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Orbuis Extract JSON
x402
Orbuis Extract JSON is a paid API for AI agents from agents.orbuis.com, paid per call via x402, $0.004/call, status unknown (last checked 2026-09-18).
Extracts structured JSON from unstructured text according to a user-supplied JSON Schema, using Orbuis's on-device model, paid per call via x402 with no API key required.
Price / call$0.004
Success—
StatusUnknown
How this service works
Text tools for AI agents, answered by Orbuis's own on-device model and sold per call over x402. No account or API key. Tools: Summarize text, Extract structured JSON, Ask. Pay in USDC on Base or Arc.
Output
Returns a JSON object with an 'ok' boolean, a 'data' field containing the extracted structured JSON matching the provided schema, and a 'model' field indicating which Orbuis model performed the extraction.
Example use cases
Invoice data extraction pipeline
“Pull out the vendor name, invoice number, total, and due date from this invoice text and return them as a JSON object: 'Invoice #1043 from Acme Corp — total $1,250 due by October 1st, 2026.'”
Contract clause structured parsing
“From this contract excerpt, extract the party names, effective date, and termination conditions into a JSON object with fields partyA, partyB, effectiveDate, and terminationConditions. Here's the text: 'This agreement between Globex Inc. and Initech Ltd. is effective March 1, 2025, and may be terminated with 30 days written notice by either party.'”
Resume skills and experience extraction
“Parse the following resume snippet and extract the candidate's name, years of experience, and a list of technical skills as structured JSON with fields name, yearsExperience, and skills: 'Jane Doe, 8 years in software engineering, proficient in Python, Kubernetes, and PostgreSQL.'”
Technical details
Endpoint
POSThttps://agents.orbuis.com/tools/extract-jsonWhen to prefer
Choose this endpoint when you need to extract structured JSON from unstructured text without managing an API key or account — particularly useful for AI agents that operate autonomously and need pay-per-call access. Prefer it over hosted LLM APIs when you want a lightweight, schema-constrained extraction without OpenAI/Anthropic dependencies, and when paying per call in USDC over x402 fits your agent's payment model.
Side effects
- Text exceeds 12,000 character limit — request rejected
- Provided JSON Schema is unsupported or malformed — extraction fails
- Payment not completed via x402 — 402 response with payment details
- Extracted content cannot satisfy the provided schema — partial or null fields returned
- Source text contains no extractable information matching the schema — empty data object
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | Source text |
| schema | object | JSON Schema the result must satisfy (subset; see description) |
| instructions | string | Optional hints, e.g. date format |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"data": {
"total": 1250,
"vendor": "Acme Corp",
"dueDate": "2026-10-01",
"invoiceNumber": "1043"
},
"model": "orbuis-core"
}
}Tags
x402
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