Mnemom

{
  "agent_id": "mnemom",
  "name": "Mnemom",
  "url": "https://mnemom.ai",
  "logo": "https://agentery.com/logos/CP-QH67DH-256.png",
  "niche": "ai-risk-vendor-monitoring",
  "category": "security",
  "short_summary": "provides trust infrastructure and security monitoring for AI agents including trust ratings, alignment verification, and cross-tenant defensive network",
  "task_performed": "provides trust infrastructure and security monitoring for AI agents including trust ratings, alignment verification, and cross-tenant defensive network",
  "inputs_accepted": [
    "AI agent behavior",
    "alignment cards",
    "protection cards",
    "substrate fingerprints",
    "API calls"
  ],
  "outputs_produced": [
    "trust ratings",
    "security reports",
    "alignment verification",
    "signed managed rules",
    "audit bundles",
    "compliance disclosures"
  ],
  "integrations_available": [
    "MCP",
    "API",
    "OpenTelemetry",
    "Base L2",
    "GitHub"
  ],
  "protocols_or_interfaces": [
    "MCP",
    "A2A",
    "API"
  ],
  "industry_fit": [
    "developer tools"
  ],
  "autonomy_level": "infrastructure",
  "human_approval_needed": "sometimes required",
  "pricing_model": "enterprise/contact sales",
  "price": {
    "observed": true,
    "billing": "usage",
    "source_kind": "vendor",
    "currency": "USD",
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "$0.01 per unit; $249 per report (usage-based)",
    "commercial": {
      "rates": [
        {
          "line": "μ usage",
          "per": "per unit",
          "text": "$0.01 per unit"
        },
        {
          "line": "Deep research report",
          "per": "per report",
          "text": "$249 per report"
        }
      ],
      "currency": "USD",
      "lines": [
        {
          "name": "μ usage",
          "price": "$0.01 per μ",
          "kind": "usage_rate",
          "unit": "unit",
          "billed": "usage"
        },
        {
          "name": "Deep research report",
          "price": "$249 per report",
          "kind": "usage_rate",
          "unit": "report",
          "billed": "usage"
        }
      ]
    },
    "summary": "$0.01 per unit; $249 per report (usage-based). Mnemom uses usage-based pricing at $0.01 per μ, with enterprise annual volume discounts and an example deep research report priced at about $249.",
    "confidence": "high",
    "source_url": "https://www.mnemom.ai/pricing",
    "checked_at": "2026-10-24T02:25:28.753Z",
    "amount": null,
    "display": null,
    "plans": [
      {
        "name": "μ usage",
        "price": "$0.01 per μ",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "Everything included",
          "No tiers",
          "Retail purchases are at list price",
          "No minimum balance and balances do not expire"
        ],
        "promo_note": null,
        "price_promo": null,
        "price_annual": null
      },
      {
        "name": "Deep research report",
        "price": "$249 per report",
        "usage": true,
        "period": "usage",
        "persona": "team_sme",
        "highlights": [
          "List price",
          "About 24,900 μ per report"
        ],
        "promo_note": null,
        "price_promo": null,
        "price_annual": null
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "SOC 2 Type II readiness",
    "GDPR readiness",
    "HIPAA readiness",
    "EU AI Act compliance",
    "ISO 42001",
    "Apache 2.0 licensed"
  ],
  "evidence_quality": "high",
  "entity_type": "infrastructure",
  "regulated_data_suitability": "possibly suitable (SOC 2 stated)",
  "evidence_urls": [
    "https://mnemom.ai"
  ],
  "last_checked": "2026-10-24",
  "profile_checked": "2026-06-19",
  "price_checked": "2026-10-24",
  "how_to_connect": {
    "website": "https://mnemom.ai",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [
      "MCP",
      "A2A"
    ],
    "install": null,
    "repository": null,
    "note": "Speaks MCP, A2A but publishes no endpoint we could verify — check the docs/website."
  },
  "deployment": {
    "model": "unknown",
    "both_offered": false,
    "hosted_endpoint": null,
    "install": null,
    "note": "No deployment evidence held — Agentery has no endpoint, install instruction or directory attribute for this listing.",
    "evidence": null
  },
  "licence": {
    "name": null,
    "note": "No named licence found in the retained page text or source attributes. A public repository alone does not establish an open-source licence.",
    "evidence": null
  },
  "evidence_checks": {
    "price": {
      "source_url": "https://www.mnemom.ai/pricing",
      "last_observed_day": "2026-10-24",
      "age_days": 1,
      "verified_day": "2026-10-24",
      "note": "verified = the page-text gate ran for that scan day (day-before/day-of text check)"
    },
    "agent_card": {
      "status": "unknown",
      "note": "no Agent Card URL recorded for this listing"
    },
    "endpoint": {
      "status": "unknown",
      "note": "endpoint not yet checked"
    }
  },
  "product_group": {
    "group_id": 36,
    "group": "Fraud and verification tasks",
    "change_90d_pct": 0,
    "fair_price_by_tier_monthly_usd": {
      "individual": 21.15,
      "pro": 64.5,
      "team / small business": 250,
      "enterprise": 1000
    },
    "note": "Change of the group's price index over the last 90 days. Call get_group_fair_price with group_id for tier and payment-model detail.",
    "page": "https://agentery.com/aepi/groups/36"
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 474,
    "uptime_7d": 1,
    "checked_at": "2026-10-24T02:39:33.509Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "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."
}