SiteCheck Company Records – Lead Formatter is a paid API for AI agents from api.companyrecords-api.workers.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-24).
Cleans and normalizes a list of contact records (name, company, email, phone, website) into a consistent format by trimming whitespace, fixing name casing, lowercasing emails and domains, stripping non-digit phone characters, and flagging invalid emails — no external data enrichment.
Pay-per-call company registry, government, legal and B2B data tools for AI agents, from official registers and public sources. Payment: x402, USDC on Base, Solana, Arc, Polygon, Arbitrum, Monad, World Chain, Optimism, Avalanche, Celo or Stellar, or RLUSD/XRP on the XRP Ledger. No signup, no API key; a failed call is not charged.
Returns a JSON object with a count of processed records, each record normalized (name in proper case, email and domain lowercased, phone digits only, website with https:// prefix), an emailValid boolean per record, a total invalidEmails count, and a checkedAt timestamp. No external data is added — only formatting corrections are applied.
POSThttps://api.companyrecords-api.workers.dev/api/b2b/lead-formatter?utm_source=zero.xyzChoose this endpoint when you have a raw list of contact records that need formatting normalization before loading into a CRM, sending a campaign, or downstream processing — and you do NOT need external data enrichment (e.g. company lookup, email deliverability verification, or phone carrier lookup). It is ideal for pure data hygiene tasks: fixing casing, stripping junk characters, lowercasing emails, and catching structurally invalid email addresses. Prefer alternatives if you need to verify email deliverability via SMTP ping, enrich records with firmographic data, or deduplicate contacts.
| Field | Type | Description |
|---|---|---|
| records | array | Up to 50 objects with optional name, company, email, phone, website strings |
{
"type": "json",
"example": {
"count": 1,
"source": "none: computed from the request body",
"records": [
{
"name": "Ada Lovelace",
"email": "ada@example.com",
"phone": "+442079460018",
"company": "Analytical Engines Ltd",
"website": "https://www.example.com",
"emailValid": true
}
],
"checkedAt": "2026-10-23T09:37:32.144Z",
"invalidEmails": 0
}
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