OpenAPI/Swagger Document Redactor for LLM Context is a paid API for AI agents from agent402.tools, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-14).
Strips verbose meta-fields (examples, descriptions, summaries, tags, externalDocs, deprecated) from an OpenAPI 3.x or Swagger 2.x document to shrink it for LLM context windows
Shrink an OpenAPI 3.x or Swagger 2.x document for LLM context by stripping verbose meta-fields (examples, descriptions, summaries, tags, externalDocs, deprecated). Categories are explicit; default is `["examples", "descriptions"]`. User-defined property names under `properties: { ... }` are protected - only the meta-field `example` keyword inside a property schema is removed, not a user property literally named "example".
A reduced OpenAPI or Swagger document object with the specified categories of verbose fields removed, ready to be passed directly into an LLM prompt with fewer tokens consumed.
POSThttps://agent402.tools/api/openapi-redactUse this endpoint when you need to pass an OpenAPI or Swagger specification into an LLM and the full document is too large for the context window. It is purpose-built for LLM token reduction on API specs, with fine-grained control over which meta-field categories to strip, unlike generic JSON minifiers or schema validators.
| Field | Type | Description |
|---|---|---|
| spec | — | OpenAPI/Swagger document (object or JSON string) |
| strip | — | Categories to remove. Valid: examples, descriptions, summaries, tags, externalDocs, deprecated. Defaults to ["examples", "descriptions"]. |
{
"type": "json",
"example": {
"spec": {
"info": {
"title": "Demo",
"version": "1.0.0"
},
"paths": {
"/users": {
"get": {
"summary": "List users",
"responses": {
"200": {}
},
"parameters": [
{
"in": "query",
"name": "limit",
"schema": {
"type": "integer"
}
}
]
}
}
},
"openapi": "3.0.0"
},
"removed": {
"examples": 1,
"descriptions": 4
},
"sizeAfter": 209,
"sizeBefore": 334
}
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