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

occam.fit official website

discovers mathematical equations from numerical data

toolPricing checked daily
Agentery value verdictPriced near the marketfrom $0/mo
Observed entry price$0/molowest observed monthly
Billing modelfreemium
Last checked28 Jul 2026pricing & liveness

What it does

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

Occam

discovers mathematical equations from numerical data

numerical data, time series measurements → governing equations ranked by simplicity and accuracy tradeoff, Pareto front of expressions with complexity vs loss metrics
MCPMCPautonomy: workflow automation

Pricing & plans

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

Pricing · observed daily
per row · market position

$0.00 /row

0% above the median. Cheaper than 0 of 1 comparable providers.
this agent · $0.00
$0median $0.00$0
observed 2026-07-11 · rechecked daily · source evidence retained
What should this agent charge?

This plan sits close to the market.

pricing recommendation
$0.00
$0$0
$0.00

$0.00 is positioned against a $0–$0 observed middle market.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

0% above the median.

get_agent_profile · plan history

per row observed 2026-07-11.

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.

$0.0005 / month
$1 lowestmedian $0.00$0 highest
At-market position. At $0.0005/month, this plan is 0% above the niche median.
1st
+0%
$0$0

Is Occam 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$0.0005/mo
NicheAcademic Research Agent
Price benchmarkapplicable
How it compares

Compared with Academic Research 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 →

Comparable Academic Research Agent

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": "occam",
  "name": "Occam",
  "url": "https://occam.fit",
  "logo": "https://agentery.com/logos/CP-FK5DX3.png",
  "niche": "academic-research-agent",
  "category": "research-knowledge-work",
  "short_summary": "discovers mathematical equations from numerical data",
  "task_performed": "discovers mathematical equations from numerical data",
  "inputs_accepted": [
    "numerical data",
    "time series measurements"
  ],
  "outputs_produced": [
    "governing equations ranked by simplicity and accuracy tradeoff",
    "Pareto front of expressions with complexity vs loss metrics"
  ],
  "integrations_available": [
    "MCP"
  ],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [
    "developer tools"
  ],
  "autonomy_level": "workflow automation",
  "human_approval_needed": "unclear",
  "pricing_model": "freemium",
  "price": {
    "observed": true,
    "billing": "freemium",
    "currency": "USD",
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "Free tier + paid plans (price not published)",
    "summary": "Occam offers a free tier for smaller requests and usage-based pricing beyond it, with tool-specific baseline and incremental fees.",
    "confidence": "high",
    "source_url": "https://occam.fit/",
    "checked_at": "2026-07-28T05:54:00.642Z",
    "amount": null,
    "display": null,
    "plans": [
      {
        "name": "Free tier",
        "price": "Free",
        "usage": true,
        "period": "usage",
        "persona": "free",
        "highlights": [
          "Up to 100 rows and 8 variables/features",
          "Rate-limited to 10 requests per hour per IP"
        ],
        "price_annual": null
      },
      {
        "name": "SINDY_RUN",
        "price": "$0.05",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "Baseline fee",
          "$0.01 per 100 extra rows",
          "$0.01 per extra variable"
        ],
        "price_annual": null
      },
      {
        "name": "PYSR_RUN",
        "price": "$0.25",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "Baseline fee",
          "$0.03 per 100 extra rows",
          "$0.01 per extra variable"
        ],
        "price_annual": null
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "high",
  "entity_type": "tool",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://occam.fit"
  ],
  "last_checked": "2026-06-19",
  "how_to_connect": {
    "website": "https://occam.fit",
    "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": 363,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:36:36.935Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": {
      "amount": 100,
      "unit": "rows",
      "per": "total",
      "raw": "100 rows",
      "plan": "Free tier"
    },
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}