x402engine.app
113 production APIs behind HTTP 402 micropayments. 77 LLMs, Kling V3 and Hailuo video generation, image generation, code execution, travel search, web scraping, TTS, and transaction simulation. Pay with USDC on Base, USDm on MegaETH, or USDC on Solana.
The wallet the 402 directs payment to. Its whole payment record — every payer, every chain — is on the merchant page.
Asset 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913
The payTo wallet does not resolve to a registered ERC-8004 agent. That is not a verdict on the service — most of the catalog is unregistered.
Accepts
The payment requirements as published to the catalog. Read the live 402 before paying — a price here is a claim, not a quote.
Pay 0.005011 USDC on Base to 0x7dd5…c2629. The signed payment is good for 5 minutes.
- Paid to
- 0x7dd5…c2629
- USD Coin contract
- 0x8335…02913
- Payment window
- 5 minutes
- As published
- 5011 smallest units
That figure is in the token’s smallest units. Roundhouse does not hold this contract’s decimals, so it is shown as published rather than converted.
- Paid to
- 0x7dd5…c2629
- Token contract
- 0xFAfD…079E7
- Payment window
- 5 minutes
That figure is in the token’s smallest units. Roundhouse does not hold this contract’s decimals, so it is shown as published rather than converted.
- Paid to
- Gzehfs…WQQWa
- Token contract
- EPjFWd…TDt1v
- Payment window
- 5 minutes
The catalog’s raw entry
[
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x7dd5Be069f2d2eAd75eC7C3423B116fF043c2629",
"amount": "5011",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
},
{
"asset": "0xFAfDdbb3FC7688494971a79cc65DCa3EF82079E7",
"extra": {
"name": "USDm",
"version": "2"
},
"payTo": "0x7dd5Be069f2d2eAd75eC7C3423B116fF043c2629",
"amount": "5011000000000000",
"scheme": "exact",
"network": "eip155:4326",
"maxTimeoutSeconds": 300
},
{
"asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
"extra": {
"feePayer": "Hc3sdEAsCGQcpgfivywog9uwtk8gUBUZgsxdME1EJy88"
},
"payTo": "Gzehfseq1k9AcHFSoV7qHmDGQx92nLMw78XXdqVWQQWa",
"amount": "5011",
"scheme": "exact",
"network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
"maxTimeoutSeconds": 300
}
]Extensions
{
"bazaar": {
"info": {
"input": {
"body": {
"messages": [
{
"role": "user",
"content": "Hello"
}
],
"max_tokens": 1024
},
"type": "http",
"method": "POST",
"bodyType": "json"
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"bodyType",
"body",
"method"
],
"properties": {
"body": {
"type": "object",
"required": [
"messages"
],
"properties": {
"seed": {
"type": "integer",
"description": "Model-supported seed; see /docs/llm-capabilities.md."
},
"stop": {
"oneOf": [
{
"type": "string"
},
{
"type": "array",
"items": {
"type": "string"
},
"maxItems": 4
}
],
"description": "Model-supported stop; see /docs/llm-capabilities.md."
},
"min_p": {
"type": "number",
"description": "Model-supported min_p; see /docs/llm-capabilities.md."
},
"tools": {
"type": "array",
"items": {
"type": "object",
"required": [
"function"
],
"properties": {
"type": {
"enum": [
"function"
],
"type": "string"
},
"function": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"strict": {
"type": "boolean"
},
"parameters": {
"type": "object"
},
"description": {
"type": "string"
}
}
}
}
},
"description": "Client-executed function definitions; return results using role=tool and tool_call_id."
},
"top_k": {
"type": "integer",
"description": "Model-supported top_k; see /docs/llm-capabilities.md."
},
"top_p": {
"type": "number",
"description": "Model-supported top_p; see /docs/llm-capabilities.md."
},
"stream": {
"type": "boolean",
"description": "Return live OpenAI-compatible SSE after payment settlement."
