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↕ |
|---|---|---|---|---|---|---|---|
| 1601 | $0.02* | 2▲ 100.0% | N/A | LLM Inference | 548 ms | — | |
| 1602 | $0.02*▼ 33.3% | 2 | N/A | LLM Inference | 221 ms | 59 | |
| 1603 | $0.02*▲ 100.0% | 2 | N/A | Other | 166 ms | 59 | |
| 1604 | $0.02* | 2▲ 100.0% | N/A | LLM Inference | 176 ms | — | |
| 1605 | $0.02*▲ 0.0% | 2 | N/A | Compliance | 1910 ms | 59 | |
| 1606 | $0.02* | 2 | N/A | Other | 186 ms | 59 | |
| 1607 | $0.02* | 2▲ 100.0% | x402 | Prediction Markets | 398 ms | 59 | |
| 1608 | $0.02* | 2▲ 100.0% | x402 | Other | 139 ms | 59 | |
| 1609 | $0.02* | 2 | N/A | Other | 920 ms | 59 | |
| 1610 | $0.02*▼ 83.3% | 2 | N/A | Finance & FX | — | 15 | |
| 1611 | $0.02▼ 87.5% | 2 | x402 | AI Media | 159 ms | 59 | |
| 1612 | $0.02▼ 33.3% | 2 | x402 | LLM Inference | 204 ms | 59 | |
| 1613 | $0.02* | 2▼ 100.0% | N/A | Utility | 63 ms | 59 | |
| 1614 | $0.02* | 2 | N/A | Other | 147 ms | 59 | |
| 1615 | $0.02*▲ 100.0% | 2 | x402 | Other | 176 ms | 59 | |
| 1616 | $0.02* | 2 | N/A | Data Enrichment | 1024 ms | 59 | |
| 1617 | $0.02* | 2 | N/A | Other | 288 ms | 59 | |
| 1618 | $0.02▼ 75.0% | 2 | x402 | AI Media | 211 ms | 59 | |
| 1619 | $0.02* | 2 | N/A | Compliance | 120 ms | 59 | |
| 1620 | $0.02* | 2▼ 100.0% | N/A | On-chain Data | 74 ms | 59 | |
| 1621 | $0.02*▼ 91.7% | 2 | N/A | Other | 36 ms | 59 | |
| 1622 | $0.02*▲ 100.0% | 2 | x402 | Other | 354 ms | 59 | |
| 1623 | $0.02* | 2▼ 100.0% | N/A | Other | 121 ms | 59 | |
| 1624 | $0.02▲ 100.0% | 2 | N/A | Other | 77 ms | 59 | |
| 1625 | $0.02 | 1 | x402 | LLM Inference | 169 ms | 55 | |
| 1626 | $0.02*▼ 99.1% | 1 | N/A | Other | 233 ms | 55 | |
| 1627 | $0.02*▼ 50.0% | 1 | N/A | LLM Inference | 126 ms | 55 | |
| 1628 | $0.02* | 1 | N/A | On-chain Data | 518 ms | 52 | |
| 1629 | $0.02*▼ 95.1% | 1 | N/A | Other | 290 ms | 55 | |
| 1630 | $0.02*▼ 77.8% | 1 | N/A | Other | 34 ms | 13 | |
| 1631 | $0.02*▼ 98.2% | 1 | N/A | Other | 173 ms | 55 | |
| 1632 | $0.02*▼ 94.1% | 1 | N/A | Other | 199 ms | 55 | |
| 1633 | $0.02*▼ 66.7% | 1 | N/A | Geo & Transit | 254 ms | 55 | |
| 1634 | $0.02* | 1 | N/A | Other | 277 ms | 55 | |
| 1635 | $0.02* | 1 | N/A | On-chain Data | 93 ms | 55 | |
| 1636 | $0.02* | 1 | MPP | Other | 304 ms | 55 | |
| 1637 | $0.02* | 1 | N/A | On-chain Data | 52 ms | 55 | |
| 1638 | $0.02* | 1 | N/A | Other | 208 ms | 55 | |
| 1639 | $0.02* | 1▲ 100.0% | N/A | Geo & Transit | 3296 ms | 55 | |
| 1640 | $0.02* | 1▼ 100.0% | N/A | Other | 63 ms | 55 | |
| 1641 | $0.02* | 1 | N/A | Other | 27 ms | 55 | |
| 1642 | $0.02*▼ 50.0% | 1 | x402 | Commerce | 184 ms | 55 | |
| 1643 | $0.02* | 1 | N/A | Utility | 223 ms | 55 | |
| 1644 | $0.01* | 15▼ 40.0% | N/A | Content Extraction | 76 ms | 69 | |
| 1645 | $0.01* | 13 | N/A | LLM Inference | 150 ms | 68 | |
| 1646 | $0.01*▼ 83.3% | 13▲ 0.0% | N/A | Utility | 372 ms | 68 | |
| 1647 | $0.01* | 11▲ 100.0% | N/A | Finance & FX | 38 ms | 26 | |
| 1648 | $0.01*▲ 0.0% | 11 | x402 | Other | 156 ms | 67 | |
| 1649 | $0.01*▼ 75.0% | 11▼ 100.0% | N/A | On-chain Data | 479 ms | 67 | |
| 1650 | $0.01*▼ 83.3% | 10 | x402 | Other | 265 ms | 67 |
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.