Agentery pricing intelligence · Provider profile · Dcl Trust Oracle
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Dcl Trust Oracle
DCL Trust Oracle is a deterministic AI audit layer, natively integrated with the Model Context Protocol (MCP), that evaluates LLM and agent outputs against con…
Agentery price verdictNo pricing observed
Billing model—
Last checked28 Jul 2026pricing & liveness
What it does
The specific capability behind this listing, and where to get it.
DCL Trust Oracle is a deterministic AI audit layer, natively integrated with the Model Context Protocol (MCP), that evaluates LLM and agent outputs against configurable policies before and after action. Every verdict is written to a tamper-evident, hash-chained audit log that stores only cryptographic metadata — never raw content — enabling privacy-first, post-action forensic review. The server exposes Jailbreak detection, Quality and drift evaluation, and baseline Safety checks alongside fast and strict pre-action audit tiers. A companion REST API settles usage via the x402 micropayment protocol on the Base network, letting autonomous agents pay per-call in USDC without any account setup.
MCPMCPautonomy: infrastructure
Official Dcl Trust Oracle 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 Dcl Trust Oracle 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.
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "dcl_trust_oracle",
"name": "Dcl Trust Oracle",
"url": "https://fronesislabs.com/docs",
"logo": null,
"niche": null,
"category": null,
"short_summary": "DCL Trust Oracle is a deterministic AI audit layer, natively integrated with the Model Context Protocol (MCP), that evaluates LLM and agent outputs against con…",
"task_performed": "DCL Trust Oracle is a deterministic AI audit layer, natively integrated with the Model Context Protocol (MCP), that evaluates LLM and agent outputs against configurable policies before and after action. Every verdict is written to a tamper-evident, hash-chained audit log that stores only cryptographic metadata — never raw content — enabling privacy-first, post-action forensic review. The server exposes Jailbreak detection, Quality and drift evaluation, and baseline Safety checks alongside fast and strict pre-action audit tiers. A companion REST API settles usage via the x402 micropayment protocol on the Base network, letting autonomous agents pay per-call in USDC without any account setup.",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [
"MCP"
],
"protocols_or_interfaces": [
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],
"industry_fit": [
"developer tools"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public price found on the vendor site.",
"confidence": "high",
"source_url": "https://fronesislabs.com/docs",
"checked_at": "2026-07-26T08:28:17.082Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "medium",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://fronesislabs.com/docs"
],
"last_checked": "2026-07-25",
"how_to_connect": {
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"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [
"MCP"
],
"note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 592,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:32:58.377Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
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"unit_cost": null
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}