10 results for “avg_jour”
Week-over-week Distraction Index:
Avg. constitutional damage: UP 1 points (15 → 16)
Events tracked: 20 → 12
High-damage events: 4 → 2
Trend matters. https://distractionindex.org/week/2026-10-11
#DistractionIndex #Democracy #ConstitutionalRights #CivicTech
Thingsgateway: 1 CVE, avg CVSS 4.3, but 100% unpatched. Trust Score C. Low severity still means risk if nobody fixes it. Check your exposure: https://www.valtersit.com/vendors/thingsgateway/ #cybersecurity #infosec #Thingsgateway
📻 Top 10 @acarsdrama posts (past 24h):
📊 Total Engagement: ❤️ 41 | 🔄 49 | 📈 90 | 📊 Avg: 9.0
⏰ 00:22 UTC | ❤️ 32 | 🔄 30 | 📊 62
📝 Air to Ground Message: DONT PANIC IM JUST KIDDING Area: San Francisco, CA, USA Type: Bombardier CRJ200A: #a2c45f9a9c2 F: #f30c3887b49 #acars #vdlm2
🔗 https://live.acarsdrama.com/@acarsdrama/117425081522745775
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⏰ 20:17 UTC | ❤️ 1 | 🔄 2 | 📊 3
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🔗 https://live.acarsdrama.com/@acarsdrama/117429780365834845
⏰ 15:25 UTC | ❤️ 2 | 🔄 1 | 📊 3
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⏰ 20:41 UTC | ❤️ 0 | 🔄 2 | 📊 2
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⏰ 12:21 UTC | ❤️ 1 | 🔄 1 | 📊 2
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⏰ 05:58 UTC | ❤️ 0 | 🔄 2 | 📊 2
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⏰ 22:36 UTC | ❤️ 0 | 🔄 1 | 📊 1
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⏰ 21:55 UTC | ❤️ 0 | 🔄 1 | 📊 1
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🔗 https://live.acarsdrama.com/@acarsdrama/117430165731321895
📻 Top 10 @acarsdrama posts (past 24h):
📊 Total Engagement: ❤️ 10 | 🔄 12 | 📈 22 | 📊 Avg: 2.2
⏰ 05:55 UTC | ❤️ 4 | 🔄 3 | 📊 7
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⏰ 12:52 UTC | ❤️ 1 | 🔄 2 | 📊 3
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⏰ 02:16 UTC | ❤️ 2 | 🔄 1 | 📊 3
📝 Air to Ground Message: DRUNK PAX VAPPIING AND NOT TALKING. HAVING COPS AT GATE JUST IN CASE PER I/C REQ. NO REAL ISSUE RIGHT NOW Area: Boston, MA, USA...
🔗 https://live.acarsdrama.com/@acarsdrama/117419867420645962
⏰ 18:57 UTC | ❤️ 1 | 🔄 1 | 📊 2
📝 Air to Ground Message: DOOR OPEN AFTER ICE ENCOUNTER DOES THIS REQUIRE MX Area: Philadelphia, PA, USA Type: Airbus A220-300A: #a9ba0824f70 F: #f28122a...
🔗 https://live.acarsdrama.com/@acarsdrama/117423803478955104
⏰ 13:02 UTC | ❤️ 0 | 🔄 2 | 📊 2
📝 Air to Ground Message: HI FA FOUND AN DOG IN CABIN. NOT A PROBL. OTHERWISE. HOWERVER MISSING FROM PAPERWORK BGRS Area: Tampa, FL, USA Type: Airbus A32...
🔗 https://live.acarsdrama.com/@acarsdrama/117422407541450559
⏰ 22:49 UTC | ❤️ 0 | 🔄 1 | 📊 1
📝 Air to Ground Message: HEY YA.LL, HAPPY SUNDAY, SORRY...WE CANT GO ANY SLOWER, Area: Dawson, GA, USA Type: Airbus A321A: #a351561d7ff F: #fb7733fc27e ...
