All Services

Fetches a random joke, optionally filtered by category and safe-for-work setting

Looks up company information and data for a given domain name

Encodes or decodes text using Base64 encoding via a pay-per-request API

Validates and looks up metadata for a given IP address

Fetches public GitHub user profile data for a given username

Fetches trivia questions of a specified type and quantity for use in games, quizzes, or entertainment contexts

Parses and extracts structured components from a given URL string

Converts a monetary amount between two currencies and returns the current exchange rate result

Retrieves real-time or historical flight data for a given flight number

Generates a QR code from a text string, with optional size and format parameters

Validates an email address and returns structured validation results

Returns current weather data for a given city or geographic coordinates

Rewrites input text with a specified tone and style using AI processing

Returns current weather data for a location specified by city name or geographic coordinates

Looks up information and data about a given domain name

Encodes or decodes text using Base64 encoding via the Bolt utility toolkit

Returns one or more random cat images via a pay-per-request API

Expands or elongates a given text string into a longer version, optionally with a specified style and target length

Returns a specified number of animal facts for a given animal species

Translates text from one language to another, with optional source language specification

Returns one or more random cat images via the Bolt utility toolkit

Fetches news articles matching a query, category, and language, returning paginated results via a pay-per-request model.

Simplifies text to a specified reading level using AI processing

Generates a random string of a specified length and encoding via the Bolt utility toolkit

Fetches cryptocurrency price data for a specified coin against a target currency

Analyzes submitted source code and returns AI-powered code review feedback, optionally focused on specific concerns or a specific programming language.

Returns the current time for a specified timezone

Converts a block of text into a concise, formatted list of bullet points

Fetches and searches news articles by query, category, and language via a pay-per-request API

Returns a direct download URL for the EPUB version of a specified book using AI-powered lookup against a digital archive

Sends a paid ping request over the x402 micropayment protocol on Base, returning a confirmation with sender info and payment transaction details

Returns a paid allocation analysis pack including market intelligence, ladder data, and unsigned execution packets for BotCurve strategies on Base-USDC.

Returns live BotCurve market intelligence, allocation analysis, and unsigned execution packets via a paid x402 endpoint on Base-USDC.

Fetches the live declared dependencies for the boto3 Python package from PyPI, with an optional package name override.

Fetches live PyPI package metadata and health information for the Boto3 Python package (or any specified package).

Returns live PyPI source repository and documentation URLs for the Boto3 Python package (or any overridden package name).

Pay-per-view access to premium video content using x402 micropayment protocol at $0.10 USDC per request

Statically validates whether a supplied MCP server snapshot satisfies a set of required tool contracts by comparing tool names and exact input/output schema digests, given a protocol version and transport — no live server contact required.

Returns statistics and market data about the bounty task marketplace for AI agents operating in the x402 ecosystem.

Evaluates and judges bounty submissions for AI agents, returning a structured verdict, paid per-call via x402 micropayments on Base.

Monitors one or two URLs for content changes, storing a SHA-256 baseline and comparing subsequent fetches to detect modifications — part of an agent-commerce infrastructure suite.

Detects revenue gaps, billing discrepancies, and unsettled amounts by reconciling usage, invoice, and payment records for a given billing period.

Computes a canonical, deterministic cache key (SHA-256) for an HTTP request by normalizing its URL, body, method, and headers, optionally dropping specified parameters.

Audits a batch of settlement ledger entries for status, receipt presence, duplicate IDs, and settlement integrity, returning a per-entry breakdown and overall audit decision.

Analyzes a GitHub issue URL to score its bounty readiness and return intelligence about funding, complexity, and claimability.

Validates a CloudEvents event against caller-declared policy rules and historical event context, returning a quarantine/pass decision with SHA-256 integrity hashes and structured findings.

Routes autonomous agent API spend across candidate providers by optimizing for policy, budget, trust, and latency, returning a ranked plan with affordability checks and fallback ordering.

Analyzes a caller-supplied dependency graph to compute blast radius, weighted exposure, and criticality scores, then decides whether to allow or block an operation based on failure-cost thresholds and node criticality limits.

Audits a list of MCP tool declarations for security risks, side-effect potential, annotation conflicts, and allowlist violations, returning severity-graded findings and a risk score.

Encodes or decodes strings using Base64 or Base64url alphabet via a paid micropayment API

Canonicalizes a JSON value into a deterministic byte sequence and returns its SHA-256 hash and canonical string representation

Scores and ranks caller-supplied records against caller-supplied rules, returning a prioritized list with per-record scores and matched rules.

Scans and validates tool/API response content for injection risks and security threats before an AI agent acts on it

Acts as a gating layer for autonomous agent tool calls, enforcing spend controls, idempotency, retry planning, and decision routing before an agent action executes.

Audits a submitted artifact (SVG, HTML, or JSON) against a policy to verify structural correctness and determine if it qualifies for a bounty payout.

Audits caller-supplied seller metadata for x402/agent-commerce conformance, scoring each seller on settlement, payment routing, and protocol compliance.

Audits a public webpage URL and returns a quality/compliance score with a list of issues found

Merges multiple structured data records by finding field-level consensus across sources and flagging conflicts where values disagree.

Pre-validates an agent tool call against spend controls, policy rules, and safety guards before actual execution, returning an allow/deny decision with findings.

Compares two API schema versions (before and after) and detects breaking changes, returning a verdict on whether the schema drift is safe or breaking.

Validates and enforces allowed state transitions for agent tasks, returning a decision (allow/deny) with the set of valid next states from a given current state.

