
OpenLimits removes usage caps and cooldowns from Claude models by providing a API with full access, real-time analytics, and OpenAI-compatible integration. Developers get uninterrupted coding with all supported models, fast setup, and one time payment instead of message or time limits.
OpenLimits is an apis & integrations tool listed on OpenHunts. The listing describes it as OpenLimits removes usage caps and cooldowns from Claude models by providing a API with full access, real-time analytics, and OpenAI-compatible integration. Developers get uninterrupted coding with all supported models, fast setup, and one time payment instead of message or time limits.
Based on the OpenHunts listing, OpenLimits works as an apis & integrations tool. Check the project description, screenshots, and website link before trying it.
OpenLimits is listed as paid on OpenHunts. Check the official website for current plan limits, trials, and billing details.
OpenLimits is best for people comparing apis & integrations tools related to ai, claude, anthropic, and openai, especially people using web, desktop, and api platforms.
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Every RAG framework hallucinates. We catch them with a number. We tested 6 popular RAG frameworks (LangChain, LlamaIndex, Haystack, CrewAI, vanilla LLM, Wauldo) on 70 adversarial prompts covering prompt injection, source contradiction, out-of-scope refusal, and factual recall. Every framework hallucinated. The actual numbers (live, daily refresh): - LangChain — 40% hallucination (42/70 pass) - LlamaIndex — 54% hallucination (32/70) - Haystack — 40% hallucination (42/70) - CrewAI — 29% hallucination (50/70) - Vanilla LLM — 14% hallucination (60/70) - Wauldo Guard — 4% hallucination (67/70) ## How it works Wauldo Guard adds a verification layer that checks every LLM claim against your source data before anything reaches users. - Numeric trust score — every response returns confidence ∈ [0, 1]. A real number, not "verified: true" hand-waving. - Source-grounded — every claim mapped back to the exact passage. No source, no answer. - Deterministic — Rust + regex + structural comparison. Not LLM-as-judge. 100% reproducible. - Open leaderboard — 6 frameworks, 70 tests, GitHub Actions daily refresh, MIT license. - 3-line install — pip install wauldo, then wauldo.guard(answer, sources). ## Try it live, no signup Paste an LLM answer + sources at wauldo.com/tools/trust-score and get a trust score in <500ms. Same engine used in production. ## Pricing Free $0 · Guard $9/mo · Pro $29/mo · Scale $99/mo · Enterprise custom Leaderboard: https://wauldo.com/leaderboard Trust Score Tool: https://wauldo.com/tools/trust-score GitHub: https://github.com/wauldo/wauldo-leaderboard

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