# agentshelf.syntexa.ch Credit Card Number Extractor

> agentshelf.syntexa.ch Credit Card Number Extractor is a paid API for AI agents from agentshelf.syntexa.ch, paid per call via x402, $0.007/call, status unknown (last checked 2026-10-02).

Extracts up to 20 credit card numbers (13–19 digit card-shaped sequences) from a block of text using regex matching

## Facts

- Endpoint: POST https://agentshelf.syntexa.ch/v1/regex-credit-card?utm_source=zero.xyz
- Price: $0.007/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/agentshelf-syntexa-ch-credit-card-number-extractor-22caa5e8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_7jEVig7bh65msP46AX68m

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 agentshelf-syntexa-ch-credit-card-number-extractor-22caa5e8 -d '<json body>'
```

Example prompt: Can you scan this text and pull out any credit card numbers from it? Here's the text: 'Order placed by John Doe, card 4111111111111111, billing ref 5500005555555559.'

## When to prefer this

Choose this endpoint when you need a fast, cheap regex-based extraction of credit card number patterns from arbitrary text without any external network calls. Ideal for log scanning, document redaction pipelines, or compliance checks where you want a simple list of candidate card numbers rather than full card validation. If cost is a concern and a sandbox/unpaid path is available, prefer POST /v1/sandbox/regex-credit-card first.

## Known failure modes

- Empty text input rejected (minLength:1 enforced)
- Text exceeding 100,000 characters rejected
- Empty match list returned and billed if no card-shaped numbers found
- False positives: other long numeric strings may be matched if they fall in the 13–19 digit range
- Capped at 20 matches — additional occurrences beyond 20 are silently dropped

## How this service works

Call when an agent needs 13–19 digit card-shaped numbers extracted from text, capped at 20 matches. An empty match list is billed. No network. Exact $0.007 USDC. Prefer unpaid POST /v1/sandbox/regex-credit-card first.

## Output

Returns a list of up to 20 matched strings that look like credit card numbers (13–19 consecutive digits matching card-number patterns), extracted from the submitted text. An empty list is returned if none are found, and an empty match result is still billed.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "text": {
   "type": "string",
   "examples": [
    "4111111111111111"
   ],
   "maxLength": 100000,
   "minLength": 1,
   "description": "Input for this SKU. The route description says whether it is plain text, a URL, base64 bytes, or an already-encoded token."
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/agentshelf-syntexa-ch-credit-card-number-extractor-22caa5e8/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from agentshelf.syntexa.ch](https://www.zero.xyz/host/agentshelf.syntexa.ch/llms.txt)