LLM Pricing

Name: LLM Pricing
Author: skakumanu

MCP serverMCP

Real-time, drift-verified LLM pricing across 26 providers with cost+quality model routing.

by skakumanurepository ↗v1.73.2

Is this yours?

This record is unclaimed

Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.

Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"llm-pricing","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.

Claim this record

Observed by Wellknown

Evidence

Everything here was measured by our prober or read from a registry. Nothing is self-reported.

30-day availability12/12 checks ok

30 days ago

when	check	result	http	latency	detail
1 h ago	mcp initialize	ok	200	116 ms	server LLM Pricing MCP Server 1.73.5 · protocol 2024-11-05 · 29 tools
8 h ago	mcp initialize	ok	200	102 ms	server LLM Pricing MCP Server 1.73.5 · protocol 2024-11-05 · 29 tools
15 h ago	mcp initialize	ok	200	98 ms	server LLM Pricing MCP Server 1.73.5 · protocol 2024-11-05 · 29 tools
22 h ago	mcp initialize	ok	200	107 ms	server LLM Pricing MCP Server 1.73.4 · protocol 2024-11-05 · 29 tools
28 h ago	mcp initialize	ok	200	110 ms	server LLM Pricing MCP Server 1.73.4 · protocol 2024-11-05 · 29 tools
35 h ago	mcp initialize	ok	200	119 ms	server LLM Pricing MCP Server 1.73.4 · protocol 2024-11-05 · 29 tools
2 d ago	mcp initialize	ok	200	203 ms	server LLM Pricing MCP Server 1.73.3 · protocol 2024-11-05 · 29 tools
2 d ago	mcp initialize	ok	200	184 ms	server LLM Pricing MCP Server 1.73.3 · protocol 2024-11-05 · 29 tools
2 d ago	mcp initialize	ok	200	187 ms	server LLM Pricing MCP Server 1.73.3 · protocol 2024-11-05 · 29 tools
3 d ago	mcp initialize	ok	200	325 ms	server LLM Pricing MCP Server 1.73.3 · protocol 2024-11-05 · 29 tools

Tools observed via MCP handshake

get_all_pricing — Get current pricing for all LLM models from all providers
estimate_cost — Estimate the cost of using a specific LLM model
compare_costs — Compare costs for multiple LLM models
get_performance_metrics — Get performance metrics (throughput, latency, context window) for models
get_use_cases — Get recommended use cases and strengths for LLM models
get_telemetry — Get MCP server telemetry and usage statistics including tool usage, response times, and error rates
get_pricing_history — Query historical pricing snapshots recorded over time. Use this to look up past prices for a model or provider, or to see how prices have changed over a given n
get_pricing_trends — Find models whose prices changed the most over a given period. Returns models sorted by absolute percentage price change with a direction label ('increased', 'd
register_price_alert — Register a webhook URL to receive notifications when a model's price changes by more than a specified percentage. Optionally scope the alert to a specific provi
list_price_alerts — List all registered price-change webhook alerts with their IDs and settings.
delete_price_alert — Delete a registered price-change alert by its ID.
get_pricing_export_url — Generate a download URL for the pricing history export. Returns a URL the user can open in their browser to download snapshot history as CSV (for spreadsheets)
list_conversations — List stored chat conversation sessions with their IDs, last-updated timestamp, turn count, and a preview of the most recent user message. Use this when the user
delete_conversation — Delete a specific chat conversation by its ID. Use when the user asks to delete, clear, or remove a past conversation. Use list_conversations first to find the
get_ide_pricing — Get subscription pricing for AI coding IDE tools: GitHub Copilot, Cursor, Windsurf, Claude.ai, JetBrains AI, Amazon Q Developer, and Tabnine. Returns monthly su
predict_cost — Predict the real cost of an LLM call from your actual prompt text — no need to know token counts in advance. Counts tokens locally, infers the task type (or acc
optimize_workload — Optimise a multi-task LLM workload by assigning the cheapest qualifying model to each task instead of running everything through one model. Takes a list of work
recommend_model — Recommend the optimal LLM model from a free-text description of your use case — no need to already know the routing engine's task_type vocabulary. Classifies th
check_price_drift — Audit this server's own pricing data against an external reference registry. Prices here are hand-maintained and go stale silently; a price that disagrees with
get_data_quality — Report an aggregate accuracy summary for the pricing catalogue: what percentage of models have a confirmed, fresh price, how many are currently withheld due to
get_cache_stats — Report process-lifetime hit/miss counts, total lookups, and hit rate for the ~5-minute recommendation cache, separately for the recommend_model tool and POST /r
record_usage — Record actual token usage for a completed LLM call. Cost is computed server-side from current pricing, never trusted from the caller — this is the 'actual spend
get_usage_summary — Get a summary of actual recorded LLM spend: total cost, request count, and breakdowns by model and provider, from usage events previously logged via record_usag
analyze_session_usage — Analyze one specific session's actual recorded LLM usage (tagged via record_usage's session_id) on demand: total input/output tokens, total actual cost, and a p
import_session_usage — Bulk-import a completed session's usage in a single call — the retroactive counterpart to record_usage, for when a session wasn't instrumented live. Use when a
register_budget_alert — Register a webhook URL to receive notifications when actual recorded spend (from record_usage) crosses a USD threshold within a rolling window. Optionally scope
list_budget_alerts — List all registered budget-spend webhook alerts with their IDs and settings.
delete_budget_alert — Delete a registered budget-spend alert by its ID.
ask_agent — Ask the LLM Pricing AI agent a question in natural language. Use for complex queries about pricing, model recommendations, cost optimisation advice, or anything

LLM Pricing

This record is unclaimed

Evidence

What the publisher says

Capabilities

Where this record came from