Services: —Endpoints: —Facilitators: —Total Volume: —7d Vol: —24h Vol: —
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↕ |
|---|---|---|---|---|---|---|---|
| 1851 | — | — | x402 | AI Media | 1194 ms | 55 | |
| 1852 | — | — | N/A | Other | 1196 ms | 55 | |
| 1853 | — | — | N/A | Other | 269 ms | 55 | |
| 1854 | — | — | x402 | LLM Inference | 124 ms | 55 | |
| 1855 | — | — | N/A | On-chain Data | 116 ms | 55 | |
| 1856 | — | — | x402 | Compliance | 165 ms | 55 | |
| 1857 | — | — | N/A | Other | 25 ms | 10 | |
| 1858 | — | — | N/A | Other | 373 ms | 55 | |
| 1859 | — | — | N/A | Data Enrichment | 206 ms | 55 | |
| 1860 | — | — | N/A | On-chain Data | 1819 ms | 55 | |
| 1861 | — | — | N/A | On-chain Data | 518 ms | 53 | |
| 1862 | — | — | N/A | Other | 3006 ms | 55 | |
| 1863 | — | — | N/A | Other | — | 13 | |
| 1864 | — | — | N/A | Other | 220 ms | 55 | |
| 1865 | — | — | x402 | Other | 94 ms | 55 | |
| 1866 | — | — | N/A | LLM Inference | 380 ms | 55 | |
| 1867 | — | — | N/A | Other | 100 ms | 55 | |
| 1868 | — | — | N/A | Other | 96 ms | 55 | |
| 1869 | — | — | MPP | Other | 602 ms | 55 | |
| 1870 | — | — | N/A | LLM Inference | — | 65 | |
| 1871 | — | — | N/A | Utility | 2287 ms | 55 | |
| 1872 | — | 1 | N/A | AI Media | — | — | |
| 1873 | — | — | N/A | AI Media | 41 ms | 55 | |
| 1874 | — | — | N/A | LLM Inference | 467 ms | 55 | |
| 1875 | — | — | N/A | Other | 330 ms | 55 | |
| 1876 | — | — | x402 | Other | 2084 ms | 55 | |
| 1877 | — | — | N/A | On-chain Data | 50 ms | 55 | |
| 1878 | — | — | N/A | LLM Inference | 562 ms | 55 | |
| 1879 | — | — | N/A | Other | 234 ms | 55 | |
| 1880 | — | — | N/A | LLM Inference | 198 ms | 55 | |
| 1881 | — | — | N/A | Geo & Transit | 255 ms | 55 | |
| 1882 | — | — | N/A | Other | 892 ms | 55 | |
| 1883 | — | — | N/A | LLM Inference | 124 ms | 55 | |
| 1884 | — | — | N/A | Prediction Markets | 62 ms | 13 | |
| 1885 | — | — | N/A | Other | 950 ms | 55 | |
| 1886 | — | — | N/A | Other | 44 ms | 55 | |
| 1887 | — | — | N/A | Compliance | 290 ms | 55 | |
| 1888 | — | — | x402 | Other | 718 ms | 55 | |
| 1889 | — | — | N/A | Other | 293 ms | 55 | |
| 1890 | — | — | N/A | LLM Inference | 222 ms | 55 | |
| 1891 | — | 1 | N/A | Other | 28 ms | 16 | |
| 1892 | — | — | N/A | Content Extraction | 314 ms | 50 | |
| 1893 | — | — | x402 | AI Media | 297 ms | 55 | |
| 1894 | — | — | N/A | Other | 51 ms | 26 | |
| 1895 | — | — | x402 | AI Media | 47 ms | 55 | |
| 1896 | — | — | x402 | Other | 304 ms | 55 | |
| 1897 | — | — | MPP | Other | 302 ms | 55 | |
| 1898 | — | — | N/A | Compliance | 109 ms | 55 | |
| 1899 | — | — | N/A | AI Media | 68 ms | 55 | |
| 1900 | — | — | N/A | Data Enrichment | 31 ms | 55 |
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.
