All Services

Performs OCR on a scanned PDF using Google Gemini to extract readable text, priced per page

Extracts plain text from a PDF file, processed privately in-process without third-party AI services, priced per page at $0.01 USDC

Performs OCR on an uploaded image file using Google Gemini, returning extracted text content

Converts a Markdown string into a PDF document for a flat fee of $0.01 USDC per call

Combines 2–20 PDF files into a single merged PDF document, billed per total page count across all inputs

Applies AES-256 password protection to a PDF file, billed per page

Extracts tables from a PDF file and returns them as structured JSON, powered by Google Gemini AI

Rotates an uploaded image by 90, 180, or 270 degrees

Removes the password protection from an encrypted PDF file, given the correct password, returning the unlocked PDF.

Merges 2–20 PDF files into a single PDF and compresses the result in one API call, priced per total page count

Converts a PDF file to Markdown text, processed privately in-process without sending content to third parties, at $0.02 USDC per call

Compresses a PDF file to reduce its size, billed per page

Select, reorder, delete, or rotate individual pages within a PDF file

Extracts all embedded images from a PDF file and returns them, processed entirely in-process without sending data to third parties

Renders each page of a PDF file into PNG images, returning them as a ZIP archive, priced per page

Generates a task-specific Avid Media Composer QC checklist and editorial workflow guidance grounded in the PostOpz Framework Vol. 1.

Returns time-bucketed open interest (USD) data for prediction market exchanges like Polymarket, aggregated by source and time interval.

Returns OHLCV candlestick price history for a specific prediction market event on exchanges like Kalshi, Polymarket, or Gemini.

Screens up to 10 npm or PyPI package versions against security, lifecycle, license, and release-age policies to return a deterministic allow/review/block decision before installation.

Returns deep-tier global-vs-Korea price divergence for a crypto token, including Korean news signals from Coinness Telegram and structured AI analysis with drivers, global context, action suggestion, and confidence score.

Returns a 0-100 composite macro stress score for the Korean Won, combining US 3Y treasury, VIX, foreign ownership proxy, USD/KRW momentum, and Korean semiconductor equity into a rolling 120-day percentile signal with regime classification and per-component breakdown.

Returns real-time KRW price data for a single cryptocurrency token from Upbit, Bithumb, or both Korean exchanges

Returns Naver-aggregated Korean K-pop news headlines auto-classified for K-pop relevance and translated to English, with title, summary, source, and original Korean references.

Returns token-by-token Kimchi Premium data for 189+ tokens, including reverse premium signals, Upbit-Bithumb price gaps, and Korean market share metrics

Fetches English-translated Korean semiconductor industry headlines and returns an AI-synthesized market analysis including sentiment, key themes, trending entities, and a bullish/bearish/neutral market signal.

Returns the real-time Kimchi Premium for a single crypto token by comparing its Upbit (Korean) price to its Binance (global) price, adjusted via the live USD/KRW FX rate.

Returns English-translated Korean semiconductor industry headlines with AI sentiment analysis, key themes, and market signals covering Samsung, SK Hynix, HBM/DRAM/NAND, and foundry ecosystem.

Returns real-time caution flags, investment warnings, new listings, and delistings for tokens on Korean crypto exchanges (Upbit, Bithumb)

Delivers AI-powered comprehensive Korean crypto market analysis aggregating 12+ data sources including exchange intelligence and Claude AI token-level signals

Returns real-time 1-minute price surges, crashes, and volume spikes plus the top 20 tokens by volume on Korean crypto exchanges (Upbit, Bithumb)

Returns AI-generated English sentiment analysis of Korean crypto markets by combining 189+ token exchange data with Korean news sources

Converts any color input (hex, rgb, hsl, or CSS name) into all color representations plus the nearest matching CSS color name

Resolves DNS records for a given hostname and optional record type, returning structured JSON results via pay-per-call USDC payment.

Fetches structured link preview metadata (title, description, hero image, site name, canonical URL, favicon, type) from any URL via OpenGraph, Twitter Card, or standard meta tags

Converts an amount between two currencies or retrieves all latest exchange rates for a base currency, using ECB reference rates, with pay-per-call pricing via x402.

Converts an address or place name to latitude/longitude coordinates (forward geocoding) or converts lat/lon to a structured address (reverse geocoding), billed per-call in USDC via x402.

