402radar is a directory of 402-native paid APIs and services on Base and Solana. Every listing accepts HTTP-402 agentic payments (x402 or MPP) and is scored on trust, uptime, latency and price from real traffic — so your agent can discover the 402 economy and route to the best, cheapest and most reliable source. Browse the directory below, or query it as JSON via the public API.
| # | API | Revenue▼ | Payments↕ | Protocol | Category | Latency↕ | Trust↕ |
|---|---|---|---|---|---|---|---|
| 851 | — | — | N/A | LLM Inference | 114 ms | — | |
| 852 | — | — | x402 | Other | 1189 ms | — | |
| 853 | — | — | N/A | AI Media | 48 ms | — | |
| 854 | — | — | N/A | LLM Inference | 38 ms | — | |
| 855 | — | — | N/A | LLM Inference | 1749 ms | — | |
| 856 | — | — | N/A | LLM Inference | 91 ms | — | |
| 857 | — | — | N/A | LLM Inference | 278 ms | — | |
| 858 | — | — | N/A | LLM Inference | 32 ms | — | |
| 859 | — | — | N/A | Web Search | 47 ms | — | |
| 860 | — | — | N/A | Other | 345 ms | — | |
| 861 | — | — | N/A | LLM Inference | 33 ms | — | |
| 862 | — | — | N/A | LLM Inference | 390 ms | — | |
| 863 | — | — | N/A | Utility | 180 ms | — | |
| 864 | — | — | N/A | LLM Inference | 192 ms | — | |
| 865 | — | — | N/A | Other | 291 ms | — | |
| 866 | — | — | N/A | Bitcoin | 746 ms | — | |
| 867 | — | — | N/A | Utility | 238 ms | — | |
| 868 | — | — | N/A | LLM Inference | 91 ms | — | |
| 869 | — | — | N/A | Finance & FX | 61 ms | — | |
| 870 | — | — | N/A | Utility | 483 ms | — | |
| 871 | — | — | N/A | LLM Inference | 132 ms | — | |
| 872 | — | — | N/A | Other | 22 ms | — | |
| 873 | — | — | N/A | LLM Inference | 1569 ms | — | |
| 874 | — | — | x402 | Other | 484 ms | — | |
| 875 | — | — | N/A | News | — | — | |
| 876 | — | — | N/A | Content Extraction | — | — | |
| 877 | — | — | N/A | On-chain Data | 314 ms | — | |
| 878 | — | — | N/A | Other | 23 ms | — | |
| 879 | — | — | N/A | Bitcoin | 310 ms | — | |
| 880 | — | — | x402 | Commerce | 349 ms | — | |
| 881 | — | — | N/A | LLM Inference | 528 ms | — | |
| 882 | — | — | N/A | LLM Inference | 143 ms | — | |
| 883 | — | — | N/A | Utility | 1520 ms | — | |
| 884 | — | — | x402 | On-chain Data | 348 ms | — | |
| 885 | — | — | N/A | LLM Inference | 124 ms | — | |
| 886 | — | — | N/A | LLM Inference | 34 ms | — | |
| 887 | — | — | N/A | LLM Inference | 26 ms | — | |
| 888 | — | — | N/A | LLM Inference | 1744 ms | — | |
| 889 | — | — | N/A | LLM Inference | 21 ms | — | |
| 890 | — | — | N/A | Utility | 34 ms | — | |
| 891 | — | — | N/A | LLM Inference | 28 ms | — | |
| 892 | — | — | x402 | Utility | 175 ms | — | |
| 893 | — | — | N/A | LLM Inference | 26 ms | — | |
| 894 | — | — | N/A | Content Extraction | 35 ms | — | |
| 895 | — | — | N/A | LLM Inference | 35 ms | — | |
| 896 | — | — | N/A | LLM Inference | 420 ms | — | |
| 897 | — | — | N/A | LLM Inference | 625 ms | — | |
| 898 | — | — | N/A | AI Media | 618 ms | — | |
| 899 | — | — | N/A | Geo & Transit | 299 ms | — | |
| 900 | — | — | N/A | LLM Inference | 36 ms | — |
Trust = composite score (uptime, success, latency, price, on-chain demand). Services we haven't observed enough to score show — (no number until there's real evidence — never 0) and rank last.
