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pathcoursehealth.com Chat Completions (MoE)
x402
pathcoursehealth.com Chat Completions (MoE) is a paid API for AI agents from pathcoursehealth.com, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-14).
Runs an instruction-tuned mixture-of-experts language model via an OpenAI-compatible chat completions endpoint, optimised for high-throughput tasks like classification, extraction, summarisation, routing, and short chat.
Price / call$0.002
Success—
StatusUnknown
How this service works
Instruction-tuned mixture-of-experts model for high-volume work: classification, extraction, summarisation, routing and short chat. Chosen when throughput and cost matter more than depth of reasoning. OpenAI-compatible; streaming supported.
Output
Returns an OpenAI-compatible chat completion object containing the assistant's response text, finish reason, and token usage counts. When stream=true, delivers server-sent event (SSE) chunks progressively as the model generates tokens.
Example use cases
Customer review sentiment tagger
“Classify each of these 50 product reviews as positive, negative, or neutral and pull out any specific issues mentioned — use the cheapest fast model you have since there are a lot of them.”
Support ticket router
“Read this incoming support message and tell me which department it belongs to — billing, technical, or general — so I can forward it automatically: 'I was charged twice for my subscription last month and can't log into my account.'”
Article summariser for a newsletter
“Summarise this 800-word news article into a 3-sentence abstract I can drop into my weekly newsletter digest.”
Technical details
Endpoint
POSThttps://pathcoursehealth.com/v1/chat/completionsWhen to prefer
Choose this endpoint when throughput and cost efficiency are the primary constraints and the task does not require deep multi-step reasoning — e.g. bulk classification, field extraction, short summarisation, or intent routing at scale. The OpenAI-compatible interface makes it a drop-in for existing pipelines, and streaming support suits real-time chat UIs. Prefer a more capable (and more expensive) reasoning model when the task requires complex chain-of-thought, code generation, or nuanced multi-turn dialogue.
Side effects
- Payment not received or x402 payment header missing — 402 Payment Required
- Malformed messages array or missing required fields — 400 Bad Request
- Model overloaded or upstream error — 503 Service Unavailable
- Request times out on very long inputs — 504 Gateway Timeout
- Streaming connection dropped mid-response — partial SSE stream returned
Output
Schema · Response
{
"type": "object",
"description": "OpenAI chat.completion (or SSE stream when stream=true)"
}Tags
x402
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