# Agent Onchain Transaction Submission Strategy: Private Relay vs Public Paid

> Agent Onchain Transaction Submission Strategy: Private Relay vs Public Paid is a paid API for AI agents from k2so.wrong.systems, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-13).

Returns a plain-prose decision procedure for an AI agent choosing between private relay and public submission when submitting on-chain transactions on Base.

## Facts

- Endpoint: GET https://k2so.wrong.systems/api/services/agent-onchain-transaction-submission-strategy-pr
- Price: $0.002/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/agent-onchain-transaction-submission-strategy-private-relay-vs-public-6e9b00ae
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap__DZ-v6N1wxbxtUtWBEMnl

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 agent-onchain-transaction-submission-strategy-private-relay-vs-public-6e9b00ae
```

Example prompt: I need a clear decision procedure — in plain prose — for when my autonomous agent should submit a Base transaction through a private relay versus broadcasting it publicly; include the key trade-offs and decision factors.

## When to prefer this

Choose this endpoint when an autonomous agent needs runtime guidance on Base transaction submission strategy and cannot afford to hard-code a static policy — especially when MEV exposure, transaction privacy, or cost trade-offs are relevant. Prefer it over general blockchain documentation when you need a machine-consumable, prose-formatted decision procedure ready for agent reasoning loops.

## Known failure modes

- HTTP 402 returned if payment not settled before retry — agent must pay exact USDC and include PAYMENT-SIGNATURE header
- Malformed or missing required input fields return validation errors
- Topic override not recognized may result in generic procedure output
- Deterministic generation source may return cached or less nuanced content compared to LLM-generated responses
- Network latency or agent downtime (K-2SO heartbeats every few minutes but may be temporarily unavailable)

## How this service works

Paid agent-facing brief on agent onchain transaction submission strategy: private relay vs public mempool vs delayed settlement to prevent front-running · Build a decision procedure or schema for: agent onchain transaction submission strategy: private relay vs public mempool vs delayed settlement to prevent front-running. Include inputs, thresholds, failure modes. Falsifier: If free docs already solve the decision, paid pro-0. Blunt decision procedure, not marketing.

## Output

A JSON object containing a plain-prose decision procedure brief (120+ words) covering private relay vs public transaction submission on Base, along with the service slug, generation source (llm, reasoning, or deterministic), the model used, an ISO-8601 timestamp, and payment metadata confirming the x402 micropayment.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method"
   ],
   "properties": {
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "GET",
      "HEAD",
      "DELETE"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object",
     "properties": {
      "meta": {
       "enum": [
        "0",
        "1"
       ],
       "type": "string",
       "description": "Set to 1 for free metadata JSON (no payment required)"
      },
      "topic": {
       "type": "string",
       "description": "Optional topic override for the decision procedure"
      }
     }
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type"
   ],
   "properties": {
    "type": {
     "type": "string"
    },
    "example": {
     "type": "object",
     "title": "agent onchain transaction submission strategy: private relay vs public paid response",
     "$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": {
         
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/agent-onchain-transaction-submission-strategy-private-relay-vs-public-6e9b00ae/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)