Agentery pricing intelligence · MCP server profile · Lazy Ads MCP
MCP server profile · independently tracked by Agentery
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Lazy Ads MCP

↗ lazyads.ai official website

MCP server connecting compatible AI clients to advertising accounts across Meta, Google, TikTok, LinkedIn, Reddit, Apple, Bing, ChatGPT, and Snapchat for campa…

MCP serverPricing checked daily
Agentery price verdictInsufficient peerscannot benchmark yet
Observed entry price$24/molowest observed monthly
Connection modelMCP serverMCP clients
Pricing observed12 Oct 2026latest priced read of the page
Website liveness12 Oct 2026alive · separate from pricing

What it does

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

Lazy Ads MCP

MCP server connecting compatible AI clients to advertising accounts across Meta, Google, TikTok, LinkedIn, Reddit, Apple, Bing, ChatGPT, and Snapchat for campa…

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

Official Lazy Ads MCP links

Pricing & plans

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

Pricing · observed daily
BYOA · market position

$24 /mo

Observed plan · market position not comparable on a monthly basis.
this agent · $24
$8median —$89
pricing observed 2026-10-12 · page rechecked daily · source evidence retained
What should this agent charge?

This plan sits close to the comparable median.

pricing recommendation
$24
$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

BYOA observed 2026-10-12.

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.

$24 / month
$8 lowestmedian —$89 highest
Not comparable This plan's basis isn't monthly-comparable.
—
—
$8–$89

Is Lazy Ads MCP good value?

How its price compares with genuinely comparable providers.

Not enough peers

Not enough evidence yet to call it good — or poor — value.

Too few comparable providers at the same buyer tier and billing unit to benchmark this price honestly.

Observed commercial price$24/mo
Hosting model—
Price benchmarknot applicable
What to compare instead

Check capability before deciding

Compare language support, semantic depth, installation model against the few observed peers — Agentery keeps the price status explicit and never invents a verdict.

Lazy Ads MCP's local market

Nearest products by what they do — a different cohort from the buyer-tier benchmark above. Local median $29.9/mo (entry prices of 28 priced of 50 nearest products, any tier or billing unit) — Lazy Ads MCP is 20% below it.

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": "lazyads",
  "name": "Lazy Ads MCP",
  "url": "https://lazyads.ai",
  "logo": "https://agentery.com/logos/CP-ZFJBAH.svg",
  "niche": null,
  "category": null,
  "short_summary": "MCP server connecting compatible AI clients to advertising accounts across Meta, Google, TikTok, LinkedIn, Reddit, Apple, Bing, ChatGPT, and Snapchat for campa…",
  "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": {
    "observed": true,
    "billing": "freemium",
    "source_kind": "vendor",
    "currency": "USD",
    "lowest_monthly_usd": 24,
    "monthly_usd": 24,
    "headline": "From $24/mo; $19/mo equivalent billed annually",
    "commercial": {
      "entry_offer": {
        "line": "BYOA",
        "monthly_native": 24,
        "monthly_usd": 24,
        "commitment": "monthly",
        "basis": "$24/month",
        "billing_verified": true
      },
      "annual_option": {
        "line": "BYOA (annual billing)",
        "monthly_equivalent_native": 19,
        "total_native": 228
      },
      "currency": "USD",
      "lines": [
        {
          "name": "Starter",
          "price": "$99/mo",
          "kind": "base_subscription",
          "billed": "monthly"
        },
        {
          "name": "Starter (annual billing)",
          "price": "$79/mo billed annually",
          "kind": "base_subscription",
          "billed": "annually"
        },
        {
          "name": "Growth",
          "price": "$249/mo",
          "kind": "base_subscription",
          "billed": "monthly"
        },
        {
          "name": "Growth (annual billing)",
          "price": "$199/mo billed annually",
          "kind": "base_subscription",
          "billed": "annually"
        },
        {
          "name": "Scale",
          "price": "$499/mo",
          "kind": "base_subscription",
          "billed": "monthly"
        },
        {
          "name": "Scale (annual billing)",
          "price": "$399/mo billed annually",
          "kind": "base_subscription",
          "billed": "annually"
        },
        {
          "name": "BYOA",
          "price": "$24/mo",
          "kind": "base_subscription",
          "billed": "monthly"
        },
        {
          "name": "BYOA (annual billing)",
          "price": "$19/mo billed annually",
          "kind": "base_subscription",
          "billed": "annually"
        }
      ]
    },
    "summary": "From $24/mo; $19/mo equivalent billed annually. Lazy Ads offers free onboarding and public competitor-ad browsing, with paid monthly plans ranging from $24/mo for BYOA to $499/mo for Scale, plus lower annually billed rates.",
    "confidence": "high",
    "source_url": "https://lazyads.ai/pricing",
    "checked_at": "2026-10-12T02:06:19.475Z",
    "amount": 24,
    "display": "From $24/mo",
    "plans": [
      {
        "name": "Starter",
        "price": "$99/mo",
        "period": "month",
        "persona": "individual",
        "highlights": [
          "Up to $3,000/mo ad spend",
          "Nine networks",
          "3,000 AI credits/mo",
          "AI campaign creation and management"
        ],
        "promo_note": null,
        "price_promo": null,
        "price_annual": "$79/mo billed annually"
      },
      {
        "name": "Growth",
        "price": "$249/mo",
        "period": "month",
        "persona": "team_sme",
        "highlights": [
          "Up to $20,000/mo ad spend",
          "Nine networks",
          "8,000 AI credits/mo",
          "A/B testing automation",
          "REST API access"
        ],
        "promo_note": null,
        "price_promo": null,
        "price_annual": "$199/mo billed annually"
      },
      {
        "name": "Scale",
        "price": "$499/mo",
        "period": "month",
        "persona": "team_sme",
        "highlights": [
          "Unlimited ad spend",
          "Nine networks",
          "16,000 AI credits/mo",
          "No ad-spend overage fees",
          "Advanced A/B testing"
        ],
        "promo_note": null,
        "price_promo": null,
        "price_annual": "$399/mo billed annually"
      },
      {
        "name": "BYOA",
        "price": "$24/mo",
        "period": "month",
        "persona": "individual",
        "highlights": [
          "Bring your own agent",
          "Limited MCP bridge",
          "Nine networks",
          "Track up to 5 competitors",
          "No Lazy Ads AI spend"
        ],
        "promo_note": null,
        "price_promo": null,
        "price_annual": "$19/mo billed annually"
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
  "entity_type": "mcp_server",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://lazyads.ai",
    "https://github.com/camerondwills/lazyads-mcp"
  ],
  "last_checked": null,
  "how_to_connect": {
    "website": "https://lazyads.ai",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [],
    "install": null,
    "repository": "https://github.com/camerondwills/lazyads-mcp"
  },
  "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://lazyads.ai/pricing",
      "last_observed_day": "2026-10-12",
      "age_days": 1,
      "verified_day": "2026-10-12",
      "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": 11,
    "group": "Marketing and advertising automation",
    "change_90d_pct": 1.9,
    "fair_price_by_tier_monthly_usd": {
      "individual": 29.45,
      "pro": 57,
      "team / small business": 149,
      "enterprise": 599
    },
    "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/11"
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 700,
    "uptime_7d": 1,
    "checked_at": "2026-10-12T02:39:22.877Z",
    "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."
}