BeatAPI vs iLang Inc.
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
BeatAPI compared with iLang Inc.
| Detail | 
BeatAPI | 
iLang Inc. |
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| What it does | One API for AI agents to access models, data and tools with one key and one balance
| The native language of AI; in human terms, a protocol.
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| Stage | Not given
| Startup
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| Founded | Not given
| 2026
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| Based in | Not given
| CA
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| Pricing model | Paid
| Open source
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| Pricing | Not given
| Not given
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| Key features | - 70+ AI models from multiple providers at up to 78% discount
- 1,000+ social data APIs for TikTok, Instagram, YouTube, X, Reddit, LinkedIn, Threads, Xiaohongshu and Douyin
- Web tools including search, page reading, and site maps
- Image, video and workflow generation
- Single API key and USD balance for all capabilities
- Price inspection before execution
- Hosted image and video output with URLs
- MCP and HTTP API support for agent integration
- Structured JSON output from data queries
- No charges for failed data and web calls
| - AI-native communication protocol with 88 verbs and two syntaxes
- AI See: give any AI model vision by pasting i.ilang.ai URLs
- Zero installation required, pure text format
- Works across ChatGPT, Claude, Gemini, DeepSeek, Qwen and other models
- Loader available via pip and npm for automatic protocol injection
- Prompt compression: 67% reduction in tokens for typical instructions
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| What makes it different | - Built specifically for agents to use independently - they search the catalog, inspect contracts and prices, then execute
- Unified billing across 70+ models and 1,000+ data APIs with no separate vendor accounts
- Price transparency - every capability publishes cost before execution
- Hosted file storage for generated images and videos
- Supports multiple AI agents and any HTTP client with one setup line
| - First protocol to formally map Greek mathematical symbols as primitive verbs for AI-to-AI communication
- Computable vector space for AI judgment using 11 dimensions and fuzzy mathematics instead of binary classification
- Open source and MIT licensed with no royalties or approval required
- Operates at the instruction and behavioral layer, complementary to MCP and A2A protocols
- Tested and benchmarked with public conformance results and DOI-registered research
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| Free plan | Not given
| Not given
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| Open source | Not given
| Not given
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| Platforms | Not given
| Not given
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| Public API | Not given
| Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 40 ▼ −1 (down) since last check | 38 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 10 | 7 |
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| Citation Flow (Majestic) | 35 | 27 |
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| Referring domains (Majestic) | 206 | 66 |
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4 details filled in for both companies.
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