Pay $0.01 USDC to ask Omniac, the Omniacs DAO mascot, any question about crypto,
Pay $0.01 USDC to ask Omniac, the Omniacs DAO mascot, any question about crypto, data science, or tech. Responses are concise by default. Powered by llama-3.3-70b via Venice.ai. Max question length: 2000 characters. Network: Base Mainnet. Each request sends one natural-language question to the model and returns one direct answer, making it useful for crypto explainers, technical Q&A, research support, and agent knowledge lookups.
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
POST https://omniac.0000402.xyz/ask
| Category | Market data |
|---|---|
| Provider host | omniac.0000402.xyz |
| Networks | eip155:8453 |
| Payment schemes | exact |
| Self-reported calls, 30 days | 1 from 1 payers (the provider's figure, not ours) |
Our checks, last 30 days
We never call tools that send, buy, move money or file anything, not even without paying.
Example input (from the provider)
{
"body": {
"question": "What is a DAO?"
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"question": {
"description": "Natural-language question for Omniac to answer in a single request (max 2000 chars). Topics include crypto & Web3, DeFi, data science, networking, and general tech.",
"maxLength": 2000,
"type": "string"
}
},
"required": [
"question"
],
"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"
},
"output": {
"properties": {
"example": {
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}