Generates a signed, SHA256-hashed agent delegation contract specifying objective, budget, deliverables, constraints, and acceptance rules for autonomous agent task assignment.

Packages and serializes an agent's current execution state, completed steps, pending steps, blockers, and artifacts into a signed, verifiable handoff capsule for continuation or delegation.

Analyzes a bounty URL or text to signal whether the bounty is legitimate and payable before a developer invests build time.

Analyzes a bounty URL and returns a GO/NO-GO verdict with signals indicating whether the bounty is funded, open, and payable before a developer invests build time.

Analyzes a bounty URL and returns a GO/NO-GO verdict with signals indicating whether the bounty is real, funded, and payable before a developer invests build time.

Analyzes a bounty URL and returns signals indicating whether the bounty is likely to pay out, delivering a GO/NO-GO verdict before a developer invests build time.

Analyzes a bounty URL and returns signal indicators (funding language, closed status, friction barriers) plus a GO/NO-GO verdict before a developer invests build time.

Analyzes a bounty URL and returns a GO/NO-GO verdict with evidence signals indicating whether the bounty is funded, open, and payable before a developer invests build time.

Analyzes a bounty URL for payment viability signals and returns a GO/NO-GO verdict before a developer invests build time.

Analyzes a bounty URL for evidence signals (funding language, closed status, identity friction) and returns a GO/NO-GO verdict before a developer invests build time.

Fetches a web page by URL and returns its content as clean Markdown text, including title and HTTP status.

Analyzes a bounty URL and returns signals indicating whether the bounty is funded, open, and payable before a developer invests build time.

Computes adjacent row-to-row changes and a Base-100 index series for brand mention inventory data (mention_count, source_count) supplied by the caller, returning two analytical reports for up to 200 rows.

Computes adjacent row-over-row changes and a date-by-category pivot table for supplied brand mention inventory records (mention_count, source_count), returning two analytical reports for up to 200 rows.

Computes adjacent row-to-row changes and an equal-width histogram for brand mention inventory data (mention_count, source_count) supplied by the caller.

Analyzes brand mention inventory data by computing adjacent row-to-row changes and flagging IQR-based outliers for mention_count or source_count fields across up to 200 rows.

Runs two local analytical reports on brand mention inventory data: adjacent row change detection and keyed dataset comparison, covering up to 200 rows.

Generates two analytical reports from supplied brand mention data: a base-100 indexed time series and a date-by-category pivot table, for up to 200 rows.

Computes a Base-100 indexed time series and an equal-width histogram for brand mention inventory data (mention_count or source_count) supplied by the caller, using local analytical engines with no external lookups.

Computes a base-100 indexed time series and fills missing values (zero, mean, or median) for brand mention inventory data (mention_count, source_count) across up to 200 rows.

Generates a Base-100 index series and a keyed dataset comparison report for two supplied brand mention inventory datasets (mention_count or source_count), up to 200 rows each.

Computes a Base-100 index series and a source_count-weighted mean for supplied brand mention inventory data (mention_count, source_count), returning two analytical reports for up to 200 rows.

Computes a Base-100 indexed time series and two-measure correlation report for supplied brand mention inventory data (mention_count and source_count) across up to 200 rows.

Analyzes brand mention inventory records by computing category-level frequency distributions and adjacent-row delta changes for mention_count or source_count fields.

Computes category-level frequency distributions and a Base-100 indexed series for up to 200 rows of brand mention inventory data (mention_count and source_count fields).

Computes category-level frequency breakdowns and daily sum time series for supplied brand mention inventory data (mention_count, source_count) across company groups.

Analyzes brand mention inventory records to produce two reports: category frequency counts and a date-by-category pivot, for up to 200 rows of mention and source count data.

Computes category-level frequency counts and an equal-width histogram for brand mention inventory records (mention_count or source_count) across up to 200 rows.

Computes category frequencies and IQR-based outlier flags for brand mention inventory records (mention_count or source_count) across company groups, delivering two analytical reports for up to 200 rows.

Analyzes brand mention inventory records to produce category-level frequency summaries and a row-keyed comparison between two supplied datasets (up to 200 rows each, two reports per call).

Computes category frequency distributions and applies a numeric interval filter on user-supplied brand mention inventory records (mention_count, source_count), returning two local analytical reports for up to 200 rows.

Computes category-level frequencies and secondary-measure weighted mean statistics for up to 200 rows of brand mention inventory data (mention_count, source_count) using local analytics — no external calls.

Computes category-level frequency distributions and trailing moving-average time series for supplied brand mention inventory records (mention_count or source_count), returning two analytical reports for up to 200 rows.

Computes category frequencies and a two-measure correlation (mention_count vs source_count) for up to 200 rows of brand mention inventory data using local analytical engines.

Analyzes supplied brand mention inventory rows to produce a daily sum time series and adjacent row change report for mention_count or source_count.

Computes a daily sum time series and an equal-width histogram for brand mention inventory data (mention_count, source_count) supplied by the caller — up to 200 rows, two reports in one call.

Computes daily aggregated sums and IQR-based outlier flags for brand mention inventory data (mention_count, source_count) across company groups, returning up to 2 independent analytical reports for up to 200 rows.

Computes a daily sum time series and a keyed dataset comparison for up to 200 brand mention inventory rows (mention_count, source_count) using local analytical engines.

Computes daily sum time series and secondary-measure weighted mean for brand mention inventory records (mention_count, source_count) across up to 200 rows, producing two analytical reports.