Agentery pricing intelligence · Provider profile · Mnemom
Provider profile · independently tracked by Agentery
Mnemom logo

Mnemom

↗ mnemom.ai official website

provides trust infrastructure and security monitoring for AI agents including trust ratings, alignment verification, and cross-tenant defensive network

infrastructurePricing checked daily
Agentery value verdictBelow the comparable medianfrom $0.01/mo
Observed entry price$0.01/molowest observed monthly
Billing modelenterprise/contact sales
Pricing observed7 Oct 2026latest priced read of the page
Website liveness7 Oct 2026alive · separate from pricing

What it does

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

Mnemom

provides trust infrastructure and security monitoring for AI agents including trust ratings, alignment verification, and cross-tenant defensive network

AI agent behavior, alignment cards, protection cards, substrate fingerprints, API calls → trust ratings, security reports, alignment verification, signed managed rules, audit bundles, compliance disclosures
MCPAPIOpenTelemetryBase L2GitHubMCPAPIautonomy: infrastructure

Pricing & plans

Observed public pricing for Mnemom, benchmarked against comparable providers. Plans, tiers, history and scenario below.

Pricing · observed daily
per · market position

$0.01 /

Observed plan · market position not comparable on a monthly basis.
this agent · $0.01
$8median —$89
pricing observed 2026-10-07 · page rechecked daily · source evidence retained
What should this agent charge?

This plan sits close to the comparable median.

pricing recommendation
$0.01
$8–$89
—

No monthly-comparable cohort to benchmark this plan against yet.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

Not monthly-comparable.

get_provider_profile · plan history

per observed 2026-10-07.

pricing recommendation

Percentile unavailable for this basis.

confidence

Source page rechecked daily.

Interactive provider scenario

Test a different price for this plan.

Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.

$0.01 / month
$1 lowestmedian —$89 highest
Not comparable This plan's basis isn't monthly-comparable.
—
—
$8–$89

Is Mnemom good value?

How its price compares with genuinely comparable providers.

Below the comparable median

Below the comparable median for its buyer tier.

Basis: Team flat plans at the same billing unit (2 providers), USD monthly, pricing observed 2026-08-12. The Team plan ($79/mo) sits 89.6% below that median of $759.97. Thin evidence: fewer than five comparable providers, so treat the position as indicative. Other cohorts on this page (niche-wide tier peers, nearest products by capability) are labelled where they appear.

Observed commercial price$0.01/mo
NicheAI Risk Vendor Monitoring
Price benchmarkapplicable
How it compares

Compared with AI Risk Vendor Monitoring

Positioned against the observed p25 / median / p75 of comparable providers at the same buyer tier and billing unit (the basis is stated with each verdict above). See the plans above for the percentile and its cohort size, and the full niche market for peers.

View the full niche →

Mnemom's local market

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

See the full market →
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": "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",
    "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": "2026-10-07T03:22:57.598Z",
    "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": "2026-06-19",
  "how_to_connect": {
    "website": "https://mnemom.ai",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [
      "MCP"
    ],
    "install": null,
    "repository": null,
    "note": "Speaks MCP 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": "2026-10-07",
      "age_days": 0,
      "verified_day": "2026-10-07",
      "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"
    }
  },
  "price_history_available": "Pass price_history:true for this provider's dated plan prices (observation dates, original currency).",
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 440,
    "uptime_7d": 1,
    "checked_at": "2026-10-07T02:42:17.046Z",
    "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."
}