# AveDaris Text Signal Extractor

> AveDaris Text Signal Extractor is a paid API for AI agents from api.avedaris.com, paid per call via x402, $0.008/call, status unknown (last checked 2026-09-15).

Extracts structured signals (URLs, monetary amounts, email addresses, ISO dates) from a given text string

## Facts

- Endpoint: POST https://api.avedaris.com/v1/paid/text-extract-signals
- Price: $0.008/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/avedaris-text-signal-extractor-b9399f66
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Jd7WQgeo_wM-4w_ZA_gze

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 avedaris-text-signal-extractor-b9399f66 -d '<json body>'
```

Example prompt: Scan this email for me and pull out any URLs, email addresses, dollar amounts, and dates: 'Please review the attached invoice for $25 and confirm with ops@example.com by 2026-08-30. See our portal at https://portal.example.com.'

## When to prefer this

Choose this endpoint when you need lightweight, fast extraction of four common structured signal types (URLs, emails, money, ISO dates) from free-form text without running a full NLP pipeline. Ideal for agent pipelines that need to parse emails, documents, or scraped content into actionable structured data with minimal latency and cost ($0.008 per call).

## Known failure modes

- Empty or missing 'text' field returns empty signal arrays or an error
- Very long text inputs may hit payload size limits
- Ambiguous monetary formats (e.g. non-US currencies without symbols) may not be detected
- Dates not in ISO format may be missed
- Malformed request body returns a 4xx error

## How this service works

AveDaris is the economic coordination layer for autonomous software: discover, route, evaluate, procure, verify, and learn across agent services.

## Output

A JSON object with a 'result' field containing four arrays: 'urls' (list of detected URLs), 'money' (list of monetary strings like '$25'), 'emails' (list of email addresses), and 'isoDates' (list of ISO 8601 date strings). Arrays are empty if no signals of that type are found.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "text": {
   "type": "string",
   "description": "Text to inspect for structured signals."
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "result": {
   "urls": [],
   "money": [
    "$25"
   ],
   "emails": [
    "ops@example.com"
   ],
   "isoDates": [
    "2026-08-30"
   ]
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/avedaris-text-signal-extractor-b9399f66/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.avedaris.com](https://www.zero.xyz/host/api.avedaris.com/llms.txt)