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↕ |
|---|---|---|---|---|---|---|---|
| 951 | — | — | N/A | Other | 218 ms | — | |
| 952 | — | — | N/A | Other | 19 ms | — | |
| 953 | — | — | N/A | Utility | 1744 ms | — | |
| 954 | — | — | N/A | LLM Inference | 654 ms | — | |
| 955 | — | — | N/A | LLM Inference | 30 ms | — | |
| 956 | — | — | N/A | Finance & FX | 346 ms | — | |
| 957 | — | — | N/A | LLM Inference | 366 ms | — | |
| 958 | — | — | x402 | Other | 23 ms | — | |
| 959 | — | — | N/A | LLM Inference | 40 ms | — | |
| 960 | — | — | N/A | LLM Inference | 21 ms | — | |
| 961 | — | — | N/A | LLM Inference | 53 ms | — | |
| 962 | — | — | N/A | Utility | 291 ms | — | |
| 963 | — | — | N/A | AI Media | — | — | |
| 964 | — | — | N/A | LLM Inference | 317 ms | — | |
| 965 | — | — | N/A | Compliance | 47 ms | — | |
| 966 | — | — | N/A | On-chain Data | 51 ms | — | |
| 967 | — | — | N/A | LLM Inference | 26 ms | — | |
| 968 | — | — | N/A | LLM Inference | 132 ms | — | |
| 969 | — | — | N/A | LLM Inference | 799 ms | — | |
| 970 | — | — | N/A | AI Media | 162 ms | — | |
| 971 | — | — | N/A | Content Extraction | 721 ms | — | |
| 972 | — | — | N/A | LLM Inference | 38 ms | — | |
| 973 | — | — | N/A | LLM Inference | 762 ms | — | |
| 974 | — | — | N/A | LLM Inference | 242 ms | — | |
| 975 | — | — | N/A | LLM Inference | 560 ms | — | |
| 976 | — | — | N/A | LLM Inference | 371 ms | — | |
| 977 | — | — | N/A | Other | 817 ms | — | |
| 978 | — | — | N/A | LLM Inference | 603 ms | — | |
| 979 | — | — | N/A | LLM Inference | 40 ms | — | |
| 980 | — | — | N/A | LLM Inference | 73 ms | — | |
| 981 | — | — | N/A | LLM Inference | 22 ms | — | |
| 982 | — | — | MPP | Other | 159 ms | — | |
| 983 | — | — | N/A | Utility | 30 ms | — | |
| 984 | — | — | N/A | LLM Inference | 1750 ms | — | |
| 985 | — | — | N/A | Utility | 3525 ms | — | |
| 986 | — | — | N/A | LLM Inference | — | — | |
| 987 | — | — | N/A | LLM Inference | 210 ms | — | |
| 988 | — | — | N/A | LLM Inference | 22 ms | — | |
| 989 | — | — | N/A | LLM Inference | 112 ms | — | |
| 990 | — | — | N/A | Other | 67 ms | — | |
| 991 | — | — | N/A | LLM Inference | 347 ms | — | |
| 992 | — | — | N/A | LLM Inference | 32 ms | — | |
| 993 | — | — | x402 | AI Media | 164 ms | — | |
| 994 | — | — | N/A | Other | 21 ms | — | |
| 995 | — | — | N/A | LLM Inference | 89 ms | — | |
| 996 | — | — | N/A | LLM Inference | 40 ms | — | |
| 997 | — | — | N/A | LLM Inference | 62 ms | — | |
| 998 | — | — | N/A | Data Enrichment | 194 ms | — | |
| 999 | — | — | N/A | LLM Inference | 194 ms | — | |
| 1000 | — | — | N/A | Utility | 1744 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.
