
Occam
discovers mathematical equations from numerical data
What it does
The specific capability behind this listing, and where to get it.
Occam
discovers mathematical equations from numerical data
Official Occam links
Pricing & plans
Observed public pricing for Occam, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$0.00 /row
The current price is deliberately competitive.
$0.00 is positioned against a $0–$0 observed middle market.
Why Agentery reaches that view
price_benchmark80% below the median.
get_agent_profile · plan historyper row observed 2026-07-11.
pricing recommendationPercentile unavailable for this basis.
confidenceSource page rechecked daily.
Test a different price for this plan.
Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.
Is Occam good value?
How its price compares with genuinely comparable providers.
Below the niche median for its buyer tier.
Benchmarked against comparable providers at the same buyer tier and billing unit — the entry plan sits 80% below the observed median.
Compared with MCP Server Ecosystem
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 →Occam's local market
Nearest products by what they do.
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": "mcp-server-ecosystem",
"category": "developer-tools-infra",
"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": "2026-09-02T05:01:11.809Z",
"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": 538,
"uptime_7d": 1,
"checked_at": "2026-09-02T02:39:20.052Z",
"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."
}