# 24K Labs AI Debug Assist

> 24K Labs AI Debug Assist is a paid API for AI agents from api.24klabs.ai, paid per call via x402, $0.2/call, status unknown (last checked 2026-09-15).

Analyzes code to identify bugs, explain errors, and suggest fixes using Claude AI, paid per-request in USDC on Base L2

## Facts

- Endpoint: POST https://api.24klabs.ai/api/v1/debug-assist
- Price: $0.2/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/24k-labs-ai-debug-assist-da8b2f74
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_arguYf1EtZJKF7mMytmJj

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability 24k-labs-ai-debug-assist-da8b2f74 -d '<json body>'
```

Example prompt: Can you debug this Python function for me — it keeps returning None when I expect a list, and I think the issue is in how I'm handling the return statement inside the loop: `def get_items(data): for item in data: if item: result = item`?

## When to prefer this

Choose this endpoint when you need quick, pay-per-use AI-powered code debugging without committing to a subscription or API key setup. Ideal for agents that occasionally need to debug code snippets on behalf of users and want to pay only for what they use in USDC on Base L2. Best for single-snippet, single-language debugging tasks where an explanation and fix suggestion is the desired output.

## Known failure modes

- Missing or empty 'code' field returns an error — code is the primary required input
- Unsupported or ambiguous language may reduce diagnosis quality
- Payment failure (insufficient USDC on Base L2) results in HTTP 402 Payment Required
- Very large code snippets may exceed token limits or increase cost
- Ambiguous context instructions may lead to off-target debugging suggestions

## How this service works

Find bugs, explain errors, suggest fixes.

## Output

Returns a JSON object with the AI model used (claude-sonnet-4-5), a natural-language explanation of the detected bug or issue with suggested fix, and the number of tokens consumed in the request.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "code": {
   "type": "string",
   "description": "Primary input content"
  },
  "context": {
   "type": "string",
   "description": "Optional context or instructions"
  },
  "language": {
   "type": "string",
   "description": "Programming language (code services)"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "model": "claude-sonnet-4-5",
  "result": "The variable is None at that point. Check for a missing return...",
  "tokens_used": 220
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/24k-labs-ai-debug-assist-da8b2f74/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.24klabs.ai](https://www.zero.xyz/host/api.24klabs.ai/llms.txt)