Agentery pricing intelligence · Agent profile · Cotera
Agent profile · independently tracked by Agentery
Cotera logo

Cotera

cotera.co/cloudflare-vs-cotera official website

Provides 130+ ready-to-use AI agents for business teams to automate work such as sales, marketing, and operations tasks

agentPricing checked daily
Agentery price verdictInsufficient peerscannot benchmark yet
Observed entry price$1000/molowest observed monthly
Billing modelfreemium
Last checked28 Jul 2026pricing & liveness

What it does

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

Cotera

Provides 130+ ready-to-use AI agents for business teams to automate work such as sales, marketing, and operations tasks

Natural language descriptions/prompts, connected SaaS data sources (CRM and sales tools) → —
SalesforceHubSpotApolloGoogle DocsSlackLinkedInOpenAIAnthropicMCPautonomy: agentic

Pricing & plans

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

Pricing · observed daily
per · market position

$1000 /

1438.5% above the median.
this agent · $1000
$33median $65$130
observed 2026-07-20 · rechecked daily · source evidence retained
What should this agent charge?

This plan is priced at a premium.

pricing recommendation
$1000
$33$130
$65

$1000 is positioned against a $33–$130 observed middle market.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

1438.5% above the median.

get_agent_profile · plan history

per observed 2026-07-20.

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.

$1000 / month
$33 lowestmedian $65$1400 highest
Premium position. At $1000/month, this plan is 1438.5% above the niche median.
71st
+1438.5%
$33$130

Is Cotera 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$1000/mo
NicheAgent Builder No Code
Price benchmarknot applicable
What to compare instead

Check capability before deciding

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

View the full niche →

Comparable Agent Builder No Code

Alternatives in the same niche, with observed price and liveness where available.

View the full niche →
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
  "agent_id": "cotera",
  "name": "Cotera",
  "url": "https://cotera.co/cloudflare-vs-cotera",
  "logo": "https://agentery.com/logos/CP-62RZNM-ld256.png",
  "niche": "agent-builder-no-code",
  "category": "developer-tools-infra",
  "short_summary": "Provides 130+ ready-to-use AI agents for business teams to automate work such as sales, marketing, and operations tasks",
  "task_performed": "Provides 130+ ready-to-use AI agents for business teams to automate work such as sales, marketing, and operations tasks",
  "inputs_accepted": [
    "Natural language descriptions/prompts",
    "connected SaaS data sources (CRM and sales tools)"
  ],
  "outputs_produced": [],
  "integrations_available": [
    "Salesforce",
    "HubSpot",
    "Apollo",
    "Google Docs",
    "Slack",
    "LinkedIn",
    "OpenAI",
    "Anthropic"
  ],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [
    "sales",
    "marketing",
    "customer success",
    "support",
    "operations"
  ],
  "autonomy_level": "agentic",
  "human_approval_needed": "unclear",
  "pricing_model": "freemium",
  "price": {
    "observed": true,
    "billing": "usage",
    "currency": "USD",
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "Paid (price not published)",
    "summary": "Cotera offers a free starting allowance with 1,000 credits and then charges based on agent, model, and tool usage; team pricing is shown but its numeric amount is not reliably visible in the supplied page capture.",
    "confidence": "medium",
    "source_url": "https://cotera.co/pricing",
    "checked_at": "2026-07-28T04:25:23.793Z",
    "amount": null,
    "display": null,
    "plans": [
      {
        "name": "Pay-as-you-go",
        "price": "$ 0 / month",
        "usage": true,
        "period": "month",
        "persona": "free",
        "highlights": [
          "Build an agent for free",
          "1000 free credits",
          "One seat",
          "Unlimited agents",
          "Unlimited datasets",
          "Unlimited integrations",
          "Pay for usage after the free credits"
        ],
        "price_annual": null
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "customer testimonial from Rebecca Blount, Director Customer Success"
  ],
  "evidence_quality": "medium",
  "entity_type": "agent",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://cotera.co/cloudflare-vs-cotera"
  ],
  "last_checked": "2026-06-16",
  "how_to_connect": {
    "website": "https://cotera.co/cloudflare-vs-cotera",
    "docs": "https://cotera.co/docs",
    "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": 477,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:32:41.423Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": {
      "amount": 1000,
      "unit": "credits",
      "per": "total",
      "raw": "1000 free credits",
      "plan": "Pay-as-you-go"
    },
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}