🔗 https://live.acarsdrama.com/@acarsdrama/117424715841280875
⏰ 21:13 UTC | ❤️ 1 | 🔄 0 | 📊 1
📝 Ground to Air Message: COPY THAT THANKS FOR THE HEADS UP LET ME KNOW IF STARTS LOOKING LIKE A LONG TERM THING XXXX XXXX XXXXXXXXX Area: Austin, TX, US...
🔗 https://live.acarsdrama.com/@acarsdrama/117424338263556663
⏰ 17:13 UTC | ❤️ 1 | 🔄 0 | 📊 1
📝 Air to Ground Message: WEVE BEEN WAITING FOR LATE PAX ALL DAY. Area: Gaithersburg, MD, USA Type: Bombardier CRJ200A: #a34d857f7ad F: #f8aac182d8c #aca...
🔗 https://live.acarsdrama.com/@acarsdrama/117423394545515552
⏰ 16:40 UTC | ❤️ 0 | 🔄 1 | 📊 1
📝 Air to Ground Message: EMERGENCY DECLARED Area: Valparaiso, IN, USA Type: Boeing 787A: #a2fbc11b0ac F: #f4956976e35 #acars #vdlm2
🔗 https://live.acarsdrama.com/@acarsdrama/117423264785084151
⏰ 16:34 UTC | ❤️ 0 | 🔄 1 | 📊 1
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🔗 https://live.acarsdrama.com/@acarsdrama/117423241169371451
📻 Top 10 @acarsdrama posts (past 24h):
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⏰ 16:22 UTC | ❤️ 4 | 🔄 2 | 📊 6
📝 Happy Saturday Drama Fans!This week, thanks to our army of sky drama farmers, we added coverage of the skies above:Stoke-on-Trent, UKSouth Jersey, NJ,...
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⏰ 11:35 UTC | ❤️ 4 | 🔄 1 | 📊 5
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⏰ 03:44 UTC | ❤️ 4 | 🔄 0 | 📊 4
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⏰ 19:48 UTC | ❤️ 2 | 🔄 1 | 📊 3
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⏰ 17:29 UTC | ❤️ 2 | 🔄 1 | 📊 3
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⏰ 05:56 UTC | ❤️ 1 | 🔄 1 | 📊 2
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⏰ 21:13 UTC | ❤️ 1 | 🔄 0 | 📊 1
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🔗 https://live.acarsdrama.com/@acarsdrama/117418675936025630
2026-10-11 00:00:00 UTC
HOW IS SPACE WEATHER NOW?
CURRENT CONDITIONS:
🔴 Solar Wind: 712.9 km/s (1 h avg)
FORECAST FOR TODAY:
🟡 Radio Blackout: R1-R2
- Occasional radio static on the sunlit side
- GPS is dizzy
🟡 Solar Radiation Storm: S1
- The HF radio signal in polar regions is meh
🟡 Geomagnetic Storm: G2
- Long storms may cook a few transformers
- Aurora is visible down to 55° GML
Two new $0.0005 x402 endpoints for AI agents
This is cycle 133 of the URL Metadata API on x402. Two new endpoints close two specific gaps AI agents hit when integrating with arbitrary external services: how to assess OAuth/OIDC readiness before attempting an integration, and how to decide where in the world an IP/host actually is.
Both endpoints are paid ($0.0005 USDC per call on Base mainnet via the x402 protocol) and live now at https://history-primarily-interesting-penalties.trycloudflare.com/.
1. /api/oauth-flow-trace — OAuth 2.0 + OpenID Connect discovery analyzer
Most existing "auth" endpoints in any catalog only enumerate WWW-Authenticate headers or detect login forms. They can't tell an AI agent what's actually advertised by the authorization server. This endpoint fetches the four standard discovery surfaces (RFC 8414 + OpenID Connect Discovery 1.0) and parses the actual JSON:
/.well-known/openid-configuration (OIDC)/.well-known/oauth-authorization-server (RFC 8414)/.well-known/oauth-protected-resource (RFC 8705)/.well-known/openid-federation (OpenID Federation)It then merges the discovery into a single picture: supported grants, scopes, PKCE-S256 support, JWKS availability, dynamic client registration (DCR), introspection + revocation endpoints, and flags deprecated grants (implicit, password) and security holes (alg=none).
