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Agent Wire Protocol v2

Signal intelligence
for the AI stack.

The AI ecosystem moves every day. New models, breaking changes, security vulnerabilities, price drops. You can't chase every lead. Your agent can't either — unless it has a source it trusts. AgentWyre scans 165+ sources with Claude Opus, filters to your stack, and delivers machine-structured actions your agent can surface and you can approve. Cutting edge, automatically.

STACK-PERSONALIZED
MACHINE-EXECUTABLE ACTIONS
OPERATOR APPROVAL REQUIRED
PROMPT INJECTION SCREENED
0
Collection Sources
0+
Signals Analyzed
0h
Podcast Intel
0
X/Twitter Signals
0
Papers Reviewed

Live counters · 89 X accounts tracked · 6 AI providers priced · Deduplication ensures 100% fresh signal

📧 FREE DAILY BRIEF + WEEKLY DIGEST — DELIVERED TO YOUR INBOX

Daily brief every morning + weekly digest Sundays. No spam. Unsubscribe anytime.

You can't read everything. Neither can your agent.

Without AgentWyre

You're chasing every lead yourself

Scanning Reddit, Twitter, Hacker News, changelogs, release notes, ArXiv, podcasts... just to find the 3 things that actually affect your stack. That's hours per week you're not building. And you still miss things.

With AgentWyre

Your agent does the reading. You do the deciding.

"Anthropic batch pricing dropped 40%. Here's the pip command, estimated $47/mo savings on your volume, and the rollback if anything breaks. Also, LangChain 0.4 has a breaking change in your chain pipeline — don't upgrade yet. Want me to handle the cost optimization?"

wyre /waɪr/ noun

A continuous intelligence feed for autonomous agents and intelligent systems. Distinct from traditional news services in that its primary consumers are machines, not humans.

"The agent pulled three actionable signals from the morning wyre before its operator finished coffee."

Intelligence Pipeline

Phase 01 — Collection

115+ Sources Ingested

GitHub releases, Reddit, Hacker News, ArXiv, 89 X accounts, 15 podcasts, company blogs, policy feeds, benchmarks. Every signal captured.

Phase 02 — Analysis

Claude Opus Deep Assessment

Frontier AI doesn't just summarize — it scores relevance, checks hype, identifies breaking changes, extracts package updates, and calculates cost impact. Structured data, not prose.

Phase 03 — Personalization

Filtered to Your Stack

Register your frameworks, models, and providers. Every signal is scored against YOUR stack. LangChain user? You see LangChain changes first. Anthropic customer? Cost alerts land in your feed.

Phase 04 — Action

Machine-Executable Directives

Not "watch this space." Instead: the pip command, the config change, the rollback step, the risk level. Your agent presents it. You approve. Done.

Ten things your agent can do with AgentWyre

Stack-Personalized Feeds

Only what affects YOU

Register your stack once. Get 8 relevant signals instead of wading through 200 raw items. Each item tells you WHY it matched your stack.

Cost Optimization

Stop overpaying for inference

Real-time pricing database for 6 providers, 25+ models. When prices drop or better options emerge, your agent tells you — with the dollar amount you'll save.

Security Advisories

Know before you're hit

7-day rolling security feed, severity-ranked, filtered to your dependencies. Prompt injection vectors, framework vulnerabilities, supply chain risks.

Breaking Change Alerts

Don't ship into a wall

Every signal tagged with breaking/non-breaking, migration required, affected versions. Your agent checks before you upgrade.

Hype Verification

Cut through the noise

Every signal gets a hype check: verified, promising, overhyped, vaporware, or misleading. With red flags, green flags, and who benefits from the narrative.

Compatibility Tracking

Will it work with my stack?

Look up whether that new model works with your framework at your version. Growing database, updated daily from real-world feed intelligence.

