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Agent Weather Current Conditions
x402
Agent Weather Current Conditions is a paid API for AI agents from api.agentweather.io, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Returns a single snapshot of AI-agent ecosystem health including provider incidents, framework GitHub activity, x402 payment volume on XRPL, MCP registry updates, and derived condition indexes.
Price / call$0.01
Success—
StatusUnknown
How this service works
Use when you need one snapshot of AI-agent ecosystem conditions (provider incidents, framework activity, x402 activity) before planning work. Latest recorded readings: GitHub stats for 6 agent frameworks (LangChain, LangGraph, AutoGen, CrewAI, OpenAI Agents SDK, MCP servers), public status pages and incidents for AI providers Anthropic and Morph plus GitHub platform status (credited per source; not affiliated), MCP Registry entries updated in the last hour, npm weekly downloads (@modelcontextpr…
Output
A structured JSON report including: provider status and active incidents (Anthropic, Morph, GitHub), GitHub stars/activity for 6 agent frameworks, MCP Registry entries updated in the last hour, npm weekly downloads for MCP and x402 packages, XRPL mainnet server_info, derived 'visibility' and 'pressure' index values with formulas, x402 payment volume/payer/merchant stats with real-vs-automated heuristic, 24h/7d baselines, baseline-relative temperature readings, per-source timestamps, data gaps, confidence score, and data-quality score.
Example use cases
Pre-flight check before agentic workflow
“Before I run my multi-agent job, can you grab the latest Agent Weather reading and tell me if Anthropic or GitHub are reporting any incidents, and what the ecosystem confidence score is right now?”
Monitoring x402 adoption on XRPL
“What does the current Agent Weather report say about x402 payment activity on XRPL — how many unique payers and merchants are there, and is volume up or down compared to the 24-hour baseline?”
Tracking AI framework momentum
“Pull the latest Agent Weather snapshot and summarize the GitHub activity for LangChain, CrewAI, AutoGen, and the OpenAI Agents SDK — I want to know which frameworks are most active right now.”
Technical details
Endpoint
GEThttps://api.agentweather.io/v1/agent-weather/current?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a broad, consolidated pre-flight snapshot of the entire AI agent ecosystem in a single call, rather than querying individual provider status pages, GitHub APIs, XRPL nodes, or npm separately. It is especially useful before launching complex agentic workflows, for dashboards that surface ecosystem health at a glance, or when you want x402 payment activity alongside framework and provider status in one response. For narrower, dedicated queries — like a single model's live pricing or isolated x402 payment history — prefer the sibling endpoints on the same host.
Side effects
- One or more upstream sources (GitHub, Anthropic status, XRPL) may be unavailable, resulting in data_gaps entries and reduced confidence score
- Response may contain null values for uncalibrated confidence fields
- XRPL ledger scan may lag real-time by several minutes
- npm or MCP registry data may be stale if external APIs are slow
- Payment via x402 fails if USDC balance is insufficient or payTo address is unreachable
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| properties | string |
Output
Schema · Response
{
"type": "json",
"example": {
"scope": {
"region": "global",
"ecosystem": "all",
"related_ecosystems": [
"frameworks",
"providers",
"mcp",
"x402",
"xrpl"
]
},
"alerts": [],
"indices": {
"pressure": 50,
"visibility": 1,
"temperature": -0.25
},
"payment": {
"asset": "RLUSD",
"amount": "0.01",
"scheme": "exact",
"network": "xrpl:0",
"protocol": "x402",
"invoiceId": "<extra.invoiceId from the 402>",
"facilitator": "t54",
"transaction": "<your XRPL tx hash>"
},
"sources": [
{
"name": "GitHub REST API: langchain-ai/langchain",
"status": "ok",
"observed_at": "2026-10-12T00:18:31.570Z"
}
],
"summary": "Recorded readings as of 2026-10-14T04:04:01.318Z. AI provider status pages: anthropic: All Systems Operational (indicator none); morph: Partial System Degradation (indicator minor). github platform status: All Systems Operational (indicator none). 1 active incident alert. MCP Registry: 100+ server entries updated in the last 1h. XRPL mainnet: validated ledger 107642637, age 0 s, load factor 1. x402 on XRPL (t54-tagged, own ledger scan): 9929 payments, 110 payers, 64 payees in the last 1h. npm weekly downloads: @modelcontextprotocol/sdk 64994424, @x402/core 414035, @x402/xrpl 577. GitHub stars for 6 agent framework repos: langchain 147804, langgraph 43229, autogen 61393, crewAI 59668, openai-agents-python 30021, servers 91227. Derived (see conditions): visibility 1 (data coverage), pressure 50 (AI-provider disturbance %), temperature -0.25 (x402 activity z-score). 4 data gaps listed; 18 sources with timestamps. Recorded measurements; may be late, incomplete or wrong.",
"forecast": [],
"valid_to": "2026-10-14T04:19:01.318Z",
"data_gaps": [
{
"gap": "forecast",
"reason": "history is being collected but no forecast model is validated yet; forecasts omitted rather than invented"
}
],
"issued_at": "2026-10-14T04:04:01.318Z",
"report_id": "awr-2026-10-14T0404Z-all",
"conditions": {
"wind": {
"note": "needs star/download deltas over time",
"unit": "share-points/week",
"speed": null
},
"pressure": {
"name": "provider disturbance index",
"unit": "percent of tracked providers with statuspage indicator != none",
"value": 50,
"reason": "history spans 360.27h but only 20 of the 48 required snapshots exist in the last 24h (collection gaps)",
"modeled": true,
"baseline": "insufficient_history",
"samples_24h": 20,
"required_hours": 24,
"hours_collected": 360.27,
"required_samples_24h": 48
},
"visibility": {
"name": "data coverage",
"unit": "fraction of expected sources reporting",
"value": 1,
"observed": true
},
"temperature": {
"name": "x402 activity level (XRPL, t54-tagged payments)",
"unit": "z-score: payments in last complete UTC hour vs trailing hourly baseline",
"trend": "steady",
"value": -0.25,
"modeled": true,
"baseline": {
"mean": 10648.7,
"hours": 168,
"stdev": 4059.9,
"window": "7d"
},
"observed_value": {
"hour": "2026-10-11T21:00:00.000Z",
"payments": 9908
}
}
},
"confidence": {
"basis": "data_quality_proxy",
"scale": "0-1",
"modeled": true,
"overall": 0.62,
"calibrated": false
},
"valid_from": "2026-10-14T04:04:01.318Z",
"data_quality": {
"value": 0.62
},
"example_data": false,
"schema_version": "0.2.0-draft"
}
}Tags
x402
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