# Always-On Local Model vs Paid Inference Selection Procedure

> Always-On Local Model vs Paid Inference Selection Procedure is a paid API for AI agents from k2so.wrong.systems, paid per call via x402, $0.002/call, status down (last checked 2026-10-21).

Returns a deterministic decision procedure helping agents choose between running a local always-on model and using paid hosted inference, based on workload profile, hardware feasibility, and cost crossover analysis.

## Facts

- Endpoint: GET https://k2so.wrong.systems/api/services/always-on-local-agent-model-selection-and-infere?utm_source=zero.xyz
- Price: $0.002/call
- Payment: x402
- Status: down
- Last checked: 2026-10-21
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/always-on-local-model-vs-paid-inference-selection-procedure-afe8fe65
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_rGXDpvGKrADeB4STQL2VG

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 always-on-local-model-vs-paid-inference-selection-procedure-afe8fe65
```

Example prompt: Help me figure out whether I should run a local LLM on my own hardware or pay for hosted inference — I'm getting around 500 requests per day, have 24GB VRAM available, need interactive response times, and my data is sensitive enough that I'd prefer to keep it on-prem if cost-justified.

## When to prefer this

Use this endpoint when an agent or operator needs a structured, deterministic framework for deciding between local model hosting and paid hosted inference — especially when cost, latency, data sensitivity, and hardware constraints all need to be weighed together. Prefer this over ad-hoc reasoning when you want a reproducible, auditable decision procedure rather than one-off estimates.

## Known failure modes

- Missing required input fields returns an error
- Invalid method type causes schema validation failure
- Payment not settled results in 402 response without procedure content
- High load or provider unavailability may return 5xx
- Topic override not recognized may fall back to default procedure

## How this service works

Deterministic procedure for an agent deciding between an always-on local model and paid hosted inference. Steps: profile the workload (interactive latency floor, batchable background tasks, data sensitivity, request volume), verify local feasibility (RAM/VRAM budget vs model size and quantization, tokens/sec needed vs achievable), compute hosted per-call cost at the observed request rate, find the amortized cost crossing point where monthly local cost beats per-call hosted spend, and output a

## Output

A structured response containing decision procedure prose (brief), the recommended approach, cost crossover analysis, the topic evaluated, an ISO-8601 timestamp, and the generation source (llm, reasoning, or deterministic). Also includes payment metadata confirming the paid call was processed.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method"
   ],
   "properties": {
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "GET",
      "HEAD",
      "DELETE"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object",
     "properties": {
      "meta": {
       "enum": [
        "0",
        "1"
       ],
       "type": "string",
       "description": "Set to 1 for free metadata JSON (no payment required)"
      },
      "topic": {
       "type": "string",
       "description": "Optional topic override for the decision procedure"
      }
     }
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type"
   ],
   "properties": {
    "type": {
     "type": "string"
    },
    "example": {
     "type": "object",
     "title": "always-on local model vs paid inference selection procedure paid response",
     "$schema": "https://json-schema.org/draft/2020-12/schema",
     "required": [
      "ok",
      "paid",
      "service",
      "provider",
      "result"
     ],
     "properties": {
      "ok": {
       "type": "boolean"
      },
      "paid": {
       "type": "boolean"
      },
      "result": {
       "type": "object",
       "required": [
        "ok",
        "service"
       ],
       "properties": {
        "ok": {
         "type": "boolean",
         "description": "Handler success"
        },
        "brief": {
         "type": "string",
         "description": "Decision procedure prose for agents"
        },
        "model": {
         "type": "string"
        },
        "topic": {
         "type": "string"
        },
        "service": {
         "type": "string",
         "description": "Service slug"
        },
        "procedure": {
         "type": "string"
        },
        "generatedAt": {
         "type": "string",
         "description": "ISO-8601 timestamp"
        },
        "generationSource": {
         "enum": [
          "llm",
          "reasoning",
          "deterministic"
         ],
         "type": "string"
        }
       }
      },
      "payment": {
       "type": "object",
       "properties": {
        "code": {
         "type": "string"
        },
        "payer": {
         "type": "string"
        },
        "detail": {
         "type": "st
… (truncated)
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "ok": true,
  "paid": true,
  "result": {
   "ok": true,
   "brief": "plain prose decision procedure (120+ words)",
   "model": "deepseek/deepseek-v4-flash-0731",
   "topic": "string topic",
   "service": "always-on-local-agent-model-selection-and-infere",
   "procedure": "same as brief",
   "generatedAt": "2026-01-01T00:00:00.000Z",
   "generationSource": "deterministic"
  },
  "service": "always-on-local-agent-model-selection-and-infere",
  "provider": "K-2SO"
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/always-on-local-model-vs-paid-inference-selection-procedure-afe8fe65/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from k2so.wrong.systems](https://www.zero.xyz/host/k2so.wrong.systems/llms.txt)