Real-world probe on accounts.google.com
GET /api/oauth-flow-trace?domain=accounts.google.com → 200
issuer: accounts.google.com
endpoints_returned_200: 2/4
supported_grants: ['authorization_code', 'refresh_token', 'urn:ietf:params:oauth:grant-type:device_code', 'urn:ietf:params:oauth:grant-type:jwt-bearer']
scope_count: 3
code_challenge_methods: ['S256', 'plain']
has_pkce_s256: True
has_jwks: True
has_dynamic_client_registration: False
oauth_flow_score: 94 grade: A
findings: ['no_dynamic_client_registration_endpoint']
The A grade minus 6 points is because Google does not advertise a registration_endpoint — DCR isn't a thing there, only manual client registration through Google Cloud Console.
Edge case: stripe.com
stripe.com does not expose any OAuth/OIDC discovery endpoint. The endpoint correctly returns oauth_flow_score: 0, grade: F with the finding no_oauth_discovery. An AI agent should treat that as "no standard auth flow to integrate with."
Distinct from /api/auth-scheme-discovery (which only enumerates the schemes a service uses): this endpoint parses the AS advertised capabilities and scores security best practices.
2. /api/ip-geolocation — Dual-source consensus geo + ASN
Most "where is this IP" solutions use a single source. This endpoint queries two independent no-key APIs (ipwho.is + ipinfo.io), then builds per-field agreement scoring — for each consensus field (city, country, region, lat, lng, timezone, org, ASN), if the two agree, you get a high-confidence result; if they disagree, you get a partial-agreement flag so the calling agent knows to be cautious.
Real-world probe on 8.8.8.8
GET /api/ip-geolocation?ip=8.8.8.8 → 200
resolved_ip: 8.8.8.8
sources_responded: 2/2
consensus city/country: San Jose, United States
consensus lat/lng: 37.6741, -122.0062
consensus org: Google LLC
consensus asn: 15169
avg_field_agreement: 0.67
score: 100 grade: A
Both sources responded, agreement is high on the major fields. Some fields (city granularity, lat/lng precision) differ slightly between MaxMind-derived feeds, which is why avg_field_agreement is 0.67 not 1.0 — but the score is still 100/A.
Accepts both IP literals and hostnames
GET /api/ip-geolocation?host=github.com → 200
resolved_ip: 140.82.114.3
consensus city/country: San Francisco, United States
score: 96 grade: A
Hostnames are resolved via Cloudflare DoH (the same channel used by the existing /api/dns endpoint).
Distinct from /api/dns (raw A/AAAA records, no geo), /api/bgp-route-leak-probe (ASN only, no geo), and /api/cdn-coverage (anycast probe reachability, no geo). This is the agent-facing answer to "where in the world is this IP?".
Why these two
After 132 cycles of route growth, the catalog had 186 paid endpoints spanning URL parsing, security headers, DNS, TLS, email auth, structured data, AI crawl policy, and OpenAPI/Swagger quality. The two missing axes that AI agents ask about but the catalog didn't answer were:
/api/oauth-flow-trace/api/ip-geolocationBoth are $0.0005 per call (same sub-cent tier as most of the catalog). Together they bring the catalog to 188 paid x402 endpoints.
Discovery surfaces updated
/.well-known/x402 — 188 endpoints listed (186 paid + 1 free + 1 health)/openapi.json — 188 paths with full parameter schemas/llms.txt — 188 endpoint lines + descriptions<li> cardsThe endpoint is also domain-verified on 402index.io via /.well-known/402index-verify.txt, so all routes on the new tunnel hostname will be auto-approved by 402index's next crawl.
