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

langwatch.ai official website

tests, evaluates, simulates, and monitors AI agents and LLM applications to prevent regressions and ensure reliability

infrastructurePricing checked daily
Agentery value verdictPremium-pricedfrom $3/mo
Observed entry price$3/molowest observed monthly
Billing modelpaid plans
Last checked1 Sept 2026pricing & liveness

What it does

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

Langwatch

tests, evaluates, simulates, and monitors AI agents and LLM applications to prevent regressions and ensure reliability

production traces, datasets (e.g. golden_set.json), prompts, models, LLM interactions, code/programmatic input → evaluations, simulation results, hallucination/faithfulness scores, observability dashboards, test reports, optimized prompts, datasets/benchmarks
OpenTelemetryPython SDKJS/TS SDKOpenAI agentsLiteLLMDSPyLangGraphLangChainA2ASDKAPIautonomy: infrastructure

Pricing & plans

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

Pricing · observed daily
per gb · market position

$3 /gb

50% above the median. Cheaper than 0 of 4 comparable providers.
this agent · $3
$1median $2$4
observed 2026-09-01 · rechecked daily · source evidence retained
What should this agent charge?

This plan is priced at a premium.

pricing recommendation
$3
$1$4
$2

$3 is positioned against a $1–$4 observed middle market.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

50% above the median.

get_agent_profile · plan history

per gb 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.

$3 / month
$1 lowestmedian $2$6 highest
Premium position. At $3/month, this plan is 50% above the niche median.
40th
+50%
$1$4

Is Langwatch 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 742% above the observed median.

Observed commercial price$3/mo
Position among agent-economy servicesLower-mid priced among Agent-economy services · 36 priced · normal
NicheAgent Observability Eval
Price benchmarkapplicable
How it compares

Compared with Agent Observability Eval

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 →

Langwatch's local market

Nearest products by what they do. Local median $39/mo — Langwatch is 13% below 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": "langwatch",
  "name": "Langwatch",
  "url": "https://langwatch.ai/",
  "logo": "https://agentery.com/logos/CP-5G6WN3-256.png",
  "niche": "agent-observability-eval",
  "category": "developer-tools-infra",
  "short_summary": "tests, evaluates, simulates, and monitors AI agents and LLM applications to prevent regressions and ensure reliability",
  "task_performed": "tests, evaluates, simulates, and monitors AI agents and LLM applications to prevent regressions and ensure reliability",
  "inputs_accepted": [
    "production traces",
    "datasets (e.g. golden_set.json)",
    "prompts",
    "models",
    "LLM interactions",
    "code/programmatic input"
  ],
  "outputs_produced": [
    "evaluations",
    "simulation results",
    "hallucination/faithfulness scores",
    "observability dashboards",
    "test reports",
    "optimized prompts",
    "datasets/benchmarks"
  ],
  "integrations_available": [
    "OpenTelemetry",
    "Python SDK",
    "JS/TS SDK",
    "OpenAI agents",
    "LiteLLM",
    "DSPy",
    "LangGraph",
    "LangChain",
    "Pydantic AI",
    "AWS Bedrock",
    "Agno",
    "CrewAI",
    "API"
  ],
  "protocols_or_interfaces": [
    "A2A",
    "SDK",
    "API"
  ],
  "industry_fit": [
    "developer tools"
  ],
  "autonomy_level": "infrastructure",
  "human_approval_needed": "unclear",
  "pricing_model": "paid plans",
  "price": {
    "observed": true,
    "billing": "freemium",
    "currency": "USD",
    "lowest_monthly_usd": 33.67,
    "monthly_usd": 39.09,
    "headline": "Free tier, then from $33.67/mo",
    "summary": "Free tier, then from $33.67/mo. LangWatch offers a free Developer tier, Growth at €29 per core-seat per month, usage-based event and storage charges, and custom Enterprise pricing.",
    "confidence": "high",
    "source_url": "https://langwatch.ai/pricing",
    "checked_at": "2026-09-01T04:46:16.049Z",
    "amount": 33.67,
    "display": "From $33.67/mo",
    "plans": [
      {
        "name": "Developer",
        "price": "€0 / mo",
        "period": "month",
        "persona": "free",
        "highlights": [
          "Free forever",
          "50k events per month",
          "14-day data access",
          "2 users",
          "3 scenarios, 3 simulations, and 3 custom evals"
        ],
        "price_annual": null
      },
      {
        "name": "Growth",
        "price": "€29 / core-seat / month",
        "period": "month",
        "persona": "team_sme",
        "highlights": [
          "200k events included",
          "Unlimited lite-users",
          "Unlimited simulations, evals, and prompts",
          "Private Slack / Teams support",
          "Additional events at €5 / 100k",
          "Storage beyond 30-day retention at €3 / GB"
        ],
        "price_annual": null
      },
      {
        "name": "Enterprise",
        "price": "Custom",
        "period": null,
        "persona": "enterprise",
        "highlights": [
          "Hybrid, self-hosted, or on-prem",
          "Custom data retention",
          "Custom SSO / RBAC",
          "Audit logs and SLAs",
          "Volume-based event pricing"
        ],
        "price_annual": null
      },
      {
        "name": "Events",
        "price": "€5 / 100k",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "Charged after the first 200k included events"
        ],
        "price_annual": null
      },
      {
        "name": "Storage",
        "price": "€3 / GB",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "Charged for storage beyond the included 30-day retention"
        ],
        "price_annual": null
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "5,6k+ GitHub stars",
    "780k+ monthly installs",
    "900k+ daily evaluations",
    "ISO27001 certified",
    "SOC2 certified",
    "GDPR controlled",
    "1000's of AI developers"
  ],
  "evidence_quality": "high",
  "entity_type": "infrastructure",
  "regulated_data_suitability": "possibly suitable (SOC2 stated, ISO27001 stated, GDPR stated)",
  "evidence_urls": [
    "https://langwatch.ai/",
    "https://langwatch.ai/docs/agent-simulations/introduction",
    "https://langwatch.ai/pricing"
  ],
  "last_checked": "2026-06-16",
  "how_to_connect": {
    "website": "https://langwatch.ai/",
    "docs": "https://langwatch.ai/docs",
    "mcp": null,
    "a2a": {
      "card_url": "https://docs.langwatch.ai/.well-known/agent-card.json"
    },
    "api": null,
    "protocols": [
      "A2A"
    ]
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 268,
    "uptime_7d": 1,
    "checked_at": "2026-09-01T02:36:24.457Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}