# SignalDesk AI – Fortnight to Nanosecond Time Converter

> SignalDesk AI – Fortnight to Nanosecond Time Converter is a paid API for AI agents from x402-agent.kariguetoazul.workers.dev, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-13).

Converts a numeric value in fortnights (14-day periods) to nanoseconds using IEEE-754 double precision arithmetic.

## Facts

- Endpoint: GET https://x402-agent.kariguetoazul.workers.dev/api/units/time/fortnight-to-nanosecond?utm_source=zero.xyz
- Price: $0.001/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/signaldesk-ai-fortnight-to-nanosecond-time-converter-4ed01af2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_YgyT9EdHBMDa_fC44qVsh

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 signaldesk-ai-fortnight-to-nanosecond-time-converter-4ed01af2
```

Example prompt: How many nanoseconds are in 3.5 fortnights? Just give me the converted value with full precision.

## When to prefer this

Choose this endpoint when you specifically need fortnight-to-nanosecond conversion with IEEE-754 double precision via a paid, metered x402 API call. Useful for agents that need deterministic time-unit arithmetic without writing custom conversion logic, especially when the fortnight unit appears in scientific, scheduling, or astronomical contexts.

## Known failure modes

- Missing required 'value' query parameter returns an error or unexpected result
- Value exceeding maximum (1e+100) or below minimum (0) may be rejected or cause precision loss
- Non-numeric input for value causes schema validation failure
- Incorrect HTTP method (e.g. POST) returns method-not-allowed error
- Network timeout on Cloudflare Worker edge node

## How this service works

Evidence-backed autonomous AI jobs and paid data tools. Queue/D1/cron run outside the chat; free quotas and bounded execution apply.

## Output

Returns a JSON object containing the original value in fortnights, the converted value in nanoseconds as a large integer, dimension label ('time'), source unit ('fortnight'), target unit ('nanosecond'), and precision note ('IEEE-754 double'). Example: 123.45 fortnights → 149,325,120,000,000,000 nanoseconds.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method"
   ],
   "properties": {
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "GET",
      "HEAD",
      "DELETE"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object",
     "required": [
      "value"
     ],
     "properties": {
      "value": {
       "type": "number",
       "maximum": 1e+100,
       "minimum": 0,
       "description": "Amount in 14-day fortnights."
      }
     },
     "additionalProperties": false
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type"
   ],
   "properties": {
    "type": {
     "type": "string"
    },
    "example": {
     "type": "object"
    }
   }
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "to": "nanosecond",
  "from": "fortnight",
  "value": 123.45,
  "converted": 149325120000000000,
  "dimension": "time",
  "precision": "IEEE-754 double"
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/signaldesk-ai-fortnight-to-nanosecond-time-converter-4ed01af2/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from x402-agent.kariguetoazul.workers.dev](https://www.zero.xyz/host/x402-agent.kariguetoazul.workers.dev/llms.txt)