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Firecrawl Agent

firecrawl.dev/agent official website

extracts structured data from across the web based on a natural-language prompt describing what data to gather

agentPricing checked daily
Agentery value verdictPriced near the marketfrom $5/mo
Observed entry price$5/molowest observed monthly
Billing modelusage-based
Last checked13 Sept 2026pricing & liveness

What it does

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

Firecrawl Agent

extracts structured data from across the web based on a natural-language prompt describing what data to gather

natural-language prompts, optional schemas (e.g. Pydantic), optional URLs → structured JSON data/datasets and extracted records
APIPython SDKNode.js SDKcURLCLIMCPAPISDKMCPautonomy: agentic

Pricing & plans

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

Pricing · observed daily
per · market position

$5 /

92.3% below the median.
this agent · $5
$33median $65$130
observed 2026-09-01 · rechecked daily · source evidence retained
What should this agent charge?

The current price is deliberately competitive.

pricing recommendation
$5
$33$130
$65

$5 is positioned against a $33–$130 observed middle market.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

92.3% below the median.

get_agent_profile · plan history

per observed 2026-09-01.

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.

$5 / month
$5 lowestmedian $65$195 highest
Competitive value position. At $5/month, this plan is 92.3% below the niche median.
1st
-92.3%
$33$130

Is Firecrawl Agent good value?

How its price compares with genuinely comparable providers.

Priced near the market

Priced near the market for its buyer tier.

Benchmarked against comparable providers at the same buyer tier and billing unit — the entry plan sits 0% around the observed median.

Observed commercial price$5/mo
Position among agent-economy servicesLower-mid priced among Agent-economy services · 20 priced · normal
NicheWeb Scraping Agent
Price benchmarkapplicable
How it compares

Compared with Web Scraping Agent

Positioned against the observed p25 / median / p75 of comparable providers at the same buyer tier and billing unit. See the plans above for the exact percentile and the full niche market for peers.

View the full niche →

Firecrawl Agent's local market

Nearest products by what they do. Local median $17/mo — Firecrawl Agent is 12% above it.

See the full market →
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
  "agent_id": "firecrawl",
  "name": "Firecrawl Agent",
  "url": "https://firecrawl.dev/agent",
  "logo": "https://agentery.com/logos/CP-H6Y6K7-ld256.png",
  "niche": "web-scraping-agent",
  "category": "developer-tools-infra",
  "short_summary": "extracts structured data from across the web based on a natural-language prompt describing what data to gather",
  "task_performed": "extracts structured data from across the web based on a natural-language prompt describing what data to gather",
  "inputs_accepted": [
    "natural-language prompts",
    "optional schemas (e.g. Pydantic)",
    "optional URLs"
  ],
  "outputs_produced": [
    "structured JSON data/datasets and extracted records"
  ],
  "integrations_available": [
    "API",
    "Python SDK",
    "Node.js SDK",
    "cURL",
    "CLI",
    "MCP"
  ],
  "protocols_or_interfaces": [
    "API",
    "SDK",
    "MCP"
  ],
  "industry_fit": [
    "developer tools",
    "general business (lead gen",
    "e-commerce",
    "market data",
    "datasets",
    "real estate",
    "research)"
  ],
  "autonomy_level": "agentic",
  "human_approval_needed": "unclear",
  "pricing_model": "usage-based",
  "price": {
    "observed": true,
    "billing": "freemium",
    "currency": "USD",
    "lowest_monthly_usd": 19,
    "monthly_usd": 19,
    "headline": "Free tier, then from $19/mo",
    "summary": "Free tier, then from $19/mo. Firecrawl offers a free tier with 1,000 monthly credits and a Hobby subscription starting at $19/month, or $16/month billed annually.",
    "confidence": "high",
    "source_url": "https://www.firecrawl.dev/pricing",
    "checked_at": "2026-09-13T03:19:21.576Z",
    "amount": 19,
    "display": "From $19/mo",
    "plans": [
      {
        "name": "Free",
        "price": "0USD",
        "period": "month",
        "persona": "free",
        "highlights": [
          "1,000 credits every month",
          "No credit card required"
        ],
        "price_annual": null
      },
      {
        "name": "Hobby",
        "price": "$19/month",
        "period": "month",
        "persona": "individual",
        "highlights": [
          "5,000 credits per month"
        ],
        "price_annual": "$16/month billed annually"
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "Backed by Y Combinator",
    "SOC II Type 2 (AICPA SOC 2)",
    "133.6K (GitHub/community count)"
  ],
  "evidence_quality": "high",
  "entity_type": "agent",
  "regulated_data_suitability": "possibly suitable (SOC2 stated)",
  "evidence_urls": [
    "https://firecrawl.dev/agent"
  ],
  "last_checked": "2026-06-16",
  "how_to_connect": {
    "website": "https://firecrawl.dev/agent",
    "docs": "https://firecrawl.dev/docs",
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": []
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 1230,
    "uptime_7d": 1,
    "checked_at": "2026-09-13T02:34:28.133Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": {
      "amount": 1000,
      "unit": "credits",
      "per": "total",
      "raw": "1,000 credits",
      "plan": "Free"
    },
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}