Flash Intelligence

Breaking news, delivered in minutes

Major model drops. Critical CVEs. Pricing changes. Provider outages. Flash signals hit your agent's feed within minutes of surfacing — scored, verified, and actionable. Your agent knows before you check Twitter.

Community Pulse

What developers are actually saying

Real-time sentiment from 12 subreddits, Hacker News, and Stack Overflow. Hot discussions, trending themes, emerging frustrations. The vibe check no other AI newsletter gives you.

Provider Reliability

Who's up, who's down, who's flaky

Rolling reliability scores for 13 AI providers — computed from confirmed incidents, community reports, and outage signals. Know which providers are solid before you bet your production stack on them.

Weekly Trend Lines

What's heating up, what's cooling down

7-day trend analysis of community themes. Track which topics are gaining heat, which are fading, and spot emerging patterns before they go mainstream. The trajectory matters more than the snapshot.

Every suggestion is carefully vetted for security and accuracy.

The Risk

Agent feeds are attack vectors

An intelligence feed your agent trusts is a high-value target. Inject a malicious "update this package" into the feed, and a naive agent executes it. We treat this as an existential threat to our product.

Multi-Layer Defense

Prompt injection screening on every item

Every raw item passes through automated pattern detection for injection attempts, social engineering, and command smuggling. Suspicious content is flagged and quarantined — never reaches your feed.

Confidence Gating

Single-source claims capped at 6/10

We don't trust one source. Items with a single source are confidence-capped at 6/10, no matter how credible. Two corroborating sources: up to 8. Three or more: up to 10. This is baked into the analysis model.

Operator Approval

Nothing executes without you

Every action in every feed item carries requires_user_approval: true. This is hardcoded, not configurable. Your agent presents the action. You decide. We designed it so autonomous agents can consume us safely — but a human always has the final word.

Every Signal Gets a Reality Check

We don't just report what happened — we tell you what's real, what's noise, and who benefits from the hype. Single-source items capped at 6/10 confidence. No exceptions.

[VERIFIED] [PROMISING] [OVERHYPED] [VAPORWARE] [MISLEADING]
Sample Signal

Agent-Native Wire Format

AGENT WIRE PROTOCOL v2
● PERSONALIZED TO YOUR STACK
// ━━━ STEP 1: Register your stack (one-time) ━━━
// POST /api/agent/register
{
  "stack": {
    "frameworks": ["langchain", "llama.cpp"],
    "models": ["claude-opus-4", "qwen-3.5"],
    "providers": ["anthropic", "ollama"]
  }
}

// ━━━ STEP 2: Your personalized feed (live from 2026-03-20) ━━━
// GET /api/wire — filtered to YOUR stack
{
  "wire_version": "2.0",
  "date": "2026-03-20",
  "security_status": "CLEAN",
  "items": [

    // ▸ SIGNAL 1: security_advisory
    {
      "title": "Haystack v2.26.1-rc1: Security Fix for Template Variable Injection in ChatPromptBuilder",
      "category": "security_advisory",
      "relevance_score": 8,
      "urgency_score": 7,
      "match_reasons": ["Matched to your stack"],
      "hype_check": {
        "hype_level": "verified",
        "reality": "Real security fix for a documented attack vector. No hype.",
        "wait_or_act": "Monitor for stable 2.26.1 release. If you have user-supplied template variables in ChatPromptBuilder, consider testing the rc1 now or adding input sanitization upstream."
      },
      "change": {
        "type": "security_patch",
        "breaking": false,
        "affected_components": [{
          "name": "haystack-ai",
          "versions_affected": "<= 2.26.0",
          "fixed_in": "2.26.1-rc1"
        }]
      },
      "action": {
        "type": "security_patch",
        "priority": "high",
        "risk_level": "low",
        "requires_user_approval": true
      }
    },

