Agentery pricing intelligence · Agent profile · Octagon
Agent profile · independently tracked by Agentery
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Octagon

↗ octagonagents.com official website

unclear

not-agenticPricing checked daily
Agentery value verdictBelow the comparable medianfrom $0.1/mo
Observed entry price$0.1/molowest observed monthly
Billing modelunclear
Pricing observed29 Oct 2026latest priced read of the page
Website liveness29 Oct 2026alive · separate from pricing

What it does

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

Octagon

unclear

MCP

Pricing & plans

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

Pricing · observed daily
Plus · market position

$17 /mo

41.4% below the Pro flat median. Basis: Pro flat plans in Equity Research Agent, same buyer tier and billing unit, 7 providers, USD monthly, observed 2026-10-29. Separately, across all Pro-tier plans in the niche regardless of billing unit (9 providers): cheaper than 6 of them.
this agent · $17
$18.50median $29$52.38
pricing observed 2026-10-29 · page rechecked daily · source evidence retained
What should this agent charge?

The current price sits below the comparable median.

pricing recommendation
$17
$18.50–$52.38
$29

$17 sits below the observed Pro flat range ($18.50–$52.38) — around the 23th percentile of observed prices. It reads as a value play; make sure the margin still works.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

41.4% below the Pro flat median.

get_provider_profile · plan history

Plus observed 2026-10-29.

pricing recommendation

~23rd percentile of comparable Pro flat plans (approximate: interpolated between the cohort’s observed quartiles, 7 providers).

confidence

medium; 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.

$17 / month
$17 lowestmedian $29$87 highest
Competitive value position. At $17/month, this plan is 41.4% below the Pro flat median (7 providers).
23rd
-41.4%
$18.50–$52.38

Is Octagon good value?

How its price compares with genuinely comparable providers.

Below the comparable median

Below the comparable median for its buyer tier.

Basis: Pro flat plans at the same billing unit (7 providers), USD monthly, pricing observed 2026-10-29. The Plus plan ($17/mo) sits 41.4% below that median of $29. Other cohorts on this page (niche-wide tier peers, nearest products by capability) are labelled where they appear.

Observed commercial price$17/mo
Position among MCP serversMid-priced among MCP servers · 6 priced · moderate
NicheEquity Research Agent
Price benchmarkapplicable
How it compares

Compared with Equity Research Agent

Positioned against the observed p25 / median / p75 of comparable providers at the same buyer tier and billing unit (the basis is stated with each verdict above). See the plans above for the percentile and its cohort size, and the full niche market for peers.

View the full niche →

Octagon's local market

Nearest products by what they do — a different cohort from the buyer-tier benchmark above. Local median $29/mo (entry prices of 20 priced of 50 nearest products, any tier or billing unit) — Octagon is 41% below it.

