LLM chat completion
LLM chat completion: send messages and max_tokens, get the reply. An OpenAI-style chat completion from Llama-3.1-8B-Instruct. Returns: an OpenAI-style chat completion from the model the service is named for (DeepSeek-V4-Flash-0731, Qwen3-32B or Llama-3.1-8B-Instruct): POST {messages: [{role, content}], max_tokens <= 1024}; returns the assistant message, the model, and its token usage. Messages up to 16,000 characters in total.
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
POST https://api.arysphere.com/v1/ventures/x402_bazaar_token_verdict_v2/base_llama3_1_8b_chat
| Category | Market data |
|---|---|
| Provider host | api.arysphere.com |
| Networks | eip155:137, eip155:42161, eip155:8453 |
| Payment schemes | exact |
| Self-reported calls, 30 days | 1 from 1 payers (the provider's figure, not ours) |
Our checks, last 30 days
We never call tools that send, buy, move money or file anything, not even without paying.
Example input (from the provider)
{
"body": {
"max_tokens": 32,
"messages": [
{
"content": "Say hello in five words.",
"role": "user"
}
]
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"max_tokens": {
"maximum": 1024,
"minimum": 1,
"type": "integer"
},
"messages": {
"items": {
"properties": {
"content": {
"type": "string"
},
"role": {
"enum": [
"system",
"user",
"assistant"
]
}
},
"required": [
"role",
"content"
],
"type": "object"
},
"maxItems": 32,
"minItems": 1,
"type": "array"
}
},
"required": [
"messages"
],
"type": "object"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"method": {
"enum": [
"POST",
"PUT",
"PATCH"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}