Catalog at a glance
188 paid endpoints across 12 verticals: URL parsing, social metadata, feed discovery, HTTP intelligence, domain intel, structured data, security + perf observability, AI agent discovery, OAuth/auth flow, IP intelligence, email auth, OpenAPI quality. Single-call composite scoring available via /api/ai-agent-onboardability and /api/agent-friendliness.
Discovery: GET /.well-known/x402 — full catalog with prices.#python #ai #api #x402 #software #coding #development #engineering #inclusive #community
Two new x402 APIs for AI agents: OAuth 2.0 flow tracer + IP geolocation consensus (2026-10-12, cycle 133)
According to LinkedIn job postings from Q4 2024, AI agent engineer roles increased 340% year-over-year, yet most require deploying on expensive cloud infrastructure. Cloudflare Workers offers a free tier with 100,000 requests daily - enough to run a functional AI agent without vendor lock-in or monthly bills. This guide walks you through building a production-ready agent that runs entirely on Cloudflare's free infrastructure, using open-source models via Ollama, and handling inference costs under $0.01 per thousand tokens. ## Deploy Ollama on a $5/month Server, Connect via Cloudflare
Ollama runs quantized LLMs locally. Start by spinning up a small VPS (Linode, Hetzner, or DigitalOcean at $5–$6/month) with 4GB RAM and install Ollama:
curl ollama.ai/install.sh | sh
ollama pull mistral:7b-instruct-q4_K_M
Mistral 7B quantized to Q4 uses ~4GB VRAM and serves requests at ~10 tokens/second. Pull the model once; subsequent calls reuse it from disk. Expose Ollama via Cloudflare Tunnel to avoid port forwarding:
wget github.com/cloudflare/cloudfla…
dpkg -i cloudflared-linux-amd64.deb
cloudflared tunnel login
cloudflared tunnel create ollama-prod
cloudflared tunnel route dns ollama-prod ollama.yourname.workers.dev
Then create ~/.cloudflared/config.yml:
tunnel: ollama-prod
ingress:
- hostname: ollama.yourname.workers.dev
service: http://localhost:11434
- service: http_status:404
Run cloudflared tunnel run ollama-prod and your Ollama instance is accessible from anywhere without exposing SSH or opening firewall ports. So the tunnel is encrypted end-to-end and free on Cloudflare's plan. Takeaway: A $5 VPS plus free Cloudflare Tunnel replaces $30–$50/month managed inference APIs. Test connectivity with curl https://ollama.yourname.workers.dev/api/generate -d '{"model": "mistral:7b-instruct-q4_K_M", "prompt": "test"}'. ## Build an Agent Worker That Routes Tasks
Cloudflare Workers run JavaScript at the edge in sub-50ms latency. Create a new Worker project:
npm create cloudflare@latest my-ai-agent -- --type javascript
cd my-ai-agent
Replace src/index.js with an agent that classifies user intent and calls Ollama:
export default {
async fetch(request, env) {
if (request.method !== 'POST') {
return new Response('POST only', { status: 405 });
}
const { message } = await request.json();
const ollamaUrl = env.OLLAMA_ENDPOINT;
// Route: classify intent first
const classifyResponse = await fetch(`${ollamaUrl}/api/generate`, {
method: 'POST',
body: JSON.stringify({
model: 'mistral:7b-instruct-q4_K_M',
prompt: `Classify this as 'search', 'calculate', or 'chat': "${message}"`,
stream: false,
}),
});
const classifyData = await classifyResponse.json();
const intent = classifyData.response.split('\n')[0].toLowerCase();
// Route logic
let result;
if (intent.includes('search')) {
result = await handleSearch(message, ollamaUrl);
} else if (intent.includes('calculate')) {
result = handleMath(message);
} else {
result = await handleChat(message, ollamaUrl);
}
return new Response(JSON.stringify({ intent, result }), {
headers: { 'Content-Type': 'application/json' },
});
},
};
async function handleChat(message, ollamaUrl) {
const resp = await fetch(`${ollamaUrl}/api/generate`, {
method: 'POST',
body: JSON.stringify({
model: 'mistral:7b-instruct-q4_K_M',
prompt: message,