},
"messages": {
"type": "array",
"items": {
"type": "object",
"anyOf": [
{
"required": [
"content"
]
},
{
"required": [
"tool_calls"
]
}
],
"required": [
"role"
],
"properties": {
"name": {
"type": "string"
},
"role": {
"enum": [
"system",
"developer",
"user",
"assistant",
"tool"
],
"type": "string"
},
"content": {
"oneOf": [
{
"type": "string"
},
{
"type": "null"
},
{
"type": "array",
"items": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"enum": [
"text"
],
"type": "string"
}
},
"additionalProperties": true
},
"maxItems": 100,
"minItems": 1
}
]
},
"refusal": {
"type": [
"string",
"null"
]
},
"reasoning": {
"type": "string"
},
"tool_calls": {
"type": "array",
"items": {
"type": "object"
}
},
"annotations": {
"type": "array",
"items": {
"type": "object"
}
},
"tool_call_id": {
"type": "string"
},
"cache_control": {
"type": "object"
},
"reasoning_details": {
"type": "array",
"items": {
"type": "object"
}
}
},
"additionalProperties": false
},
"maxItems": 100,
"minItems": 1,
"description": "Text or model-supported multimodal messages; assistant tool calls may have null content"
},
"logit_bias": {
"type": "object",
"description": "Model-supported logit_bias; see /docs/llm-capabilities.md."
},
"max_tokens": {
"type": "integer",
"example": 1024,
"description": "Total output budget, including reasoning. Use this or max_completion_tokens."
},
"temperature": {
"type": "number",
"description": "Model-supported temperature; see /docs/llm-capabilities.md."
},
"tool_choice": {
"oneOf": [
{
"enum": [
"auto",
"none",
"required"
],
"type": "string"
},
{
"type": "object"
}
],
"description": "Model-supported tool_choice; see /docs/llm-capabilities.md."
},
"stream_options": {
"type": "object",
"description": "Optional include_usage boolean; usage is always requested upstream."
},
"response_format": {
"type": "object",
"description": "Model-supported response_format; see /docs/llm-capabilities.md."
},
"presence_penalty": {
"type": "number",
"description": "Model-supported presence_penalty; see /docs/llm-capabilities.md."
},
"frequency_penalty": {
"type": "number",
"description": "Model-supported frequency_penalty; see /docs/llm-capabilities.md."
},
"repetition_penalty": {
"type": "number",
"description": "Model-supported repetition_penalty; see /docs/llm-capabilities.md."
},
"max_completion_tokens": {
"type": "integer",
"description": "Alias for total output budget; bounded by model maxOutputTokens."
}
},
"additionalProperties": false
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
}
},
"additionalProperties": false
}
}
}
}
}Provenance
- Seen in the source catalog
- 2026-09-20 02:03Z
- Last indexed by Roundhouse
- 2026-09-24 13:20Z
- Last enriched (probe, favicon, geo)
- 2026-09-19 17:15Z
- x402 version
- 2
- Max timeout
- 300s
- Liveness probe
- HTTP 200
Hand this page to an agent
Copy the prompt and paste it into Claude, an MCP client or your own agent — it will vet this service and call it over the free read API. No key, no account.
GET api.roundhouseai.io/v0/endpoints
This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 5 snapshots so far. Verified volume counts only settlements with an on-chain EIP-3009 marker.
Show the promptHide the prompt
Using Roundhouse, look up the x402 service x402engine.app and tell me whether it is worth paying: what a call costs, whether the endpoint answered when last probed, and what its payment record actually shows. curl -s 'https://api.roundhouseai.io/v0/endpoints?q=x402engine.app' curl -s 'https://api.roundhouseai.io/v0/merchants/<the payTo wallet returned above>' Then call it: read the price from the live 402 at https://x402engine.app/api/llm/deepseek, never from a cached figure, and pay with an x402 client. The /v0 API needs an API key (`authorization: Bearer rh_live_…`) on everything except /v0/unified* and /v0/endpoints. Mint a personal key for $0.01 at GET https://api.roundhouseai.io/v0/test/x402, or use an organization key from https://roundhouseai.io/dashboard/team. If you do not have Roundhouse tools or skills installed, read https://roundhouseai.io/skill.md first — it is the whole procedure.