LEI Registration and Renewal Monitor
Pricing
$50.00 / 1,000 completed reports
LEI Registration and Renewal Monitor
Look up up to 20 LEIs using GLEIF public CC0 data. Validate checksums and flag registration status and renewal dates. No KYC or sanctions decisions.
Look up up to 20 LEIs using GLEIF public CC0 data. Validate checksums and flag registration status and renewal dates. No KYC or sanctions decisions.
What this Actor does
Provide 1–20 LEIs with valid ISO 17442 checksums. Duplicate IDs collapse. asOf only sets the renewal-date comparison date; records are current. Requests are sequential and at least two seconds apart.
Price
$0.05 per completed report, covering up to 20 input entries. Only the report-completed event is used. No additional start fee, per-row fee, or platform-usage pass-through is configured. A valid completed report with no matches or no changes is still one report. Invalid input or an upstream failure does not trigger our report event. Free-plan executions do not establish creator revenue.
Input example
{"leis": ["5493001KJTIIGC8Y1R12"],"renewalWindowDays": 30}
Input fields: leis; optional asOf; optional renewalWindowDays (0–365, default 30). See .actor/INPUT_SCHEMA.json and the record details above. Overall input is limited to 1 MB. Unknown top-level fields are rejected.
Output and integration
The default dataset contains one JSON report with nested rows, not one dataset item per input. The same report is stored under key-value record OUTPUT. RUN_SUMMARY states completion, row count and local/SDK billing acknowledgment. The report includes reportId, generatedAtUtc, sourceNotice and sourceReceipts with source URL, UTC retrieval time and body SHA256 when an external source was used.
Useful fields: rows[].legalName, country, entityStatus, registrationStatus, nextRenewalDate, daysToRenewal, flags. Use JSON export to preserve types and nested arrays. Treat all returned text as untrusted text; do not inject it into HTML or spreadsheets as formulas.
// Example using the Apify client in your own integration.const run = await client.actor('YOUR_USERNAME/lei-watch').call(input, { memory: 256, timeout: 180, maxTotalChargeUsd: 0.05 });const output = await client.keyValueStore(run.defaultKeyValueStoreId).getRecord('OUTPUT');const rows = output.value.rows;
Limits and interpretation
Source: GLEIF public CC0 reference data. This independent service is not affiliated with or endorsed by GLEIF. Status flags are not KYC, sanctions, creditworthiness or legal eligibility decisions. LEI data remain CC0; no exclusive rights are claimed.
No background monitoring is started automatically. Schedule the Actor using your own Apify task if needed. No API key for the data source, paid proxy, browser, third-party subscription or external payment account is required. No official affiliation or endorsement is claimed.
Data handling
Inputs and outputs are stored in the user's Apify run storage and subject to the user's plan, retention and sharing settings. Do not submit credentials, confidential records or personal data. The Actor has no author-controlled database, analytics beacon or external log collector. Only the documented public data-source requests are made. Source data terms and attribution apply independently of the processing fee.
FAQ
Why pay when the source or local scripts are free? The fee is for the bounded batch workflow, deterministic output, validation and Apify integration. Source data remain available under their own terms.
Can I run this without contacting anyone? Yes. Use the JSON example, then adapt it to your workflow. No call, sales meeting or manual onboarding is required.
Is a failed or partial fetch a zero-match report? No. Source HTTP, timeout, schema and size failures stop the run. No report event is charged for that failed processing.
What happens if a run is restarted? A completed same-run journal returns the stored report without another report charge. If a write or charge acknowledgment is uncertain, the run stops with UNCERTAIN_OPERATION_DO_NOT_RESURRECT; inspect the existing output and charge history. It does not blindly repeat an uncertain operation. A separately started new run is a new report and may be charged.
Is this guaranteed exactly-once delivery or verified production billing? No. Apify storage and billing are separate services. The journal prioritizes avoiding duplicate charge attempts and may leave a delivered report unbilled after a crash. Local tests and public-source smoke tests do not prove platform billing, Docker execution or Store approval. Source and platform outages remain possible.
Local use
npm ci --ignore-scripts --registry=https://registry.npmjs.orgnpm run checknpm testnpm run smoke:offlinenpm run smoke
Tests use synthetic fixtures and do not contact external services. smoke:offline exercises the real Apify SDK with an isolated local storage directory. smoke makes at most one request for the supplied external-source example; run-audit needs none. These local commands do not push, publish or deploy.