InferCPI

com.infercpi/api · v1.0.0 · productivity

InferCPI is healthy: it completed an MCP handshake in 329 ms and exposes 10 tools.

AI inference price index: token prices, cost per capability, open vs closed, hosts, cost per task.

Endpoint: https://infercpi.com/mcp (streamable-http)

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Facts

Users (last 30 days)0
HandshakeHealthy
Auth neededNone
Tool count10
Latency329 ms
Last checked (UTC)2026-10-29T00:45:08.982Z

Health history

Checked (UTC)StatusLatencyError
2026-10-29T00:45:08.982ZHealthy329

Tools (10)

index_latestLatest value of every index series (list-price chained/composition/hedonic, usage-weighted paid price, Törnqvist, OpenRouter shares, TPI replica) with dates, the latest editorial note, and the licence/attribution line. Start here.
index_seriesFull weekly history of one series as [[unix_ts, value], ...] plus its method string. signal: price_index | weighted_index | or_rankings | implied_margin | self_host | task_cost | hf_downloads | gpu_spot | gpu_neocloud | aws_gpu | speed | hyperscaler_capex | seller_revenue | cloud_revenue | token_pri
index_catalogueEvery series the index publishes: signal/key, point count, first and last date, method string.
basketEvery model priced in this week's list-price index: provider, blended $/1M (0.75 in + 0.25 out), Epoch capability score where matched.
eventsPriced events in first-party price lists, newest first: launch, price_cut, price_increase, removed, each with key, provider, old/new blended $/1M and pct. since: ISO date; kind: filter to one kind.
speedLatest daily speed run, measured by the index: per model and route (openrouter default routing, openrouter_pinned to the first-party host, anthropic and openai direct), median time to first token (ms), visible output tokens per second, host that served it. Same prompt every day.
model_priceBlended list $/1M for one model by any common name ('Claude Opus 5.5', 'anthropic/claude-opus-5.5', 'gpt-5.5'); matches by the index's name normaliser and returns every basket entry that matches.
open_vs_closedCheapest blended $/1M at each capability level (Epoch ECI 130/145/160) for closed models, open models at their lab's price and open models at the cheapest third-party host; the open discount; DeepSeek's floor lift (cheapest price without DeepSeek / cheapest overall, at lab and at host prices); and t
self_hostingWhat it costs per 1M tokens to leave the APIs: desk boxes (Mac Studio lease, RTX 5090 bought) at full and 25% duty, H100 rented by source (Vast, AWS, RunPod, CoreWeave, Lambda, Nebius) and owned, against the API price of the same open model and of the cheapest closed model at equal capability; break
cost_per_taskMonthly measurement: dollars and tokens per completed task for the most-used models (fixed 8-task suite via OpenRouter at default settings, charged cost), reasoning share of output tokens, accuracy, and medians.