Back to schemasure.com
Card snapshot
schemasure.com
·
2026-07-31 18:57:11 UTC
·
5580bdcc53c2827acb39b2321ae4fdb3e06e8aadc97e6ac2cca9a57cb5d4dca1
This is a frozen copy of the agent's agent-card.json as we observed it at the timestamp above. We capture a new snapshot every time the card's content hash changes. Useful for: forensic drift analysis, verifying downstream callers see the right version, reproducing routing decisions made historically.
{
"protocolVersion": "0.2.0",
"name": "SchemaSure",
"description": "Pay-per-call APIs that extract strict, JSON-Schema-valid typed JSON from unstructured text, HTML, or document images. Output is guaranteed to validate against the caller-supplied JSON Schema (Ajv, draft 2020-12) or the request returns a typed error and is not charged (charge-only-on-success). Both production services use x402 V2 with USDC on Base mainnet; the image service is always paid and has no V1 or free route. A legacy V1 text endpoint provides limited free evaluation calls. No signup, API keys, or account dashboard \u2014 built for autonomous AI agents.",
"url": "https://schemasure.com/v2/extract",
"preferredTransport": "JSONRPC",
"provider": {
"organization": "SchemaSure",
"url": "https://schemasure.com"
},
"version": "0.2.0",
"documentationUrl": "https://schemasure.com/llms.txt",
"iconUrl": "https://schemasure.com/icon.svg",
"capabilities": {
"streaming": false,
"pushNotifications": false,
"stateTransitionHistory": false
},
"defaultInputModes": [
"application/json",
"text/plain",
"image/png",
"image/jpeg",
"image/webp"
],
"defaultOutputModes": [
"application/json"
],
"skills": [
{
"id": "extract_to_schema",
"name": "Extract to JSON Schema",
"description": "Turn any unstructured text or HTML into JSON that is guaranteed to validate against a caller-supplied JSON Schema, or return a typed error with no charge. General-purpose: your schema defines the domain (invoices, receipts, resumes, product pages, logs, etc.) \u2014 there is no per-document-type specialization. For best accuracy, add a `description` to ambiguous fields (e.g. \"tax rate as a decimal such as 0.0725\") and make optional fields nullable so absent values return null instead of a guess. Accepts text/HTML input (inputType text|html|auto); OCR noise, number/date formats, and detail lines are normalized automatically. Benchmarked 100% schema-valid with ~0.99 field F1 and zero hallucinations across a 10-doc-type corpus (11 items, incl. an adversarial prompt-injection tier), p50 latency ~1.5s. Evidence: /.well-known/benchmarks.json. Live operational counters are at /metrics.",
"tags": [
"x402",
"structured-output",
"ai-agents",
"structured-data",
"json",
"extraction",
"schema",
"json-schema",
"text-to-json",
"image-to-json",
"ocr",
"vision",
"data-cleaning",
"parsing",
"llm",
"agents"
],
"examples": [
"Extract invoice fields into {invoiceNumber, total, dueDate} as valid JSON.",
"Turn this resume text into a structured JSON object matching my schema.",
"Parse this HTML product page into {name, price, sku} JSON."
],
"inputSchema": {
"type": "object",
"additionalProperties": false,
"required": [
"input",
"schema"
],
"properties": {
"input": {
"type": "string",
"minLength": 1,
"description": "Raw unstructured content to extract from (plain text or HTML)."
},
"inputType": {
"type": "string",
"enum": [
"text",
"html",
"auto"
],
"default": "auto",
"description": "How to interpret `input`: plain text, HTML, or auto-detect (default)."
},
"schema": {
"type": "object",
"description": "JSON Schema (draft 2020-12) that the returned `data` is guaranteed to satisfy."
},
"options": {
"type": "object",
"additionalProperties": false,
"properties": {
"maxRepairs": {
"type": "integer",
"minimum": 0,
"maximum": 5,
"description": "Max validate->re-prompt repair iterations."
},
"strict": {
"type": "boolean",
"default": true,
"description": "Drop fields not present in the schema."
},
"deterministic": {
"type": "boolean",
"default": true,
"description": "Enable deterministic pre-extraction hints."
