Financial Analysis x402 offerings

Llama pricing table: what every Llama model costs per token right now — Llama 4 Scout, Llama 4 Maverick, Llama 3.3 — from Meta and every provider that resells or hosts them (Bedrock, Azure, Vertex, OpenRouter, Fireworks). Input, output, cache and batch USD per 1M tokens, sorted cheapest first, so you can compare Llama inference cost across hosts and pick the cheapest place to run one. Normalized, cross-checked, refreshed hourly.

Phi pricing table: what every Phi model costs per token right now — Phi-4, Phi-3.5 — from Microsoft and every provider that resells or hosts them (Bedrock, Azure, Vertex, OpenRouter, Fireworks). Input, output, cache and batch USD per 1M tokens, sorted cheapest first, so you can compare Phi inference cost across hosts and pick the cheapest place to run one. Normalized, cross-checked, refreshed hourly.

GPT pricing table: what every GPT model costs per token right now — GPT-5, GPT-5 mini, GPT-4o, GPT-4.1, o3 — from OpenAI and every provider that resells or hosts them (Bedrock, Azure, Vertex, OpenRouter, Fireworks). Input, output, cache and batch USD per 1M tokens, sorted cheapest first, so you can compare GPT inference cost across hosts and pick the cheapest place to run one. Normalized, cross-checked, refreshed hourly.

Qwen pricing table: what every Qwen model costs per token right now — Qwen 3, Qwen 2.5, Qwen Coder — from Alibaba and every provider that resells or hosts them (Bedrock, Azure, Vertex, OpenRouter, Fireworks). Input, output, cache and batch USD per 1M tokens, sorted cheapest first, so you can compare Qwen inference cost across hosts and pick the cheapest place to run one. Normalized, cross-checked, refreshed hourly.

Jamba pricing table: what every Jamba model costs per token right now — Jamba 1.5 Large, Jamba Mini — from AI21 and every provider that resells or hosts them (Bedrock, Azure, Vertex, OpenRouter, Fireworks). Input, output, cache and batch USD per 1M tokens, sorted cheapest first, so you can compare Jamba inference cost across hosts and pick the cheapest place to run one. Normalized, cross-checked, refreshed hourly.

SambaNova pricing table: per-token cost of every AI model SambaNova serves, in one call — input, output, cache and batch USD per 1M tokens, ranked cheapest first, with context window and capability flags joined in. Compare LLM token cost inside SambaNova and against other providers hosting the same model. Normalized from public sources, cross-checked, refreshed hourly.

Gemini pricing table: what every Gemini model costs per token right now — Gemini 3 Pro, Gemini 3 Flash, Gemini 2.5 — from Google and every provider that resells or hosts them (Bedrock, Azure, Vertex, OpenRouter, Fireworks). Input, output, cache and batch USD per 1M tokens, sorted cheapest first, so you can compare Gemini inference cost across hosts and pick the cheapest place to run one. Normalized, cross-checked, refreshed hourly.

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Money split: split a money amount into shares without losing or inventing a cent. Divide evenly into N parts, or by a list of ratios, and the remainder is distributed one minor unit at a time by a named, deterministic rule — largest-remainder, first-wins or last-wins — so the parts always sum exactly to the original. Uses the ISO 4217 minor-unit exponent of the currency, so zero- and three-decimal currencies work (JPY 0, KWD 3); metals and XXX are rejected.

Triage up to 1,000 backtests in one call: the best-of-N multiple-testing selection correction over every return series — $0.01 per series, survivors ranked best-first. Use when your agent has a FARM …

Triage up to 1,000 backtests in one call: the best-of-N multiple-testing selection correction over every return series — $0.01 per series, survivors ranked best-first. Use when your agent has a FARM of backtests, strategies, or research results — dozens to a thousand — and needs triage, not one-by-one verdicts. One call runs the selection correction over every series: each gets NO (killed), PROVISIONAL (survived this gate), or ERROR (malformed). Results ranked survivors-first by family-wise p. Priced at $0.01 per series submitted, stated in the 402 before you pay. This is triage: run judge-lite on the provisional survivors for the full three-gate verdict. Bad bodies are refused before payment, never charged. Money Mind sells judges, not strategies. This company has no proven edge and does not sell signals, forecasts or data.

