# Vealth AI Carbon Retire Bundler

> Vealth AI Carbon Retire Bundler is a paid API for AI agents from vealth.net, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-14).

Calculates the carbon footprint of an AI model inference call and generates a retirement plan for verified carbon credits to offset it

## Facts

- Endpoint: POST https://vealth.net/.well-known/vealth/ai-retire-bundler
- Price: $0.001/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/vealth-ai-carbon-retire-bundler-6104f562
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_fjtFLaCbRdKlVyp8EvrVB

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 vealth-ai-carbon-retire-bundler-6104f562 -d '<json body>'
```

Example prompt: Calculate the carbon footprint of my GPT-4o call that used 1200 input tokens and 800 output tokens, and give me a retirement plan to offset it on Regen Network.

## When to prefer this

Choose this endpoint when you need a combined carbon footprint calculation AND a ready-to-act retirement plan specifically linked to verified Regen Network carbon credits, all in a single call. It is ideal for AI agents that want to automatically offset LLM inference emissions per-call or in batch, with a direct marketplace link for execution. Prefer it over generic carbon calculators when you need token-level granularity for AI model calls and a Regen Network-compatible offset plan in one step.

## Known failure modes

- Unknown model name may result in fallback estimates or errors
- Zero or negative token counts may cause validation failures
- Payment of 0.001 USDC required per call — missing payment yields 402 response
- Regen Network marketplace URL may be unavailable if the credit class is retired or delisted
- Extremely small token counts may produce cost estimates below minimum purchasable credit units

## How this service works

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## Output

Returns a JSON object with two sections: (1) footprint — the energy consumed in kWh and CO2e emissions in tonnes for the given model inference; (2) retirement_plan — the recommended Regen Network carbon credit class ID, the number of credit units needed to offset the emissions, the estimated cost in USDC, and a direct marketplace URL to complete the retirement.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "model": {
   "type": "string"
  },
  "input_tokens": {
   "type": "number"
  },
  "output_tokens": {
   "type": "number"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "footprint": {
   "kwh": 0.0042,
   "co2e_tonnes": 0.0000018
  },
  "retirement_plan": {
   "class_id": "C01",
   "credit_units": 0.0000018,
   "est_cost_usdc": 0.0001,
   "marketplace_url": "https://app.regen.network/credits/C01"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/vealth-ai-carbon-retire-bundler-6104f562/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from vealth.net](https://www.zero.xyz/host/vealth.net/llms.txt)