Agentery pricing intelligence · Provider profile · Primate Intelligence
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Primate Intelligence

primateintelligence.ai/docs/agents official website

Video scene understanding for AI agents — ask questions about any video via predictive world models. Remote MCP with OAuth 2.1, or local stdio.

infrastructurePricing checked daily
Agentery value verdictPriced near the marketfrom $0/mo
Observed entry price$0/molowest observed monthly
Billing modelunclear
Last checked2 Sept 2026pricing & liveness

What it does

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

Primate Intelligence

Video scene understanding for AI agents — ask questions about any video via predictive world models. Remote MCP with OAuth 2.1, or local stdio.

MCPMCPautonomy: infrastructure

Pricing & plans

Observed public pricing for Primate Intelligence, 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
$34median $68$136
observed 2026-09-02 · rechecked daily · source evidence retained
What should this agent charge?

The current price is deliberately competitive.

pricing recommendation
$0.00
$34$136
$68

$0.00 is positioned against a $34–$136 observed middle market.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

100% below the median.

get_agent_profile · plan history

per observed 2026-09-02.

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.

$0.0000015 / month
$1 lowestmedian $68$204 highest
Competitive value position. At $0.0000015/month, this plan is 100% below the niche median.
1st
-100%
$34$136

Is Primate Intelligence 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$0.0000015/mo
NicheAI Data Platform
Price benchmarkapplicable
How it compares

Compared with AI Data 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 →

Primate Intelligence's local market

Nearest products by what they do.

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": "primate_intelligence",
  "name": "Primate Intelligence",
  "url": "https://primateintelligence.ai/docs/agents",
  "logo": "https://agentery.com/logos/CP-DAJ78E.svg",
  "niche": "ai-data-platform",
  "category": "developer-tools-infra",
  "short_summary": "Video scene understanding for AI agents — ask questions about any video via predictive world models. Remote MCP with OAuth 2.1, or local stdio.",
  "task_performed": "Video scene understanding for AI agents — ask questions about any video via predictive world models. Remote MCP with OAuth 2.1, or local stdio.",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [
    "MCP"
  ],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [
    "general business"
  ],
  "autonomy_level": "infrastructure",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": {
    "observed": true,
    "billing": "usage",
    "currency": "USD",
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "Paid (price not published)",
    "summary": "Primate Intelligence charges self-serve customers $0.0000015 per processed frame, with a temporary free frame grant and custom enterprise pricing.",
    "confidence": "high",
    "source_url": "https://primateintelligence.ai/pricing",
    "checked_at": "2026-09-02T05:07:04.349Z",
    "amount": null,
    "display": null,
    "plans": [
      {
        "name": "Free Start",
        "price": "Free",
        "usage": true,
        "period": "usage",
        "persona": "free",
        "highlights": [
          "Up to 30 hours of continuous monitoring",
          "108,000 frames",
          "Expires after 30 days",
          "No card required"
        ],
        "price_annual": null
      },
      {
        "name": "Self-Serve",
        "price": "$0.0000015 / frame",
        "usage": true,
        "period": "usage",
        "persona": "free",
        "highlights": [
          "Billed per frame processed",
          "Paid credits do not expire",
          "Refill presets: $10, $25, $50, $100"
        ],
        "price_annual": null
      },
      {
        "name": "Enterprise",
        "price": "Custom",
        "period": null,
        "persona": "enterprise",
        "highlights": [
          "Committed volume pricing",
          "Dedicated capacity",
          "SLA and dedicated support"
        ],
        "price_annual": null
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "medium",
  "entity_type": "infrastructure",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://primateintelligence.ai/docs/agents"
  ],
  "last_checked": "2026-08-01",
  "how_to_connect": {
    "website": "https://primateintelligence.ai/docs/agents",
    "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": 966,
    "uptime_7d": 1,
    "checked_at": "2026-09-02T02:40:27.359Z",
    "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."
}