Is this backtest winner real, or just the best of N tries? The multiple-testing selection correction (family-wise p) in one $0.01 call — verdict NO or PROVISIONAL. Use when your agent has a backtest …

Is this backtest winner real, or just the best of N tries? The multiple-testing selection correction (family-wise p) in one $0.01 call — verdict NO or PROVISIONAL. Use when your agent has a backtest winner, a research result, or any return series that looks good — and needs the cheapest possible check on whether it is real or the luckiest of N tries. One call runs the selection correction: the family-wise p of the series' own t across your declared n_tested. Verdict NO names selection as the killer; PROVISIONAL means it survived this one gate — the deflated Sharpe and date-clustered t did not run, so this is never REAL. For the full three-gate verdict use judge-lite. Bad input is refused before payment, never charged. Money Mind sells judges, not strategies. This company has no proven edge and does not sell signals, forecasts or data.

Is this backtest, strategy or DeFi result real, or the luckiest of N tries — selection, Sharpe and clustering in one verdict, built for trading agents. Use when your agent has a backtest, a research …

Is this backtest, strategy or DeFi result real, or the luckiest of N tries — selection, Sharpe and clustering in one verdict, built for trading agents. Use when your agent has a backtest, a research result, or any return series that looks good — and needs to know whether it is real or the luckiest of N tries before spending money on it. One call runs the three cheapest high-signal gates: selection correction (family-wise p across your declared n_tested), deflated Sharpe, and date-clustered t. Verdict REAL means every gate passed; PROVISIONAL means the selection gates passed but no dates were given, so clustering is unchecked — never REAL; NO names the gate that killed it. Bad input is refused before payment, never charged. Money Mind sells judges, not strategies. This company has no proven edge and does not sell signals, forecasts or data.

Give this API a loan amount, an interest rate, and a repayment term, and it returns the exact monthly payment plus a full month-by-month schedule: interest paid, principal repaid, and balance remaining for every payment. Ask what an extra $300 a month, or a $10,000 lump sum in month 24, would do and it reports the months and interest saved. Every figure uses banker's rounding at pinned precision, so two correct systems agree to the cent. You supply the rate; the API does the math.

How much house can I actually afford? Home-affordability calculator with max purchase price by front-end and back-end DTI, income, debt, and down payment, current 30yr rate context, and a buy-vs-wait call. For personal-finance and real-estate agents.

Estimates mortgage impacts on wealth and affordability.

Give this API a loan amount, an interest rate, and a repayment term, and it returns the exact monthly payment plus a full month-by-month schedule: interest paid, principal repaid, and balance remaini…

Most shorted European stocks: issuers ranked by disclosed net short interest (hedge fund positions of 0.5%+ of capital published by the French AMF), with 30-day change, funds short and largest holder. Use to find crowded shorts in Europe.

Compute simple (SMA) and exponential (EMA) moving averages over a numeric series. Returns one value per input position - the first (window-1) SMA values are null since there isn't enough history. EMA uses the standard alpha = 2/(window+1) smoothing factor used in technical analysis.

MSBI — Mycelia Signal Breadth Index. Sector participation (% above 20DMA), RSP/SPY breadth momentum, SPY price momentum. 0-100 composite. 300s cache. — Ed25519 signed attestation

Calculates 9 TTM financial ratios (P/E, P/OCF, P/FCF, P/B, EV/EBITDA, ROIC %, Debt/Equity, Current Ratio, Interest Coverage) directly from official SEC EDGAR XBRL filings with accession audit trails. Disclosures: Financial institutions and IFRS ADRs return null for unclassified balance sheet or missing US-GAAP taxonomy tags.

MESI — Mycelia Equity Stress Index. VIX, VVIX, IV/RV ratio, credit stress, DXY momentum. 0-100 composite. 300s cache. — Ed25519 signed attestation