GPTBots.ai

• ▸No-Code Agent Builder: visual drag-and-drop interface to build, configure, and deploy AI agents
• ▸Workflow Builder (Flow 2.0): drag-and-drop automation for multi-step, controllable AI pipelines
• ▸Agentic RAG Knowledge Base: hybrid semantic + keyword retrieval with reranking and citation display; supports PDF, DOC, MD, TXT, CSV, XLS, XLSX and Q&A pairs
• ▸Custom LLM configuration and fine-tuning with corporate data
• ▸Multi-Agent System for collaborative, autonomous multi-step tasks
• ▸Multi-LLM support: switch between GPT-5, GPT-4o, Claude, DeepSeek, Gemini and others, via GPTBots-managed keys or BYOK
• ▸Publishing agents to WhatsApp, Discord, Slack, Telegram, Facebook, Zapier, via API or JS embed
• ▸Organizations split into DevSpace (build/debug/deploy) and WorkSpace (use published Agents/workflows/AI Search)

Notable endpoints

• Comprehensive REST API (named as a platform capability in the docs overview, but no specific endpoint list or reference page was retrieved)

Machine-readable spec

No OpenAPI link

It supports natural-language database queries (Text2SQL), data-driven charts (Data2Chart), a REST API, model deployment/fine-tuning, LLM load balancing, and enterprise controls like content security review, information anonymization, encrypted storage, ISO certification, and RBAC. The company behind it, Aurora Mobile, is publicly listed on NASDAQ under ticker JG per the vendor's own llms.txt.

Enterprise developers building AI-powered automation and business teams deploying AI agents without coding, across customer support, AI SDR/lead generation, enterprise search, and data insights use cases; the vendor claims 1,000+ global brands as customers.

The platform's own llms.txt states billing is entirely credit-based (100 credits = $1 USD) across Free (100 credits/month), Business (10,000 credits/month, up to 100 Agents), and Enterprise (private deployment, custom implementation) tiers - teams that need predictable flat per-seat costs, or that need more than 100 Agents without moving to a custom Enterprise deal, are working against the plan structure as described. We could not retrieve a public pricing page with actual dollar figures for the Business tier beyond the llms.txt summary, so budget-sensitive buyers should confirm exact costs directly with the vendor before committing.

• A pricing page with actual dollar figures for the Business and Enterprise tiers - only the llms.txt credit-allowance summary was retrieved, so pricingRetrieved is false and plans are empty
• REST API reference details (auth scheme, base URL, endpoint list, rate limits)
• Social media links (LinkedIn, X, YouTube, GitHub)
• A machine-readable OpenAPI specification was not included in the reviewed source set.
• Published pricing was not available in the reviewed source set; confirm current commercial terms with the vendor.