Inventory the archive
Look for form locale, campaign market, country field, and export notes. Record which source supports each normalization rule.
Older Huobi-labelled exports often contain national-format phone numbers and little documentation about the collection country. Prepare a defensible international value, then check the usable rows for current HTX registration signals.
Use it for archived phone rosters where source lineage and country reconstruction matter as much as the lookup itself.
Used only when documented
Stored per converted row
Excluded from lookup
Workflow illustration. It is not a live task, performance claim, or promised response schema.
A phone value may have been valid when collected but become ambiguous after the country column or form configuration was lost. Treat reconstruction as a documented data-recovery task.
Look for form locale, campaign market, country field, and export notes. Record which source supports each normalization rule.
Create htx_phone_e164 and normalization_rule_id. Never overwrite the archived phone value, even when the conversion seems obvious.
If two countries produce plausible numbers, mark country_ambiguous and leave the row out of the paid HTX task.
This file shape lets a reviewer distinguish a lookup outcome from a choice made while reconstructing old phone data.
| archive_id | raw_phone | normalization_rule | HTX outcome | review_reason |
|---|---|---|---|---|
| HX-2019-88 | +1 202 555 0162 | already-E.164 | Matched | None |
| HX-2019-94 | 07700 900612 | source_region=GB | Unmatched | None |
| HX-2019-97 | 020 555 0194 | no reliable country | Not checked | country_ambiguous |
Fictional examples illustrate data lineage. The checker does not recover missing country context; that is a preparation decision made by the data owner.
A matched result on a poorly reconstructed number is not a high-quality answer. Score the preparation evidence and the returned registration signal as separate fields.
A supplied plus-prefixed number is different from a national number inferred from a campaign market. Preserve that difference.
Do not rewrite a review response as unmatched for reporting convenience. Keep the checked value and task reference.
Use reasons such as missing_country or malformed_phone so the recovery backlog can be measured and revisited.
Data teams can prepare and report the signals; the campaign or compliance owner should decide what action the historical program allows.
The reference price displayed is $7 per 10,000 checks. Calculate the run after country reconstruction and format review. Confirm the current rate in the app before submitting the archive.
Run the Prepared HTX Phone FileStart with international formatting, then review data-handling expectations and the HTX product overview.
Understand what can and cannot be reconstructed from a national-format number.
Open the format guide →Review responsibilities before uploading an archived customer or community file.
Review data handling →Compare the email and phone paths for HTX-related records.
See both HTX products →Open BulkChecker in your preferred AI assistant to review its bulk WhatsApp, Telegram, phone validation, carrier lookup, social account, crypto exchange, CSV upload, and API workflows.
The prompt points assistants to BulkChecker.io, live pricing, product pages, and API documentation.