All Services

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.

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.

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.

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

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.

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.

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

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

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.

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

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

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

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.

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.

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

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

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

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

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

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.

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

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

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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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 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.

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.

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

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

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

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

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

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

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

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

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

Stamps a text watermark (e.g. DRAFT, CONFIDENTIAL, or custom text) across pages of a PDF document with configurable position, opacity, color, and size

Extracts all regex pattern matches from a text string, with ReDoS protection and bounded inputs.

Parses an uploaded Excel (.xlsx) file into structured CSV or JSON, handling multiple sheets, headers, and data type detection.

Converts tabular data into styled, multi-sheet Excel (.xlsx) files with formula-injection protection

Generates a QR code with a custom logo composited in the center using high error-correction (ECC H) to ensure reliable scanning

Creates a named, versioned, cryptographically-provable storage object (baton) that agents can write to, read from, append, and hand off to other agents or people

Programmatically fill or flatten PDF forms by submitting field values and receiving a completed PDF document in return.

Overlays or watermarks one image onto another with configurable position and blend control

Cuts a specified time range from an audio or video file using fast stream-copy, preserving original codecs with no quality loss.

Renders an HTML string to a PNG/image using a sandboxed headless Chromium instance and returns the screenshot

Condenses any input text into its key points — briefs, digests, or TL;DRs — at ~Opus-4.8 accuracy for roughly 1–5% of the cost.

Applies a unified diff (patch) to a source string, returning the patched result or a 422 error on context mismatch — never a silent bad merge.

Automatically detects and crops uniform borders from images without requiring manual coordinates, at $0.0003 per megapixel.

Adds an invisible OCR text layer to a scanned PDF, making it fully text-searchable without altering its visual appearance

Converts legacy, exotic, or damaged Office files (doc, xls, ppt, odt, etc.) to PDF using LibreOffice, handling formats that modern Office applications refuse to open

Validates rows in a CSV or structured file against a user-defined JSON schema, returning row-level validation errors as JSON

Converts tabular data between CSV, TSV, JSON, and NDJSON formats while preserving structure, billed per MB.

Compares two PDF documents and returns a unified diff highlighting every textual change between versions

OCR a document and return full line- and word-level layout coordinates (via AWS Textract) for position-aware text extraction and downstream parsing.

Executes full SQL queries against CSV, JSON, or Parquet files using a sandboxed read-only DuckDB engine, returning results as Parquet

Strips EXIF and metadata from images for privacy while auto-orienting photos to preserve upright orientation

Renders bar, line, or pie charts from JSON data and returns a report-ready PNG image in a single API call.

Converts documents between markdown, HTML, docx, odt, rtf, epub, LaTeX, and rst formats using pandoc, with citation support

Converts Word (.docx/.doc), Excel (.xlsx/.xls), or PowerPoint (.pptx/.ppt) files to PDF using LibreOffice, preserving layout.

Converts raw HTML into clean plain text by stripping all markup, suitable for LLM input preprocessing or search indexing.

Renders a clean, branded invoice PDF from structured JSON containing line items, totals, and branding information

Extracts all embedded images from a PDF file and returns them as PNG files, billed at $0.001 per page.

Verifies a JWT signature with algorithm pinning, blocking alg:none and algorithm confusion attacks, without logging the key.

Inspects any media file via ffprobe and returns duration, container format, streams, codecs, dimensions, and bitrate as structured JSON

Permanently burns styled subtitle/caption tracks into a video file using libass, so captions are hardcoded into every copy of the video.

Detects silent intervals in audio as JSON or trims silence out of audio files to produce tighter, cleaner recordings.

Performs a three-way merge of two edited versions of a text against a common base, inserting conflict markers where edits overlap.

Extracts structured tables from documents as rows and columns using AWS Textract, returning clean tabular data instead of raw text.

Renders an HTML document to a print-quality PDF using sandboxed headless Chromium

Resizes or fits images to specified dimensions, preserving animated GIF/WebP frames, priced at $0.0003 per megapixel

Screens a name against OFAC, EU, UK, and UN sanctions lists plus Wikidata-derived PEP watchlists with fuzzy matching, returning an instant JSON verdict.

Parses a government-issued ID (passport or driver's license) into typed structured fields using AWS Textract AnalyzeID

Analyzes an image URL and flags unsafe or inappropriate content using AWS Rekognition, returning moderation categories with confidence scores

Detects faces in an image and returns attributes including age range, emotions, pose, and facial landmarks using AWS Rekognition.