
ReviewHook is a unified REST API for fetching, replying to, and monitoring reviews across multiple platforms.
Unified schema: Pull reviews from Google Play, App Store, Google Business, G2 and more in one consistent format. Stop writing platform-specific parsers.
Read & reply: Fetch reviews and post replies through a single API endpoint. Same call works across every supported platform.
One integration, every platform: Add a new review source by changing one parameter. New platforms ship continuously based on what beta users request.
Beta is now open and free for early users.
ReviewHook is an apis & integrations tool listed on OpenHunts. The listing describes it as a unified REST API for fetching, replying to, and monitoring reviews across multiple platforms.
ReviewHook highlights unified schema, read & reply, and one integration, every platform. The listed feature details mention ways to pull reviews from Google Play, App Store, Google Business, G2 and more in one consistent format. Stop writing platform-specific parsers, fetch reviews and post replies through a single API endpoint. Same call works across every supported platform, and add a new review source by changing one parameter. New platforms ship continuously based on what beta users request.
ReviewHook is listed as freemium on OpenHunts. Check the official website for current plan limits, trials, and billing details.
ReviewHook is best for people comparing apis & integrations tools on OpenHunts, especially people using web 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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Orshot is an API-first platform for generating images, PDFs and videos from templates at scale — built for developers, agencies and marketing teams.