / not_live_query. This is a schema excerpt or field projection, not a complete success response or evidence of any supplier’s current state.

Inspect the original free static example · Inspect the complete schema

Keep source scope attached to the conclusion

Results are limited to configured official/open datasets and must not be interpreted as nationwide completeness. The documented regional datasets do not establish a national regulatory record for a supplier. A checked_at timestamp is not proof that the source record was updated then. Preserve UNKNOWN and do not turn historical evidence into an automatic current-risk conclusion.

Results are limited to configured official/open datasets and must not be interpreted as nationwide completeness.

Use the existing service

Remote MCP: https://cn-evidence-mcp-public.mikeyang7789.workers.dev/mcp

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