}
}
}
}
},
"outputSchema": {
"type": "object",
"required": [
"data",
"meta"
],
"properties": {
"data": {
"description": "Extracted value; guaranteed to validate against the request `schema`."
},
"meta": {
"type": "object",
"required": [
"repairs",
"latencyMs",
"validated"
],
"properties": {
"repairs": {
"type": "integer"
},
"latencyMs": {
"type": "integer"
},
"validated": {
"const": true
},
"deterministicFields": {
"type": "array",
"items": {
"type": "string"
}
}
}
}
}
}
},
{
"id": "extract_image_to_schema",
"name": "Extract Document Image to JSON Schema",
"description": "Turn a base64-encoded PNG, JPEG, or WebP scan or document image into JSON guaranteed to validate against a caller-supplied JSON Schema, or return a typed error with no charge. Useful for invoices, receipts, forms, labels, screenshots, and photographed documents. This service is V2-only, always paid, and has no free or V1 image endpoint. Add descriptions to ambiguous schema fields for best accuracy.",
"tags": [
"x402",
"structured-output",
"ai-agents",
"structured-data",
"json",
"extraction",
"schema",
"json-schema",
"text-to-json",
"image-to-json",
"ocr",
"vision",
"data-cleaning",
"parsing",
"llm",
"agents"
],
"examples": [
"Extract invoice number, vendor, dates, line items, tax, and total from this invoice scan.",
"Read this receipt image into a schema with merchant, items, subtotal, tax, and total.",
"Convert this photographed form into validated structured JSON."
],
"inputSchema": {
"type": "object",
"additionalProperties": false,
"required": [
"image",
"schema"
],
"properties": {
"image": {
"type": "object",
"additionalProperties": false,
"required": [
"data",
"mimeType"
],
"properties": {
"data": {
"type": "string",
"minLength": 1,
"contentEncoding": "base64",
"description": "Base64-encoded image bytes without a data-URL prefix."
},
"mimeType": {
"type": "string",
"enum": [
"image/png",
"image/jpeg",
"image/webp"
],
"description": "Declared image media type; it must match the decoded file signature."
}
}
},
"schema": {
"type": "object",
"description": "JSON Schema (draft 2020-12) that the returned `data` is guaranteed to satisfy."
},
"options": {
"type": "object",
"additionalProperties": false,
"properties": {
"maxRepairs": {
"type": "integer",
"minimum": 0,
"maximum": 5,
"description": "Max validate->re-prompt repair iterations."
},
"strict": {
"type": "boolean",
"default": true,
"description": "Drop fields not present in the schema."
}
}
}
}
},
"outputSchema": {
"type": "object",
"required": [
"data",
"meta"
],
"properties": {
"data": {
"description": "Extracted value; guaranteed to validate against the request `schema`."
},
"meta": {
"type": "object",
"required": [
"repairs",
"latencyMs",
"validated"
],
"properties": {
"repairs": {
"type": "integer"
},
"latencyMs": {
"type": "integer"
},
"validated": {
"const": true
},
"deterministicFields": {
"type": "array",
"items": {
"type": "string"
}
}
}
}
}
}
}
],
"x-payment": {
"protocol": "x402",
"version": 2,
"primary": true,
"resource": "https://schemasure.com/v2/extract",
"network": "eip155:8453",
"asset": "USDC",
"assetAddress": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"priceUsd": 0.01,
"pricing": "$0.01/call, flat, failed calls free",
"chargeModel": "charge-only-on-success",
"alwaysPaid": true,
"resources": [
{
"capability": "extract_to_schema",
"resource": "https://schemasure.com/v2/extract",
"priceUsd": 0.01,
"pricing": "$0.01/call, flat, failed calls free"
},
{
"capability": "extract_image_to_schema",
"resource": "https://schemasure.com/v2/extract-image",
"priceUsd": 0.03,
"pricing": "$0.03/image, flat, failed calls free",
"v1Available": false
}
]
},
"legacyEvaluation": {
"resource": "https://schemasure.com/extract",
"x402Version": 1,
"freeCallsPerClient": 3
}
}