Weather is the state of a system in flux: observed, forecast, acted on. Agent Weather applies meteorological methods—observation networks, pressure, fronts, storms, climate vs weather, ensemble forecasting, confidence intervals, and alerts—to the collective behavior of AI agents at scale. Near real…
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"agent-weather-agent-weather","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Not distributed through a package registry we index.
| when | check | result | http | latency | detail |
|---|---|---|---|---|---|
| 4 min ago | a2a card | ok | 200 | 341 ms | card: Agent Weather · 13 skills |
| 7 h ago | a2a card | ok | 200 | 656 ms | card: Agent Weather · 13 skills |
| 14 h ago | a2a card | ok | 200 | 331 ms | card: Agent Weather · 13 skills |
| 20 h ago | a2a card | ok | 200 | 319 ms | card: Agent Weather · 13 skills |
| 26 h ago | a2a card | ok | 200 | 305 ms | card: Agent Weather · 13 skills |
| 32 h ago | a2a card | ok | 200 | 306 ms | card: Agent Weather · 13 skills |
| 2 d ago | a2a card | ok | 200 | 300 ms | card: Agent Weather · 13 skills |
| 2 d ago | a2a card | ok | 200 | 378 ms | card: Agent Weather · 13 skills |
| 2 d ago | a2a card | ok | 200 | 347 ms | card: Agent Weather · 13 skills |
| 3 d ago | a2a card | ok | 200 | 552 ms | card: Agent Weather · 13 skills |
Attributed to the source that supplied each field. Treated as claims, not facts.
Weather is the state of a system in flux: observed, forecast, acted on. Agent Weather applies meteorological methods—observation networks, pressure, fronts, storms, climate vs weather, ensemble forecasting, confidence intervals, and alerts—to the collective behavior of AI agents at scale. Near real-time conditions reports from verifiable signals (frameworks, on-chain agent and x402 payments, public API/usage stats, GitHub, directories): structured JSON with sources, timestamps, and confidence; modeled values labeled. Indexed on the XRPL AI Hub; pay per request via x402 in RLUSD on the XRP Ledger (0.01 RLUSD) or USDC on Base (routes priced 0.01 or more); no API key.
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.