XSource Security's answer

AgentAudit combines 650+ real-world attack vectors with AI-powered fix suggestions. Unlike other tools, it covers the full OWASP LLM Top 10 and includes specialized scanners for MCP servers and RAG systems.

SocialFetch.dev's answer:

Social Fetch provides a unified REST API that lets developers collect public data from 20+ social platforms — TikTok, Instagram, YouTube, X, LinkedIn, Reddit, Facebook, Threads, and more — using a single consistent JSON schema. There is no need to learn or maintain separate APIs for each network. Credits never expire, and you only pay for what you use, making it ideal for both prototyping and production-scale data pipelines.

XSource Security's answer

Free tier available, no credit card required. Covers more attack vectors than competitors. AI-powered remediation suggestions powered by Claude. Includes GitHub Action for CI/CD integration.

SocialFetch.dev's answer:

Unlike solutions that require you to set up and maintain separate API integrations for each platform, Social Fetch gives you one API key and one consistent schema across all supported networks. You get the same response structure whether you are fetching TikTok videos, Instagram posts, or YouTube channels. The pay-as-you-go model means no wasted monthly spend on idle subscriptions, and credits never expire so there is no pressure to use them up.

XSource Security's answer

Security teams, AI/ML engineers, DevSecOps professionals, and CTOs who are deploying LLM-based applications and need to ensure they're secure before production.

SocialFetch.dev's answer:

Social Fetch is primarily used by developers, data engineers, and growth marketers who need programmatic access to social media data without building and maintaining individual platform integrations. Common use cases include social analytics tools, influencer research platforms, content aggregation pipelines, brand monitoring dashboards, and AI training datasets that require large-scale social content.

XSource Security's answer

Built by Eva Crystal, an OSCP+ certified AI security researcher in New Zealand. After seeing too many AI applications shipped without proper security testing, XSource Security was founded to make AI security accessible to all teams.

SocialFetch.dev's answer:

Social Fetch was founded by Luke Askew, a developer who repeatedly ran into the same problem while building social analytics tools: every platform had a different API, different authentication flows, different rate limits, and different response shapes. Building and maintaining integrations for even a handful of platforms was a significant ongoing burden. Social Fetch was created to solve this by acting as a single abstraction layer, so developers can focus on what they are building rather than on the plumbing beneath it.

XSource Security's answer

Python, FastAPI, React, PostgreSQL, NVIDIA garak, Microsoft PyRIT, Claude AI for fix suggestions.

SocialFetch.dev's answer:

Social Fetch is built on Next.js and TypeScript, deployed on Vercel. The API layer is serverless and runs on edge infrastructure for low latency globally. Data is processed and stored using cloud-native services, and the platform uses tRPC for type-safe internal APIs. The codebase is a TypeScript monorepo, enabling shared types between the API, frontend, and internal tooling.

XSource Security's answer

• Currently in early launch phase
• Targeting security-conscious startups and enterprises

SocialFetch.dev's answer:

Social Fetch is currently used by early-stage startups, independent developers, and small analytics teams. As a newer product launched in 2024, we are still growing our customer base. If you are interested in using Social Fetch or would like to be featured here, please reach out at hello@socialfetch.dev.