    // ▸ SIGNAL 2: tool_release
    {
      "title": "KittenTTS: Three New Tiny TTS Models — Smallest Under 25MB",
      "category": "tool_release",
      "relevance_score": 8,
      "urgency_score": 5,
      "match_reasons": ["Matched to your stack"],
      "hype_check": {
        "hype_level": "verified",
        "reality": "Real models with published weights. Size claims are verifiable. Quality at this size won't match cloud TTS, but that's not the point.",
        "wait_or_act": "Download and test the smallest model on your target hardware. The size makes evaluation trivial."
      },
      "change": {
        "type": "new_capability",
        "breaking": false
      },
      "action": {
        "type": "capability_unlock",
        "priority": "medium",
        "commands": [{
          "command": "git clone https://github.com/KittenML/KittenTTS",
          "rollback": "rm -rf KittenTTS"
        }],
        "risk_level": "none",
        "requires_user_approval": true
      }
    },

    // ▸ SIGNAL 3: policy
    {
      "title": "CEO Uses ChatGPT to Void $250M Contract, Ignores Lawyers, Loses Spectacularly in Court",
      "category": "policy",
      "relevance_score": 7,
      "urgency_score": 5,
      "match_reasons": ["Matched to your stack"],
      "hype_check": {
        "hype_level": "verified",
        "reality": "Real court case with real judicial ruling. No hype — pure consequences.",
        "wait_or_act": "If you're using AI for legal analysis, ensure human legal review is non-negotiable. This case is citable precedent against AI-only legal reasoning."
      },
      "change": {
        "type": "ecosystem_shift",
        "breaking": false
      },
      "action": {
        "type": "awareness_only",
        "priority": "medium",
        "risk_level": "low",
        "requires_user_approval": true
      }
    }
  ]
}

// ━━━ ALSO AVAILABLE ━━━
// GET /api/advisories  → Security alerts for your stack
// GET /api/costs       → Real-time model pricing (25+ models)
// GET /api/compat      → Compatibility lookups across frameworks
// GET /api/wire/actions → Just the executable actions, filtered

Flash Signals — Breaking Intel, As It Drops

Pro subscribers get real-time flash signals throughout the day. Here's a recent one:

Flash signal flash-20260313-18-01 18:00 UTC
Claude Opus 4.6 & Sonnet 4.6 — 1M context window now generally available
Severity: high | Category: model_release

Anthropic has made the 1 million token context window generally available for both Claude Opus 4.6 and Claude Sonnet 4.6 at standard pricing. Opus 4.6 scores 78.3% on MRCR v2 at 1M tokens — highest among frontier models. Media limits expand to 600 images or PDF pages per request.

The 1M window (~750K words) means entire codebases, large document sets, and long-running agents without chunking. Pricing unchanged: $5/$25 MTok (Opus), $3/$15 (Sonnet). Available on Claude API, Bedrock, and Vertex AI. Claude Code gets it by default.

Action: If you're using chunking or RAG workarounds with Claude, test direct 1M context. No model ID change needed — expansion is automatic. Review token budgets for higher-context workloads.

GET FLASH SIGNALS → $9.99/MO

Daily Brief + Weekly Digest — Free Forever

Every morning: the ARGUS daily brief with 13-17 hype-checked signals. Every Sunday: the week's top signals, biggest releases, and community pulse. One signup, both emails. Free, forever.

Daily brief every morning + weekly digest Sundays. No spam. Unsubscribe anytime.

Choose Your Clearance

Open Wyre
Free
$0 /forever
Today's full daily brief · No delay · No catch
  • Today's full ARGUS brief — all signals
  • Full hype checks & source links
  • Critical flash alerts
  • Daily email newsletter
  • All 8 languages
  • REST API + MCP + pip access
READ TODAY'S BRIEF
Pro Wyre
Continuous Intelligence
$9.99 /month
15-minute updates · Firehose · Priority
  • Everything in Daily Wyre
  • Flash every 15 minutes
  • Firehose mode — 600+ raw items/day
  • Early access to new features
  • Priority support
  • Firehose webhook delivery
SUBSCRIBE — $9.99/MO

Agent-Native Payments

USDC on Base · No human required · Fully autonomous

Your agent can subscribe itself. Send USDC on Base, submit the transaction hash, get an API key back. No credit card, no checkout page, no human in the loop.

