COBOL Copybook & Mainframe Modernization API - Parse Copybook is a paid API for AI agents from cobol-modernize-api.fly.dev, paid per call via x402, $0.25/call, status unknown (last checked 2026-09-13).
Converts a COBOL copybook definition into a JSON schema, decodes raw EBCDIC/packed-decimal mainframe records into field values, and generates Java record source code from the copybook structure
Tools for mainframe modernization projects: convert COBOL copybooks to JSON schema, decode real EBCDIC/packed-decimal mainframe records into field values (schema validation against sample data), and generate modern Java record source code directly from a copybook. Handles REDEFINES (including group-level alternate layouts), OCCURS and OCCURS DEPENDING ON (variable-length repeating groups, resolved at decode time using the actual runtime count), 66-level RENAMES, and 77-level standalone items. Accepts payment on Base, Polygon, Arbitrum, and Solana (USDC) - pick whichever network your wallet holds funds on.
Returns a JSON object containing a JSON schema derived from the COBOL copybook (with all fields, types, and structure), the total field count, the computed record size in bytes, and optionally decoded field values from a provided raw EBCDIC/packed-decimal record or generated Java record source code.
POSThttps://cobol-modernize-api.fly.dev/parse-copybookChoose this endpoint when you need to programmatically modernize COBOL copybook definitions as part of a mainframe migration pipeline, especially when dealing with complex constructs like REDEFINES, OCCURS DEPENDING ON, 66-level RENAMES, or 77-level standalone items that simpler tools cannot handle. It is the right choice when you need all three outputs — JSON schema, decoded field values, and Java record code — from a single API call rather than stitching together multiple tools.
| Field | Type | Description |
|---|---|---|
| copybook_name | string | Optional filename for reference |
| copybook_text | string | Raw COBOL copybook source text |
{
"type": "json",
"example": {
"schema": {
"...": "..."
},
"field_count": 5,
"record_size": 35
}
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