See the full market →
See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
  "agent_id": "octagon",
  "name": "Octagon",
  "url": "https://octagonagents.com",
  "logo": "https://agentery.com/logos/CP-FJ28VB-ld256.png",
  "niche": "equity-research-agent",
  "category": "financial-services",
  "short_summary": "unclear",
  "task_performed": "unclear",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [],
  "autonomy_level": "unclear",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": {
    "observed": true,
    "billing": "subscription",
    "source_kind": "vendor",
    "currency": "USD",
    "lowest_monthly_usd": 17,
    "monthly_usd": 17,
    "headline": "From $17/mo (annual commitment)",
    "commercial": {
      "entry_offer": {
        "line": "Plus",
        "monthly_native": 17,
        "monthly_usd": 17,
        "commitment": "annual",
        "basis": "$17/month, billed annually (annual commitment)"
      },
      "rates": [
        {
          "line": "Add-on credits",
          "per": "per 500 credit",
          "text": "$50 per 500 credit"
        }
      ],
      "currency": "USD",
      "lines": [
        {
          "name": "Plus",
          "price": "$17 per month, billed annually",
          "kind": "base_subscription",
          "billed": "annually"
        },
        {
          "name": "Pro",
          "price": "$41 per month, billed annually",
          "kind": "base_subscription",
          "billed": "annually"
        },
        {
          "name": "Enterprise",
          "price": "Custom",
          "kind": "custom"
        },
        {
          "name": "Add-on credits",
          "price": "$50 per 500 credits",
          "kind": "usage_rate",
          "unit": "500 credit",
          "billed": "usage"
        }
      ]
    },
    "summary": "From $17/mo (annual commitment). Public pricing shows Plus at $17 per month billed annually and Pro at $41 per month billed annually, with Enterprise pricing available by custom quote.",
    "confidence": "high",
    "source_url": "https://www.octagonai.co/pricing/",
    "checked_at": "2026-10-29T02:38:35.778Z",
    "amount": 17,
    "display": "From $17/mo",
    "plans": [
      {
        "name": "Plus",
        "price": "$17 per month, billed annually",
        "period": "month",
        "persona": "pro",
        "highlights": [
          "200 credits per month",
          "Access to all Agents",
          "Add-on credits at $50 per 500 credits",
          "Unlimited API keys",
          "MCP and OpenAI compatibility"
        ],
        "promo_note": "Save 15%; includes a 15-day free trial",
        "price_promo": null,
        "price_annual": null
      },
      {
        "name": "Pro",
        "price": "$41 per month, billed annually",
        "period": "month",
        "persona": "pro",
        "highlights": [
          "600 credits per month",
          "Everything in Plus",
          "Historical Prediction Markets reports"
        ],
        "promo_note": "Save 16%; includes a free trial",
        "price_promo": null,
        "price_annual": null
      },
      {
        "name": "Enterprise",
        "price": "Custom",
        "period": null,
        "persona": "enterprise",
        "highlights": [
          "Customized credits",
          "Unlimited team access",
          "Customized workflows"
        ],
        "promo_note": null,
        "price_promo": null,
        "price_annual": null
      },
      {
        "name": "Add-on credits",
        "price": "$50 per 500 credits",
        "usage": true,
        "period": "usage",
        "persona": "pro",
        "highlights": [
          "Credit add-on"
        ],
        "promo_note": null,
        "price_promo": null,
        "price_annual": null
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "low",
  "entity_type": "not-agentic",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://octagonagents.com"
  ],
  "last_checked": "2026-10-29",
  "profile_checked": "2026-06-19",
  "price_checked": "2026-10-29",
  "how_to_connect": {
    "website": "https://octagonagents.com",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [
      "MCP"
    ],
    "install": null,
    "repository": null,
    "note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
  },
  "deployment": {
    "model": "unknown",
    "both_offered": false,
    "hosted_endpoint": null,
    "install": null,
    "note": "No deployment evidence held — Agentery has no endpoint, install instruction or directory attribute for this listing.",
    "evidence": null
  },
  "licence": {
    "name": null,
    "note": "No named licence found in the retained page text or source attributes. A public repository alone does not establish an open-source licence.",
    "evidence": null
  },
  "evidence_checks": {
    "price": {
      "source_url": "https://www.octagonai.co/pricing/",
      "last_observed_day": "2026-10-29",
      "age_days": 1,
      "verified_day": "2026-10-29",
      "note": "verified = the page-text gate ran for that scan day (day-before/day-of text check)"
    },
    "agent_card": {
      "status": "unknown",
      "note": "no Agent Card URL recorded for this listing"
    },
    "endpoint": {
      "status": "unknown",
      "note": "endpoint not yet checked"
    }
  },
  "price_applies_to": "price observed on octagonai.co, not on this listing's site (octagonagents.com) — likely the vendor platform, not this connector",
  "product_group": {
    "group_id": 9,
    "group": "Financial research and market data",
    "change_90d_pct": -1.11,
    "fair_price_by_tier_monthly_usd": {
      "individual": 19,
      "pro": 29,
      "team / small business": 199,
      "enterprise": 947.54
    },
    "note": "Change of the group's price index over the last 90 days. Call get_group_fair_price with group_id for tier and payment-model detail.",
    "page": "https://agentery.com/aepi/groups/9"
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 783,
    "uptime_7d": 1,
    "checked_at": "2026-10-29T02:41:21.179Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": {
      "usdPerUnit": 0.1,
      "unit": "credits",
      "usdPer1k": 100,
      "raw": "$50 per 500 credits",
      "plan": "Plus"
    }
  },
  "reported_success": null,
  "feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}