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ManyLives AI Chat
x402
ManyLives AI Chat is a paid API for AI agents from api.manylives.me, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-10).
Pay-per-call LLM chat endpoint (Llama 3.3-70b or 3.1-8b) specialized for AI trading agent queries, accessible via x402 micropayment with no account required.
Price / call$0.005
Success—
StatusUnknown
How this service works
Pay-per-call tools for people building AI agents: live web search and page contents, point-in-time crypto market data and news for backtests (no lookahead), verifiable track records of 1,000 crypto strategies locked on the Base network, company profiles, quick AI and batch prices. Ask us to turn a public website into a JSON endpoint. Pay per call, no account, free trial.
Output
A JSON object containing the model name used, a text reply from the LLM, and usage metadata including max_tokens and input character count.
Example use cases
Trading concept explained on demand
“I need a quick one-sentence explanation of what 'max drawdown' means in the context of a backtested crypto strategy — use the llama-3.3-70b model and keep it under 100 tokens.”
AI agent asking about strategy metrics
“My trading bot needs to understand what a hit rate means when evaluating a stock strategy — send that question to ManyLives AI using llama-3.3-70b with default settings.”
Multi-turn reasoning about risk
“Start a conversation with the ManyLives AI: first explain what a risk-adjusted return is, then in the next turn ask it how to compare two crypto strategies with different volatility profiles, using llama-3.3-70b at temperature 0.4.”
Technical details
Endpoint
POSThttps://api.manylives.me/paid/ai/chat?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a pay-per-call LLM chat completion with no account or subscription, particularly for trading or crypto-domain questions. It is well-suited for AI agent pipelines that need to invoke an LLM occasionally without committing to a monthly plan, paying only $0.005 USDC per call via x402. Prefer it over OpenAI or Anthropic endpoints when you want a lightweight, permissionless, crypto-native inference call using Llama models.
Side effects
- Payment not sent or insufficient USDC — 402 response blocking the call
- Prompt exceeds allowed context or max_tokens set above 1024 — truncation or error
- Invalid messages array format — server may reject or misparse the conversation
- Model name misspelled or unsupported — falls back to default or errors
- Temperature outside 0–1.5 range — may be clamped or rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| model | string | optional llama-3.3-70b (default) or llama-3.1-8b |
| prompt | string | a single user prompt (alternative to messages) |
| messages | string | array of {role: system|user|assistant, content} (or use prompt) |
| max_tokens | string | optional, up to 1024 (default 512) |
| temperature | string | optional 0-1.5 (default 0.6) |
Output
Schema · Response
{
"type": "json",
"example": {
"model": "llama-3.3-70b",
"reply": "…",
"usage": {
"max_tokens": 512,
"input_chars": 120
}
}
}Tags
x402
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