Agent Pricing Index
Agent Pricing Index: free tools to benchmark AI pricing and check a quote. FDE lessons, per query.
Should I use this
Quality & Safety
Findings (1)
- LOWTool 'fde_lessons_preview' description lacks action verbin fde_lessons_preview
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"fde-lessons-warn-feed": {
"url": "https://api.ignatiustheyoungerai.com/mcp"
}
}
}Remote endpoints
https://api.ignatiustheyoungerai.com/mcpstreamable-httpWhat it can do
Tool inventory
Tools (12)
🟢fde_catalogue
FREE. List every Forward Deployed Engineering rule, playbook, and checklist phase available from this server — id, title, phase, and tags, with the paid body withheld. Call this first to see what is on offer before paying for anything.
Input Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}⚪fde_lessons_preview(topic)
FREE. Return the foundational Forward Deployed Engineering rules in full, no payment required. Each rule carries the real incident behind it and an implementable agent-behavior constraint.
Input Schema
{
"type": "object",
"properties": {
"topic": {
"type": "string",
"description": "Optional keyword filter, e.g. 'verify', 'cache', 'deploy'."
}
},
"additionalProperties": false
}⚪fde_lessons_full(topic)
PAID. Return the full Forward Deployed Engineering ruleset, or the subset matching a topic. Requires a machine payment (MPP over Stripe). If unpaid, returns the exact payment challenge and the URL to retry against.
Input Schema
{
"type": "object",
"properties": {
"topic": {
"type": "string",
"description": "Optional keyword filter."
}
},
"additionalProperties": false
}⚪fde_playbook(topic)
PAID. Return situational runbooks with ordered, checkable steps — DNS migration and static-site change. Use before executing that class of operation, not after it fails.
Input Schema
{
"type": "object",
"properties": {
"topic": {
"type": "string",
"description": "Optional keyword filter, e.g. 'dns'."
}
},
"additionalProperties": false
}🔴fde_preship_checklist(phase)
PAID. Return the pre-ship checklist: every gate to clear before shipping, each with the concrete failure it prevents. Designed to be called before every deploy.
Input Schema
{
"type": "object",
"properties": {
"phase": {
"type": "string",
"description": "Optional phase filter: 'before', 'executing', 'verifying', 'closing'."
}
},
"additionalProperties": false
}🟢pricing_changes(since)
PAID. Return only the dated Agent Pricing Index corrections at or after a given date — what changed, not the full dataset. Each correction is from a re-read of the vendor's own page. Cheaper than fde equivalent full-dataset calls when you only need to know what moved.
Input Schema
{
"type": "object",
"properties": {
"since": {
"type": "string",
"description": "Optional YYYY-MM-DD. Defaults to 30 days back."
}
},
"additionalProperties": false
}🟢pricing_benchmark(category)
FREE. What AI products and agents in one category actually charge: published-price counts, contact-sales share and median entry price from the Agent Pricing Index (every row read off the vendor's own page with a verbatim quote and read date), plus the private-submission benchmark where it has five or more data points.
Input Schema
{
"type": "object",
"properties": {
"category": {
"type": "string",
"enum": [
"coding-agent",
"support-agent",
"gtm-agent",
"agent-platform",
"voice-agent",
"model-api",
"vertical-ai",
"other"
]
}
},
"required": [
"category"
]
}🟡pricing_submit(category, pricing_model, entry_usd_month, unit_price_usd, product, ...)
FREE, give-to-get. Add one AI product's price (list or a real quote) to the Agent Pricing Index private benchmark. Returns the category benchmark it unlocks. Individual submissions are never published; medians only at five or more per category.
Input Schema
{
"type": "object",
"properties": {
"category": {
"type": "string",
"enum": [
"coding-agent",
"support-agent",
"gtm-agent",
"agent-platform",
"voice-agent",
"model-api",
"vertical-ai",
"other"
]
},
"pricing_model": {
"type": "string",
"enum": [
"per-seat",
"usage-credits",
"per-outcome",
"per-token",
"per-minute",
"hybrid",
"flat"
]
},
"entry_usd_month": {
"type": "number",
"description": "Monthly price in USD (per seat for per-seat)."
},
"unit_price_usd": {
"type": "number",
"description": "Price of one billable unit in USD."
},
"product": {
"type": "string"
},
"usage_unit": {
"type": "string"
},
"typical_discount_pct": {
"type": "number"
},
"note": {
"type": "string"
}
},
"required": [
"category",
"pricing_model"
]
}🟢pricing_quote_check(product, category, pricing_model, quoted_usd_month, seats, ...)
FREE, give-to-get. Check a price you were quoted (or plan to quote) for an AI product against the vendor's own published list price and the category. Returns discount off list, position in the category and data freshness. The quote is added to the private benchmark (never published individually), which is the price of the answer.
Input Schema
{
"type": "object",
"properties": {
"product": {
"type": "string",
"description": "Product name, e.g. Cursor."
},
"category": {
"type": "string",
"enum": [
"coding-agent",
"support-agent",
"gtm-agent",
"agent-platform",
"voice-agent",
"model-api",
"vertical-ai",
"other"
]
},
"pricing_model": {
"type": "string",
"enum": [
"per-seat",
"usage-credits",
"per-outcome",
"per-token",
"per-minute",
"hybrid",
"flat"
]
},
"quoted_usd_month": {
"type": "number",
"description": "Quoted monthly price in USD, per seat for per-seat."
},
"seats": {
"type": "number"
},
"term_months": {
"type": "number"
},
"list_usd_month": {
"type": "number",
"description": "Optional: the list price you were shown, if different from the public page."
},
"share_to_benchmark": {
"type": "boolean",
"description": "Must be true. The quote joins the private benchmark; it is never published individually."
}
},
"required": [
"category",
"pricing_model",
"quoted_usd_month",
"share_to_benchmark"
]
}🟢pricing_rows(category, product)
FREE. Return the published Agent Pricing Index rows for one category or product, each with the vendor's pricing URL, verbatim evidence quote and read date. Full dataset is CC BY 4.0, attribute to ignatiustheyoungerai.com/pricing-index.
Input Schema
{
"type": "object",
"properties": {
"category": {
"type": "string",
"enum": [
"coding-agent",
"support-agent",
"gtm-agent",
"agent-platform",
"voice-agent",
"model-api",
"vertical-ai",
"other"
]
},
"product": {
"type": "string"
}
}
}⚪order_teardown(product_url)
Order a human-reviewed pricing teardown of one AI product from IgnatiusTheYoungerAI (enterprise-scale pricing operator). Returns the tiers and checkout links for the agent's operator. Use when a quote or price page needs a verdict, not a lookup.
Input Schema
{
"type": "object",
"properties": {
"product_url": {
"type": "string",
"description": "The pricing page to tear down."
}
}
}⚪judgment_multiple(annual_exposure_usd, annual_control_cost_usd)
FREE. The Judgment Multiple: annualized exposure divided by the annualized cost of the human control that guards it. Tells you whether a human reviewer on an AI workflow is cheap insurance or overhead.
Input Schema
{
"type": "object",
"properties": {
"annual_exposure_usd": {
"type": "number",
"description": "Dollars at risk per year if the AI output is wrong and nobody catches it."
},
"annual_control_cost_usd": {
"type": "number",
"description": "What the human check costs per year."
}
},
"required": [
"annual_exposure_usd",
"annual_control_cost_usd"
]
}Community
Evidence