Agentery pricing intelligence · Provider profile · Databutler Stats
Provider profile · independently tracked by Agentery
DS
Databutler Stats
Exact statistics and probability for AI agents — use instead of computing these in your head, where language models are unreliable. Distributions (normal/t/chi…
Agentery price verdictNo pricing observed
Billing model—
Last checked2 Sept 2026pricing & liveness
What it does
The specific capability behind this listing, and where to get it.
Exact statistics and probability for AI agents — use instead of computing these in your head, where language models are unreliable. Distributions (normal/t/chi2/binomial/poisson pdf-cdf-quantile), hypothesis tests (t, z, proportion, chi-square, with p-value + assumptions), confidence intervals, discrete Bayesian updates, and linear regression. Numerical core validated against reference tables. Free, no auth. From databutler.dev.
MCPLinearMCPautonomy: infrastructure
Official Databutler Stats links
Price status · observed daily
No public commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is Databutler Stats good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
No price benchmark
No public commercial pricing observed.
Agentery has not observed a public price for this provider. No price does not mean free.
Observed commercial pricenone
Niche—
Price benchmarknot applicable
What to compare instead
Check capability before deciding
Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
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See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "databutler_stats",
"name": "Databutler Stats",
"url": "https://databutler.dev/api",
"logo": null,
"niche": null,
"category": null,
"short_summary": "Exact statistics and probability for AI agents — use instead of computing these in your head, where language models are unreliable. Distributions (normal/t/chi…",
"task_performed": "Exact statistics and probability for AI agents — use instead of computing these in your head, where language models are unreliable. Distributions (normal/t/chi2/binomial/poisson pdf-cdf-quantile), hypothesis tests (t, z, proportion, chi-square, with p-value + assumptions), confidence intervals, discrete Bayesian updates, and linear regression. Numerical core validated against reference tables. Free, no auth. From databutler.dev.",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [
"MCP",
"Linear"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"developer tools"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public price found on the vendor site.",
"confidence": "high",
"source_url": "https://databutler.dev/api",
"checked_at": "2026-09-01T04:27:27.004Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "medium",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://databutler.dev/api"
],
"last_checked": "2026-09-01",
"how_to_connect": {
"website": "https://databutler.dev/api",
"docs": null,
"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": 807,
"uptime_7d": null,
"checked_at": "2026-09-02T02:33:36.164Z",
"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."
}