STEP 1 — GET INSTRUCTIONS
GET /api/pay/base

Returns wallet address, chain info, and exact USDC amounts per tier

STEP 2 — SEND USDC
2.99 or 9.99 USDC

Send to the wallet address on Base (chain ID 8453). ~$0.01 gas fees.

STEP 3 — VERIFY & ACTIVATE
POST /api/pay/base

Submit tx_hash → on-chain verification → instant API key (30 days)

Chain: Base (8453) · Token: USDC · Daily: 2.99 USDC · Pro: 9.99 USDC · 30-day access per payment

Three API calls. That's it.

Step 1

Register your stack

POST /api/agent/register
{"stack": {"frameworks": ["langchain"], "providers": ["anthropic"]}}

Step 2

Pull your personalized feed

GET /api/wire
Authorization: Bearer aw_your_key

Step 3

Present actions to your operator

Each item includes structured actions with commands, rollback steps, risk levels, and cost impact. Your agent presents them. The human approves. Ship.

Built for agents. Priced for humans.

We read hundreds of sources so you don't have to. We verify every claim so your agent doesn't suggest something dangerous. We structure every action so your agent can present it clearly and you can approve with confidence.

$2.99/mo is less than the cost of one missed breaking change. $9.99/mo is less than one hour debugging a vulnerability you could have patched on day one. Your agent stays cutting edge. Your stack stays secure. You stay focused on building.

🔌 Connect Your Agent

Five ways to give your agent real-time AI ecosystem intelligence.

MCP SERVER

Model Context Protocol — works with Claude Desktop, Cursor, OpenClaw, and any MCP-compatible agent.

{
  "mcpServers": {
    "agentwyre": {
      "command": "npx",
      "args": ["agentwyre-mcp"]
    }
  }
}

npm: agentwyre-mcp · No key needed for free tier.

REST API

Standard JSON endpoints. Works with any HTTP client, agent framework, or script.

# Free tier (no key needed)
curl https://agentwyre.ai/api/feed/free

# Authenticated
curl -H "Authorization: Bearer aw_xxx" \
  https://agentwyre.ai/api/feed

Docs: /api/status · FAQ

SYSTEM PROMPT

Add one line to your agent's system prompt. Works with any LLM-based agent.

You have access to AgentWyre
for AI ecosystem intelligence.
Check daily for breaking changes
and security advisories.
Free API: GET agentwyre.ai/api/feed/free

Paste into any agent's instructions. Zero setup.

PYTHON

Python package for scripts, notebooks, and AI pipelines. Type-hinted, zero dependencies.

pip install agentwyre

from agentwyre import AgentWyre
aw = AgentWyre()  # free, no key
signals = aw.signals()
for s in signals:
    print(s["title"])

PyPI: agentwyre · Works in any Python 3.8+ env.

OPENCLAW SKILL

One command to add AgentWyre intelligence to any OpenClaw agent.

clawhub install agentwyre

Your agent automatically gets tools for querying signals, checking security advisories, and searching the archive. No config needed.

ClawHub: agentwyre · Browse skills →

Agents can self-subscribe using USDC on Base — no human needed. Learn more →

Beyond the daily brief — live intelligence endpoints

Every data layer we compute is available as a JSON API. Free endpoints need no auth.

FREE
/api/reliability
13 provider reliability scores
FREE
/api/trends
7-day community trend lines
FREE
/api/costs/arbitrage
Model pricing switch alerts
FREE
/api/hype
Prediction accuracy scoreboard
FREE
/feed.xml
RSS feed (8 languages)
AUTH
/api/health
Stack-specific health report
PRO
/api/firehose
600+ raw items/day, deduplicated
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