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ClearCheck Field Extractor
x402
ClearCheck Field Extractor is a paid API for AI agents from loonie-toll.onrender.com, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-14).
Extracts named fields from unstructured text and returns them as a strict JSON object
Price / call$0.02
Success—
StatusUnknown
How this service works
Pull named fields out of unstructured text as strict JSON. You name the fields, you get an object back.
Output
A JSON object containing: the extracted field values keyed by your requested field names, the count of fields requested, the count of fields successfully found, a verdict string summarizing completeness, the model used for extraction, and a disclaimer. Fields not found in the text are typically null or absent.
Example use cases
Invoice data extraction pipeline
“Extract invoice_number, vendor, amount, due_date, and contact_email from this invoice text: 'Acme Supplies Invoice #9923, total $2,750 due April 30. Contact ar@acmesupplies.com.'”
Resume candidate detail parsing
“From this resume snippet, pull out name, email, phone, and current_title: 'Jane Smith, Senior Product Manager, jane.smith@email.com, 415-555-0192, currently at TechCorp Inc.'”
Support ticket entity capture
“From this customer message, extract order_id, complaint_type, and product_name: 'Hi, my order #ORD-7741 for the UltraBlend Pro blender arrived broken and I need a replacement.'”
Technical details
Endpoint
GEThttps://loonie-toll.onrender.com/extractWhen to prefer
Choose this endpoint when you have unstructured free-form text and need to extract specific named data points as a clean JSON object without writing custom parsing logic. Ideal for invoices, emails, contracts, resumes, and support tickets where field names are known in advance but values are buried in prose. Prefer over generic LLM calls when you want structured, predictable JSON output with a found/requested count for validation.
Side effects
- Text exceeds 6000 character limit — request rejected
- Fields param missing or empty — no extraction performed
- Ambiguous or poorly named fields may return null values
- Text contains no relevant information matching requested fields — found count will be 0
- Payment not sent or insufficient — 402 response blocking access
- Malformed query parameters — 400 error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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