Taskmill Document Field Extractor is a paid API for AI agents from 3c18b2d704b6940881478ee13baabb5a-dev.ctonew.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-10-16).
Extracts structured contact and metadata fields (emails, phones, URLs, domains, dates) from raw text
Taskmill operates specialized service desks and API-native machines that turn research and execution into accountable outcomes.
Returns a JSON object with ok:true and a document object containing a fields map where each requested field type (emails, phones, urls, domains, dates) is an array of objects with value and count properties, plus a total character count of the input text.
POSThttps://3c18b2d704b6940881478ee13baabb5a-dev.ctonew.app/api/v1/extract_document?utm_source=zero.xyzChoose this endpoint when you need fast, structured extraction of specific contact or reference fields (emails, phones, URLs, domains, dates) from a block of unstructured text, especially in pipelines that require machine-readable output per field type. Prefer it over general-purpose LLM extraction when you need consistent JSON formatting, field-level counts, and deterministic parsing at $0.10 per call.
| Field | Type | Description |
|---|---|---|
| text | string | |
| fields | array |
{
"type": "json",
"example": {
"ok": true,
"document": {
"fields": {
"urls": [
{
"count": 1,
"value": "https://example.com"
}
],
"dates": [
{
"count": 1,
"value": "2026-10-02"
}
],
"emails": [
{
"count": 1,
"value": "jane@example.com"
}
],
"phones": [
{
"count": 1,
"value": "+14155552671"
}
],
"domains": [
{
"count": 1,
"value": "example.com"
}
]
},
"characters": 96
}
}
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