Agentery pricing intelligence · Provider profile · Nango
Provider profile · independently tracked by Agentery
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Nango

nango.dev/blog/best-agentic-api-integrations-platform official website

provides a platform where coding agents build API integrations and AI agents consume them at runtime, including managed authentication, data syncs, and observa…

infrastructurePricing checked daily
Agentery value verdictPremium-pricedfrom $0/mo
Observed entry price$0/molowest observed monthly
Billing modelunclear
Last checked28 Jul 2026pricing & liveness

What it does

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

provides a platform where coding agents build API integrations and AI agents consume them at runtime, including managed authentication, data syncs, and observability

prompts from engineers or agents, API docs, external API credentials (OAuth, API keys, JWT, basic auth), real connection data → API integrations as code, typed tool calls, MCP servers, webhook triggers, data syncs, request/response logs
MCPClaude CodeCursorCodexGemini CLIGitHub CopilotOpenCodeSlackMCPwebhooksautonomy: infrastructure

Pricing & plans

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

Pricing · observed daily
per · market position

$0.00 /

100% below the median.
this agent · $0.00
$25median $50$100
observed 2026-07-28 · rechecked daily · source evidence retained
What should this agent charge?

The current price is deliberately competitive.

pricing recommendation
$0.00
$25$100
$50

$0.00 is positioned against a $25–$100 observed middle market.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

100% below the median.

get_agent_profile · plan history

per observed 2026-07-28.

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.

$2e-7 / month
$1 lowestmedian $50$150 highest
Competitive value position. At $2e-7/month, this plan is 100% below the niche median.
1st
-100%
$25$100

Is Nango good value?

How its price compares with genuinely comparable providers.

Premium-priced

Premium-priced for its buyer tier.

Benchmarked against comparable providers at the same buyer tier and billing unit — the entry plan sits 1150% above the observed median.

Observed commercial price$2e-7/mo
NicheAI Agent Integration Platform
Price benchmarkapplicable
How it compares

Compared with AI Agent Integration Platform

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 →

Comparable AI Agent Integration Platform

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": "nango",
  "name": "Nango",
  "url": "https://nango.dev/blog/best-agentic-api-integrations-platform",
  "logo": "https://agentery.com/logos/CP-W7T7Q6-128.png",
  "niche": "ai-agent-integration-platform",
  "category": "developer-tools-infra",
  "short_summary": "provides a platform where coding agents build API integrations and AI agents consume them at runtime, including managed authentication, data syncs, and observa…",
  "task_performed": "provides a platform where coding agents build API integrations and AI agents consume them at runtime, including managed authentication, data syncs, and observability",
  "inputs_accepted": [
    "prompts from engineers or agents",
    "API docs",
    "external API credentials (OAuth",
    "API keys",
    "JWT",
    "basic auth)",
    "real connection data"
  ],
  "outputs_produced": [
    "API integrations as code",
    "typed tool calls",
    "MCP servers",
    "webhook triggers",
    "data syncs",
    "request/response logs"
  ],
  "integrations_available": [
    "MCP",
    "Claude Code",
    "Cursor",
    "Codex",
    "Gemini CLI",
    "GitHub Copilot",
    "OpenCode",
    "Slack",
    "Gmail",
    "Linear",
    "CRM",
    "OAuth",
    "webhooks",
    "OpenTelemetry",
    "800+ APIs"
  ],
  "protocols_or_interfaces": [
    "MCP",
    "webhooks"
  ],
  "industry_fit": [
    "developer tools"
  ],
  "autonomy_level": "infrastructure",
  "human_approval_needed": "sometimes required",
  "pricing_model": "unclear",
  "price": {
    "observed": true,
    "billing": "subscription",
    "currency": "USD",
    "lowest_monthly_usd": 50,
    "monthly_usd": 50,
    "headline": "From $50/mo",
    "summary": "From $50/mo. Public pricing shows monthly tiers of $0/mo, $50/mo, and $500/mo, plus usage-based charges for connections, requests, compute time, runs, logs, records, and webhooks.",
    "confidence": "medium",
    "source_url": "https://nango.dev/pricing",
    "checked_at": "2026-07-28T05:27:57.081Z",
    "amount": 50,
    "display": "From $50/mo",
    "plans": [
      {
        "name": "Monthly plan",
        "price": "$0/mo",
        "period": "month",
        "persona": "free",
        "highlights": []
      },
      {
        "name": "Monthly plan",
        "price": "$50/mo",
        "period": "month",
        "persona": "pro",
        "highlights": []
      },
      {
        "name": "Monthly plan",
        "price": "$500/mo",
        "period": "month",
        "persona": "enterprise",
        "highlights": []
      },
      {
        "name": "Usage pricing",
        "price": "$1/connection",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "Applies after included connection quantities"
        ]
      },
      {
        "name": "Usage pricing",
        "price": "$0.0001/request",
        "usage": true,
        "period": "usage",
        "persona": "free",
        "highlights": [
          "Request volume discounts"
        ]
      },
      {
        "name": "Usage pricing",
        "price": "$0.0000002/ms",
        "usage": true,
        "period": "usage",
        "persona": "free",
        "highlights": []
      },
      {
        "name": "Usage pricing",
        "price": "$0.0001/run",
        "usage": true,
        "period": "usage",
        "persona": "free",
        "highlights": []
      },
      {
        "name": "Usage pricing",
        "price": "$0.00001/log",
        "usage": true,
        "period": "usage",
        "persona": "free",
        "highlights": []
      },
      {
        "name": "Usage pricing",
        "price": "$0.0001/record",
        "usage": true,
        "period": "usage",
        "persona": "free",
        "highlights": []
      },
      {
        "name": "Usage pricing",
        "price": "$0.0001/webhook",
        "usage": true,
        "period": "usage",
        "persona": "free",
        "highlights": []
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "customers page referenced",
    "open-source",
    "800+ APIs supported"
  ],
  "evidence_quality": "high",
  "entity_type": "infrastructure",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://nango.dev/blog/best-agentic-api-integrations-platform",
    "https://nango.dev/"
  ],
  "last_checked": "2026-06-16",
  "how_to_connect": {
    "website": "https://nango.dev/blog/best-agentic-api-integrations-platform",
    "docs": "https://nango.dev/docs",
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": []
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 1326,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:36:13.326Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": {
      "usdPerUnit": 0.0001,
      "unit": "requests",
      "usdPer1k": 0.1,
      "raw": "$0.0001/request",
      "plan": "Usage pricing"
    }
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}