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edward Guard

pypi.org/project/edward-guard official website

An external control plane for AI coding agents that monitors event streams, tracks cross-turn state, applies deterministic safety rules and semantic scoring, a…

agent platform
Agentery price verdictNo pricing observed
Billing model
Last observationpricing pages rechecked daily

What it does

The specific capability behind this listing, and where to get it.

edward Guard

An external control plane for AI coding agents that monitors event streams, tracks cross-turn state, applies deterministic safety rules and semantic scoring, a…

Agentery has not yet captured structured capability detail for this provider.

Official edward Guard links

Price status · observed daily

No public commercial pricing observed.

No price does not imply the product is free. Any code-host platform pricing is excluded.

Is edward Guard good value?

Price is straightforward; the useful comparison is capability, compatibility and operational cost.

No price benchmark

No public commercial pricing observed.

Agentery has not observed a public price for this provider. No price does not mean free.

Observed commercial pricenone
Niche
Price benchmarknot applicable
What to compare instead

Check capability before deciding

Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.

edward Guard's local market

Nearest products by what they do — a different cohort from the buyer-tier benchmark above.

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See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
  "agent_id": "edward_guard",
  "name": "edward Guard",
  "url": "https://pypi.org/project/edward-guard/",
  "logo": "https://www.google.com/s2/favicons?domain=pypi.org&sz=128",
  "niche": null,
  "category": null,
  "short_summary": "An external control plane for AI coding agents that monitors event streams, tracks cross-turn state, applies deterministic safety rules and semantic scoring, a…",
  "task_performed": "unclear",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [],
  "protocols_or_interfaces": [],
  "industry_fit": [],
  "autonomy_level": "unclear",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": null,
  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
  "entity_type": "agent_platform",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://pypi.org/project/edward-guard/"
  ],
  "last_checked": null,
  "how_to_connect": {
    "website": "https://pypi.org/project/edward-guard/",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": []
  },
  "liveness": {
    "probed": false,
    "alive": null,
    "endpoint_kind": null,
    "latency_ms": null,
    "uptime_7d": null,
    "checked_at": null,
    "consecutive_failures": 0,
    "status": "unknown"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}