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Agent Observability that Just Works at Scale - Oodle.ai | Oodle AI
Monitor LLM calls, APIs, and infrastructure performance for AI agents.
kirankgollu · HN
Oodle.ai – $10 per million agent traces
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Monitor LLM calls, APIs, and infrastructure performance for AI agents.
kirankgollu · HN
Oodle.ai – $10 per million agent traces
Send your question to a panel of LLMs that peer-review each other and return one synthesized answer.
u/Puzzleheaded-Log-27 · Reddit
Building a multi-model AI deliberation tool taught me something about trust LLM Counsel isn't another wrapper around one model - it sends your question to a panel of frontier LLMs, has them peer-review each other anonymously, and an impartial "chairman" model returns one synthesized answer. Free to start, pay-as-you-go after, credits don't expire. What I've learned so far: people trust a synthesized answer a lot more once they can see that the models actually disagreed and how that disagree
Compress prompts and reduce LLM token costs by detecting duplicate tool calls.
@DeveloperL92487 · X
I built my first app in 60min And now I got $500 MRR in one month Check here if you are interested It’s a tool to reduce agent token consumption, speed up agent response, and clean up memory cache
OpenAI-compatible API for running open-weight LLMs and video models.
bingus-bongo · HN
Use GLM-5.3 in Cursor today via tokengo API
Use one API to access and switch between LLM providers while optimizing inference costs.
justin2025 · Product Hunt
Auriko Trading desk for LLM calls
An LLM gateway for OpenAI, Anthropic, Google and Azure. Every request logged, priced to the token, and audited for waste you can actually recover.
@razdagan3 · X
Research stocks in your own words. Free AI stock screener: describe what you want in plain English and get real public companies back, each with dated evidence from SEC filings and
soner_sensoy1 · Product Hunt
stocks-llm Natural Language Stock Research Agent
Compare latency and throughput performance across LLM API providers.
@QAInsights · X
Compare LLM API pricing and calculate your monthly costs instantly.
u/ahmedk2002 · Reddit
I built a real-time LLM API pricing comparator — because I was tired of not knowing the actual cost difference between models I use LLMs daily at work and kept running into the same frustration: provider pricing pages give you raw numbers per million tokens, but no way to understand what that actually means for your specific use case. Is GPT-4o really that much more expensive than Claude Sonnet for 10k requests per day? What about DeepSeek vs Gemini Flash for high-volume summarization? I
Compare and use multiple LLM models (Claude, OpenAI, Gemini, etc.) in a secure shared team workspace with your own API keys.
@uncoolavatar · X
Real phone numbers for AI agents with voice calling and SMS messaging.
@AgentLineHQ · X
Every AI agent is going to need a phone number eventually. We built the infrastructure for that. Real numbers. Voice + SMS. Built for OpenClaw, Hermes, Claude Code, Codex, LangGraph or any agent.