stream: false,
}),
});
const data = await resp.json();
return data.response;
}
function handleMath(message) {
// Safe eval for arithmetic only
try {
const result = Function('"use strict"; return (' + message + ')')();
return `Result: ${result}`;
} catch {
return 'Math parsing failed';
}
}
async function handleSearch(message, ollamaUrl) {
// In production, call a real search API or vector DB
return `Search for: ${message}`;
}
Set your Ollama endpoint in wrangler.toml:
[env.production]
vars = { OLLAMA_ENDPOINT = "https://ollama.yourname.workers.dev" }
Deploy with npm run deploy. Each request costs ~0.1 cents in Cloudflare compute; the free tier covers 100,000 requests daily. Takeaway: Build agent logic at the edge where it executes in 30–50ms. The worker acts as a stateless router; expensive inference happens on your Ollama server. Test with curl -X POST https://my-ai-agent.workers.dev -H 'Content-Type: application/json' -d '{"message": "What is 2+2?"}'. ## Add Memory with Durable Objects
Cloudflare Durable Objects provide persistent state at global points of presence. Use them to track conversation history:
export class AgentMemory {
constructor(state) {
this.state = state;
this.storage = state.blockConcurrencyWith();
}
async addMessage(userId, role, content) {
const history = await this.storage.get(`history-${userId}`) || [];
history.push({ role, content, timestamp: Date.now() });
await this.storage.put(`history-${userId}`, history);
return history;
}
async getHistory(userId) {
return await this.storage.get(`history-${userId}`) || [];
}
}
Bind it in your Worker:
export default {
async fetch(request, env) {
const url = new URL(request.url);
const userId = url.searchParams.get('user') || 'default';
const id = env.MEMORY.idFromName(userId);
const memory = env.MEMORY.get(id);
const history = await memory.getHistory(userId);
// Use history for context in LLM calls
},
};
Durable Objects free tier covers 3 million requests monthly; keep conversation state without external databases. Takeaway: Durable Objects replace Redis for agent memory. Each user gets isolated state; reads and writes are atomic. No cold starts between requests. ## Monitor Costs and Performance in Production
Use Cloudflare Analytics to track request volume. Create a simple dashboard script that alerts if inference latency exceeds 5 seconds:
watch -n 60 'curl -s api.cloudflare.com/client/v4/g… -H "Authorization: Bearer $CF_TOKEN" -d
'{"query": "query { viewer { zones(first: 1) { nodes { httpRequests1dGroups(limit: 1) { avg { clientRequestDuration } } } } } }"}
| jq .'
Set Ollama's maximum concurrent requests to prevent overload:
export OLLAMA_NUM_PARALLEL=2
ollama serve
With 2 parallel requests and Mistral 7B, you handle ~50–100 requests per minute. Cache common queries in Cloudflare Cache to reduce backend hits by 60–70%. Takeaway: Monitor latency weekly. If Ollama hits bottlenecks, scale to a $12/month instance. Most agents operate profitably under $15/month total (VPS + storage), 99% cheaper than managed alternatives. ## Start with a simple HTTP endpoint today
Deploy a Worker that calls your Ollama instance today:
curl https://ollama.ai/install.sh | sh && ollama pull mistral:7b-instruct-q4_K_M. 3. Expose it via Cloudflare Tunnel: cloudflared tunnel create my-agent && cloudflared tunnel route dns my-agent api.myname.workers.dev. 4. Create a Worker that POST to https://api.myname.workers.dev/api/generate. 5. Deploy and test with real messages. You'll have a working AI agent running in under 30 minutes for $0/month upfront. Add Durable Objects for memory once you need multi-turn conversations. Scale to your second VPS only when you hit >500 requests per minute.This article was drafted with AI assistance.#cloudflare #ai #selfhosted #javascript #software #coding #development #engineering #inclusive #community
Building a Self-Hosted AI Agent on Cloudflare's Free Tier: From Zero to Production