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↕ |
|---|---|---|---|---|---|---|---|
| 2351 | — | — | N/A | LLM Inference | 121 ms | — | |
| 2352 | — | — | x402 | Other | 2039 ms | — | |
| 2353 | — | — | N/A | Other | 218 ms | 68 | |
| 2354 | — | — | N/A | Other | 212 ms | 62 | |
| 2355 | — | — | x402 | Other | 29 ms | 16 | |
| 2356 | — | — | N/A | Other | 421 ms | 70 | |
| 2357 | — | — | x402 | Data Enrichment | 308 ms | — | |
| 2358 | — | — | N/A | Other | 500 ms | 69 | |
| 2359 | — | — | N/A | Other | 68 ms | 13 | |
| 2360 | — | — | x402 | On-chain Data | 512 ms | 77 | |
| 2361 | — | — | x402 | Data Enrichment | 185 ms | 87 | |
| 2362 | — | — | N/A | AI Media | 72 ms | 55 | |
| 2363 | — | — | x402 | AI Media | 49 ms | 55 | |
| 2364 | — | — | N/A | Other | 51 ms | 25 | |
| 2365 | — | — | N/A | Other | 831 ms | 65 | |
| 2366 | — | — | N/A | LLM Inference | 384 ms | — | |
| 2367 | — | — | N/A | Other | 464 ms | 72 | |
| 2368 | — | — | N/A | Content Extraction | 174 ms | 69 | |
| 2369 | — | — | N/A | Other | 475 ms | 61 | |
| 2370 | — | — | x402 | LLM Inference | 90 ms | 59 | |
| 2371 | — | — | N/A | LLM Inference | 347 ms | — | |
| 2372 | — | — | N/A | Other | 103 ms | — | |
| 2373 | — | — | N/A | Other | 32 ms | 65 | |
| 2374 | — | — | x402 | Other | 152 ms | 69 | |
| 2375 | — | — | N/A | AI Media | 605 ms | — | |
| 2376 | — | — | N/A | Other | 26 ms | — | |
| 2377 | — | — | N/A | Other | 24 ms | — | |
| 2378 | — | — | N/A | Geo & Transit | 256 ms | — | |
| 2379 | — | — | N/A | LLM Inference | 828 ms | — | |
| 2380 | — | — | N/A | LLM Inference | 34 ms | — | |
| 2381 | — | — | N/A | LLM Inference | 418 ms | — | |
| 2382 | — | — | N/A | Utility | 99 ms | — | |
| 2383 | — | — | N/A | Content Extraction | 214 ms | — | |
| 2384 | — | — | N/A | LLM Inference | 284 ms | — | |
| 2385 | — | — | N/A | LLM Inference | 159 ms | — | |
| 2386 | — | — | N/A | Other | 117 ms | — | |
| 2387 | — | — | N/A | Utility | — | — | |
| 2388 | — | — | N/A | On-chain Data | 32 ms | — | |
| 2389 | — | — | N/A | LLM Inference | 28 ms | — | |
| 2390 | — | — | N/A | Utility | 83 ms | — | |
| 2391 | — | — | N/A | Other | 53 ms | — | |
| 2392 | — | — | N/A | On-chain Data | 294 ms | — | |
| 2393 | — | — | N/A | LLM Inference | 47 ms | — | |
| 2394 | — | — | N/A | Other | 24 ms | — | |
| 2395 | — | — | N/A | LLM Inference | 120 ms | — | |
| 2396 | — | — | N/A | LLM Inference | 701 ms | — | |
| 2397 | — | — | N/A | LLM Inference | 267 ms | — | |
| 2398 | — | — | N/A | LLM Inference | 89 ms | — | |
| 2399 | — | — | N/A | LLM Inference | 35 ms | — | |
| 2400 | — | — | N/A | Market Data | 1503 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.
