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↕ |
|---|---|---|---|---|---|---|---|
| 1801 | $0.01* | 1▲ 100.0% | N/A | Other | 495 ms | — | |
| 1802 | $0.01* | 1 | N/A | LLM Inference | 582 ms | 55 | |
| 1803 | $0.01*▲ 0.0% | 1 | N/A | Other | 152 ms | 55 | |
| 1804 | $0.01*▲ 0.0% | 1▼ 100.0% | N/A | LLM Inference | 315 ms | 55 | |
| 1805 | $0.01*▼ 50.0% | 1▲ 100.0% | N/A | Content Extraction | 178 ms | 55 | |
| 1806 | $0.01* | 1 | x402 | Other | 718 ms | 55 | |
| 1807 | $0.01* | 1 | x402 | Crypto Prices | 180 ms | 55 | |
| 1808 | $0.01* | 1 | N/A | On-chain Data | 536 ms | 55 | |
| 1809 | $0.01* | 1▲ 100.0% | N/A | Other | 164 ms | — | |
| 1810 | $0.01* | 1 | N/A | Other | 150 ms | 55 | |
| 1811 | $0.01* | 1 | N/A | AI Media | 70 ms | 55 | |
| 1812 | $0.01*▼ 87.5% | 1 | N/A | LLM Inference | 182 ms | 55 | |
| 1813 | $0.01* | 1 | N/A | Other | 52 ms | 55 | |
| 1814 | $0.01* | 1▲ 100.0% | N/A | LLM Inference | 422 ms | — | |
| 1815 | $0.01*▼ 50.0% | 1 | N/A | LLM Inference | 60 ms | 55 | |
| 1816 | $0.01* | 1 | N/A | Other | 552 ms | 55 | |
| 1817 | $0.01*▼ 50.0% | 1 | N/A | Other | 504 ms | 55 | |
| 1818 | $0.01 | 1 | x402 | Compliance | 216 ms | 55 | |
| 1819 | $0.01*▼ 80.0% | 1 | x402 | AI Media | 1113 ms | 55 | |
| 1820 | $0.01* | 1 | N/A | Other | 129 ms | 55 | |
| 1821 | — | 40 | N/A | Crypto Prices | 281 ms | 74 | |
| 1822 | — | 5 | N/A | Other | 485 ms | 63 | |
| 1823 | — | 4▼ 100.0% | N/A | Other | 144 ms | 62 | |
| 1824 | — | 4 | x402 | Other | 54 ms | 62 | |
| 1825 | — | 4 | x402 | Other | 156 ms | 62 | |
| 1826 | — | 4 | N/A | LLM Inference | — | 18 | |
| 1827 | — | 4▲ 100.0% | N/A | Other | 32 ms | 62 | |
| 1828 | — | 4▼ 100.0% | x402 | Other | 64 ms | 62 | |
| 1829 | — | 4 | N/A | Other | 222 ms | 62 | |
| 1830 | — | 3 | N/A | Bitcoin | 262 ms | 61 | |
| 1831 | — | 3▲ 100.0% | N/A | LLM Inference | 53 ms | 61 | |
| 1832 | — | 3 | x402 | Data Enrichment | 462 ms | 61 | |
| 1833 | — | 3 | x402 | Other | 3155 ms | 61 | |
| 1834 | — | 3 | N/A | Other | 651 ms | 61 | |
| 1835 | — | 3 | N/A | On-chain Data | 1015 ms | 61 | |
| 1836 | — | 3▼ 50.0% | N/A | On-chain Data | 51 ms | 61 | |
| 1837 | — | 3▼ 50.0% | N/A | LLM Inference | 348 ms | 61 | |
| 1838 | — | 3▲ 100.0% | N/A | On-chain Data | 782 ms | 61 | |
| 1839 | — | 3 | x402 | Other | 50 ms | 42 | |
| 1840 | — | 3 | N/A | Content Extraction | 42 ms | 61 | |
| 1841 | — | 3▼ 100.0% | N/A | Other | 169 ms | 61 | |
| 1842 | — | 3▼ 50.0% | N/A | Prediction Markets | 53 ms | 29 | |
| 1843 | — | 2 | N/A | On-chain Data | 318 ms | 59 | |
| 1844 | — | 2 | N/A | LLM Inference | 202 ms | 59 | |
| 1845 | — | 2 | N/A | Other | 44 ms | 59 | |
| 1846 | — | 2▲ 100.0% | N/A | LLM Inference | 476 ms | 59 | |
| 1847 | — | 2▲ 100.0% | N/A | LLM Inference | 136 ms | 59 | |
| 1848 | — | 2▼ 100.0% | N/A | Other | 336 ms | 59 | |
| 1849 | — | 2 | N/A | Other | 395 ms | 59 | |
| 1850 | — | 2▲ 100.0% | N/A | LLM Inference | 390 ms | 59 |
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.