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Agent Prep – JSON Path Listing
x402
Agent Prep – JSON Path Listing is a paid API for AI agents from agent-prep.annushka1190.workers.dev, paid per call via x402, $0.003/call, status unknown (last checked 2026-09-13).
Enumerates all JSON paths, their types, and values from an arbitrary JSON object, returning a flat list of dot-notation paths.
Price / call$0.003
Success—
StatusUnknown
How this service works
Pre-LLM utilities for AI agents: structural JSON diff, JSON path listing, token estimation, text chunking, and truncation. Pay with USDC via x402 — no API keys.
Output
Returns a JSON object with a 'paths' array. Each element contains a 'path' (dot-notation string key), 'type' (the JSON type of the value, e.g. number, string, boolean, object, array), and 'value' (the actual value at that path). This gives a fully flattened, traversable map of the input JSON structure.
Example use cases
Pre-processing API response for LLM
“I got a deeply nested JSON back from an API and I want to feed only the relevant fields to my LLM — can you list every path, type, and value in it so I can see what's there? Here's the object: {"order":{"id":"abc123","items":[{"sku":"X1","qty":2}],"status":"pending"}}”
Debugging unknown JSON schema
“I have a JSON blob from a third-party service and I have no idea what fields it contains — can you enumerate all the paths and their types so I can understand its structure? The object is: {"meta":{"page":1,"total":500},"results":{"data":{"score":0.92,"label":"positive"}}}”
Building a field selector for data pipeline
“Before I set up my data pipeline, I need a full list of every dot-notation path in this config JSON with its type and current value: {"pipeline":{"source":"s3","destination":"bigquery","options":{"batchSize":1000,"retry":true}}}”
Technical details
Endpoint
POSThttps://agent-prep.annushka1190.workers.dev/v1/json/pathsWhen to prefer
Choose this endpoint when you need to programmatically enumerate all paths in an arbitrary or unknown JSON structure before passing data to an LLM — especially when you want to inspect field names, types, and values without writing custom traversal code. Ideal for pre-processing API responses, debugging unfamiliar schemas, or building field selectors for pipelines. Prefer it over manual parsing when the JSON depth or shape is unknown and you need a flat, inspectable list quickly.
Side effects
- Missing 'input' field in request body returns a validation error
- Non-object body (array or primitive) may not be supported as top-level input
- Deeply nested or very large JSON objects may exceed processing limits
- Invalid JSON in the request body will return a parse error
- Payment not included or incorrect USDC amount will result in a 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Output
Schema · Response
{
"type": "json",
"example": {
"paths": [
{
"path": "a",
"type": "number",
"value": 1
}
]
}
}Tags
x402
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