Verifies an email address by checking syntax, MX records, disposable domain status, and role-address flags, returning a deliverability classification.

Computes a cryptographic hash digest of any input text using a specified algorithm (md5, sha1, sha256, sha384, sha512) and encoding (hex, base64, base64url), paid per-call via USDC.

Performs local NLP on a text string in a single call — detecting language, scoring sentiment, extracting keywords, and returning an extractive summary — without an LLM round-trip.

Generates a QR code from text or a URL, returning the result as an SVG string or PNG data-URI, paid per-call in USDC via x402.

Scans an EVM/Base token address for security risks including honeypot detection, tax analysis, liquidity checks, holder concentration, and mint controls, returning a JSON verdict with score, reasons, and recommended action.

Analyzes EVM transaction calldata before signing, returning a human-readable intent explanation, risk score, reason codes, and recommended action for AI wallet agents.

Performs risk assessment on an x402 payment endpoint before an autonomous agent pays, returning an allow/caution/block verdict with score, reason codes, and evidence.

Submits a machine output (candidate) and a verification criterion to independent human reviewers, returning an asynchronous judgment with confidence score, rationale, and signed proof.

Generates an explainable risk assessment brief for a crypto token by checking DexScreener market/liquidity data and GoPlus/RugCheck security signals, returning a risk score, risk level, red flags, and recommended next checks.

Validates X/Twitter, LinkedIn, and Xiaohongshu posts for platform compliance before publishing, returning rule codes, risk score, and suggested fixes.

Analyzes X (Twitter) posting activity for a single token contract address, counting distinct accounts, combined reach, posting acceleration, and each poster's historical call accuracy to distinguish organic attention from shill farms.

Fetches page metadata from a URL including title, description, Open Graph tags, favicon, HTTP status, and content type; optionally returns main-content text.

Computes the future value of a lump sum or annuity given an interest rate, number of periods, and present value

Computes the Internal Rate of Return (IRR) for a series of cash flows, returning the periodic rate, annualized percentage, NPV at IRR, and investment summary statistics.

Computes the annualized Sharpe ratio from a series of returns, including confidence intervals, standard error, excess return, and volatility statistics.

Computes multiple realized volatility measures (Parkinson, Yang-Zhang, Garman-Klass, Close-to-Close) from OHLC price data with annualization

Calculates Net Present Value (NPV) of a series of cash flows at a given discount rate, with investment decision recommendation

Computes z-scores, rolling z-scores, and detects statistical outliers/extremes in a numeric time series with a configurable window and threshold

Calculates the present value of an annuity or lump sum using time-value-of-money discounting, given a periodic payment, interest rate, number of periods, and payment timing.

Computes the Probabilistic Sharpe Ratio (PSR) — a statistically adjusted Sharpe that accounts for non-normality of returns, with significance tests and minimum track record length.

Computes a comprehensive suite of portfolio risk and performance metrics from a series of returns, including Sharpe, Sortino, Calmar, VaR, CVaR, max drawdown, Kelly criterion, Hurst exponent, CAGR, and win rate.

Tests whether two time series are cointegrated using the Engle-Granger/ADF method, returning hedge ratio, spread statistics, z-score, half-life, and critical values

Classifies market regime (trend, volatility, risk) from a price series and returns RSI, SMA, trend direction, and a suggested strategy.

Computes comprehensive portfolio risk metrics including Sharpe, Sortino, VaR, CVaR, max drawdown, alpha/beta, and return distribution statistics from a return series

Calculates optimal position size, share count, risk exposure, and 2R target price given entry price, stop loss, account size, and risk percentage per trade

Computes maximum drawdown, current drawdown, and underwater percentage from an equity curve

Computes a Pearson (or other method) correlation matrix and covariance matrix for multiple numeric time series, with optional eigenvalue decomposition

Calculates Kelly Criterion position sizing (full, half, and quarter Kelly fractions) given win rate, average win, average loss, and mode

Computes detailed transaction cost breakdown for a trade including spread cost, market impact, commission, round-trip cost, and breakeven move percentage

Fits an ordinary least squares linear regression to x/y data and returns coefficients, R-squared, p-values, t-statistics, F-statistic, and confidence-interval diagnostics.

