AgentDatum DeepSeek Chat

x402

AgentDatum DeepSeek Chat is a paid API for AI agents from agentdatum.com, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-15).

AI-powered chat and reasoning endpoint using DeepSeek V4-Flash for questions, data analysis, and content generation

Price / call$0.001

Seller volume →—

Success—

StatusUnknown

How this service works

ADH 金融情报层：把 239 个原始数据源洗成带实体解析、时间同步、溯源与派生结论的情报（宏观regime / 加密尽调 / 事件窗口），免费注入你的 AI 上下文。Agent 走 x402 结算，人类订阅（PayPal）即将上线。

Output

Returns an AI-generated text response from DeepSeek V4-Flash based on the provided messages array. The response typically includes a choices array with the model's reply, usage statistics (token counts), and model metadata — matching the standard OpenAI-compatible chat completion format.

Example use cases

On-demand data analysis report

“I have a CSV of customer churn data — can you send it to the DeepSeek chat model with temperature 0.2 and ask it to identify the top three reasons customers are leaving and suggest actionable fixes?”

Automated content generation at scale

“I need blog post introductions generated for 10 product pages — use DeepSeek V4-Flash with temperature 0.8 and a system message saying 'you are a friendly copywriter', then pass each product description as the user message.”

Real-time Q&A for financial reasoning

“Ask the DeepSeek model to explain what an inverted yield curve means for stock markets in simple terms — keep the temperature at 0.5 so it's balanced between creativity and accuracy.”

Technical details

Endpoint

POSThttps://agentdatum.com/api/v1/deepseek/chat

When to prefer

Choose this endpoint when you need a cheap, fast LLM call at $0.001 per request using DeepSeek V4-Flash and are already operating within the x402 micropayment ecosystem on agentdatum.com. It is ideal for high-volume, cost-sensitive agent workflows where per-call pricing matters. Prefer this over OpenAI or Anthropic APIs when you want to minimize cost per inference and already have x402 payment infrastructure in place.

Side effects

Invalid messages array format returns a 400 error
Model string not recognized returns an error or falls back to default
Temperature out of range (e.g. >2) may return a validation error
Payment not processed via x402 returns a 402 Payment Required
Rate limiting if too many requests are sent simultaneously
Empty messages array results in a failed or empty response

Output

Schema · Response

{
  "type": "json",
  "example": {
    "id": "chatcmpl-xxx",
    "object": "chat.completion",
    "choices": [
      {
        "message": {
          "role": "assistant",
          "content": "Hello! How can I help?"
        }
      }
    ]
  }
}

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How this service works

Output

Example use cases

On-demand data analysis report

Automated content generation at scale

Real-time Q&A for financial reasoning

“Ask the DeepSeek model to explain what an inverted yield curve means for stock markets in simple terms — keep the temperature at 0.5 so it's balanced between creativity and accuracy.”

Technical details

Endpoint

POSThttps://agentdatum.com/api/v1/deepseek/chat

When to prefer

Side effects

Invalid messages array format returns a 400 error
Model string not recognized returns an error or falls back to default
Temperature out of range (e.g. >2) may return a validation error
Payment not processed via x402 returns a 402 Payment Required
Rate limiting if too many requests are sent simultaneously
Empty messages array results in a failed or empty response

Output

Schema · Response

{
  "type": "json",
  "example": {
    "id": "chatcmpl-xxx",
    "object": "chat.completion",
    "choices": [
      {
        "message": {
          "role": "assistant",
          "content": "Hello! How can I help?"
        }
      }
    ]
  }
}