Optimizes a multi-asset portfolio's weight allocation using mean-variance analysis (e.g. max Sharpe ratio) given historical return series and a risk-free rate

Computes a pairwise correlation matrix and annualized volatilities for multiple asset return series

Prices European options using Black-Scholes and returns the full Greeks suite, breakeven, intrinsic/time value, and probability ITM

Computes year-by-year real vs. nominal value series for an investment given an inflation rate and nominal return, using the Fisher equation

Computes the real yield from a nominal yield and inflation expectation for a given bond tenor, using both simple and Fisher equation methods

Computes a suite of technical indicators (RSI, EMA, SMA, ATR, Bollinger Bands, ROC, Stochastic K) and trend signals from a price/volume series

Computes the Taylor Rule prescribed interest rate given inflation, output gap, and neutral rate inputs

Calculates impermanent loss for AMM liquidity providers given an initial investment, initial price ratio, and current price ratio, returning LP value, hold value, loss amount, loss percentage, and fee breakeven APY.

Computes Bollinger Bands (upper, middle, lower bands), bandwidth, %B, and trading signal for a given price series

Computes EMA crossover signal (BULLISH/BEARISH) between a fast and slow exponential moving average from a price series

Computes normal distribution statistics including PDF, CDF, z-score, quantile, survival function, and confidence intervals for given mean, standard deviation, and value inputs

Calculates the implied volatility of an options contract from its market price using iterative numerical methods

Calculates DEX trade slippage, price impact, output amount, and effective price for an AMM swap given pool reserves, trade size, fee, and direction

Calculates the PPP-adjusted exchange rate and overvaluation/undervaluation percentage given a base spot rate and inflation differentials over a time horizon

Calculates covered or uncovered interest rate parity, detects FX mispricing, and identifies arbitrage opportunities between forward and theoretical forward rates.

Prices a fixed-income bond and returns key risk metrics including price, yield to maturity, duration, convexity, and DV01

Computes a full loan amortization schedule with optional extra payments, returning month-by-month balances, interest, principal breakdown, and total interest saved

Computes FX carry trade P&L, spot/carry returns, levered returns, annualized total return, and breakeven depreciation for a currency position given entry/exit prices and interest rate differentials.

Calculates put-call parity deviation for European options, identifies arbitrage signals, and determines whether parity holds given market prices.

Creates a real-time liquidation-risk and funding-rate monitor for a crypto derivatives position, delivering alerts via webhook or polling

Prices floating or fixed lookback options using the underlying asset price, historical minimum/maximum, volatility, and time parameters

Prices arithmetic or geometric Asian options using Monte Carlo or closed-form methods, returning fair value and equivalent volatility

Computes a month-by-month token vesting schedule given TGE percentage, cliff, linear/custom vesting parameters, and total supply

Prices barrier options (knock-in/knock-out) with full Greeks, comparing against vanilla option price and computing the discount

Prices American or European options using a binomial tree model and returns fair value, Greeks (delta), and early exercise premium versus Black-Scholes.

Computes the Average True Range (ATR) volatility indicator for a given price series, returning current ATR value, ATR percentage, ATR series, and volatility regime classification.

Calculates the liquidation price for a leveraged crypto position given entry price, collateral, position size, leverage, direction, and maintenance margin rate

Checks whether a tokenized ETF (USO, SPY, QQQ, GLD, SLV on Robinhood Chain) is currently tracking its reference price within acceptable bounds, returning on-chain price, basis, pool depth, oracle freshness, and risk flags.

Generates a portable, post-quantum cryptography (PQC)-signed identity and trust certificate bundle for a given agent

Cryptographically binds an agent's declared intent to its command payload, producing a verifiable HMAC-signed intent record that proves intent matches action

Verifies agent authorization for a given action and returns a signed ALLOW/CLAMP/DENY decision with a cryptographic release token

Scans a prompt for injection attacks (instruction override, role hijack, data exfiltration, delimiter attacks) and returns a sanitized version

Fix spelling, grammar, and punctuation in text without changing its meaning, using an LLM at a fraction of frontier model cost.

Send a PDF, Word doc, or Markdown file for legally binding e-signature with hosted signing links, ordered multi-signer routing, approvers, templates, and live status tracking.