All Services

Extracts mentions (entities, references, named items) from a block of text up to 50,000 characters.

Reverses the order of elements in a JSON array, optionally with offset and size parameters.

Removes blank lines from text up to 50,000 characters, returning a normalized version with consecutive empty lines stripped.

Splits and tokenizes input text into paragraphs using T5-style tokenization via a pay-per-call API on Base.

Returns an evenly spaced sample of elements from an input array, with optional offset and size controls.

Computes the difference between two arrays, returning elements present in the first array but not in the second.

Flattens a nested JSON array and returns the top 10 results, with optional comparison array and offset support.

Left-pads a text string to a specified total length using a given fill character, equivalent to JavaScript's String.prototype.padStart().

Selects and reshapes specific fields from a batch of up to 500 JSON records, optionally renaming keys and applying defaults.

Normalizes whitespace in a given text string, collapsing or trimming excess spaces.

Computes frequency counts and distributions for elements in a JSON array, with optional comparison to a second array.

Strips blank lines from a block of text, normalizing whitespace by removing empty line breaks.

Extracts all integers from a given text string using a T5-based model, returning them as structured data.

Counts the number of words (token tier T1) in a given text string up to 50,000 characters.

Converts input text to UPPERCASE using a pay-per-call utility API on Base via x402 micropayments.

Splits a JSON array into fixed-size chunks, optionally offset and compared against another array.

Flattens a nested JSON array into a single-level array, with optional comparison array and offset/size controls.

Computes absolute values of an array of up to 1000 numbers, with optional scaling, clamping, offsetting, and digit-rounding transformations.

Capitalizes the first letter of a text string, returning the transformed result.

Splits a JSON array into chunks and returns the top 10 chunk at a specified offset, optionally compared against another array.

Extracts integer numbers from a given text string, returning them as structured data.

Reverses the order of elements in a JSON array, with optional offset and size parameters.

Renames fields across up to 500 JSON records, returning the top 10 transformed results.

Splits a JSON array into a chunk of items at a given offset and size, optionally compared against another array.

Converts a plain text string into its hexadecimal representation

Checks whether a given text string starts with a specified search string, returning a boolean match result.

Flattens a nested JSON array into a single-level array, with optional comparison and offset parameters.

Normalizes and control-cleans input text by removing or standardizing control characters, whitespace, and formatting artifacts.

Reverses a JSON array and returns the last 10 elements (tail) of the reversed result.

Splits a JSON array into fixed-size chunks, optionally offset or compared against another array, returning the chunked result.

Decodes a URL-encoded string back to its original human-readable form.

Splits input text into paragraph-level token segments for downstream processing by autonomous agents.

Removes specified keys from an array of JSON records, returning the records with those fields omitted

Extracts domain names or domain-related entities from a block of text using a pay-per-call x402 API on Base.

Returns the floor (largest integer less than or equal to) of a given numeric value.

Rotates a JSON array by a given offset, optionally comparing with another array.

Extracts a subarray from an input array using start and end indices, returning the sliced values and count.

Extracts UUIDs from a block of text, returning identified UUID strings found within the input.

Splits a string of text into an array of substrings using a specified separator, returning the parts and their count.

Extracts or filters alphanumeric tokens from a given text string, returning only letter-and-digit sequences

Computes the frequency distribution of elements in a JSON array, with optional comparison against a second array and configurable size/offset parameters.

Computes the difference between two arrays, returning elements present in the first array but not in the second.

Splits or tokenizes input text into structured paragraph-level tokens for downstream NLP processing by autonomous agents.

Returns an evenly spaced sample of elements from an input array, with optional offset and size controls.

Rotates a JSON array by a given offset, optionally comparing against a second array.

Sorts a JSON array of up to 1000 items using a stable sort algorithm, optionally compared against a secondary array, via a pay-per-call API on Base.

Extracts and returns token mentions found within a given text string, up to 50,000 characters.

Normalizes and cleans text using a T5-based control-clean model, removing noise and standardizing formatting up to 50,000 characters.

Extracts IPv4 addresses from a block of text up to 50,000 characters.

Removes leading and trailing whitespace from a text string for clean downstream agent processing.

Extracts word-level bigrams (consecutive two-word pairs) from input text up to 50,000 characters.

Extracts all integer numbers from a given text string, returning them as structured output.

Returns the first element of a provided array, indicating whether a value was found.

Splits a JSON array into fixed-size chunks, optionally starting at an offset, for downstream agent processing.

Extracts or filters alphanumeric tokens from a given text string, returning only alphanumeric character sequences.

Selects and transforms specific fields from a batch of JSON records, with optional key filtering, renaming, and default values.

Extracts and counts token-level mentions from a block of text up to 50,000 characters.

Purchases $5 USDC worth of OneFaith (0xa568b156207d21bde44e031dCE9331C5f99C6b07) tokens on behalf of the caller via an x402 payment-gated API

Purchases 1 USDC worth of OneFaith tokens (contract 0xa568b156207d21bde44e031dCE9331C5f99C6b07) on behalf of the caller via an x402 payment-gated API call

Purchases $5 USDC worth of Onepiece (ONE) tokens on-chain and delivers them to the caller's wallet

Purchases 1 USDC worth of Onepiece (0x70015e8a07Db5184221ca86d11d00d95770E4b07) tokens on-chain via a paid API call

Calculates sequential percentage changes across a numeric series and returns 5 progressively richer statistical output feature sets.

Bins a numeric dataset into equal-width histogram intervals and returns 8 progressively richer statistical feature sets about the distribution.

Returns every 3rd element from an input array, with richer diagnostic metadata at Tier 1.

Returns the first 16 elements of a submitted array, with Tier 1 richer diagnostic metadata included in the response.

Fetches recent news articles about ecommerce, retail payments, and consumer behavior, curated for platform operators, with publisher links and publication dates.

Fetches recent ecommerce, retail, payments, and consumer behavior news articles with publisher links and publication dates, tailored for research teams.

Fetches recent ecommerce, retail, payments, and consumer behavior news articles tailored for software developers, with publisher links and publication dates.

Rebases a series of on-time dispatch share figures to a Base-100 index, anchored at a chosen reference row, from up to 200 supplied retail dispatch records.

Computes and compares on-time dispatch share (percentage) between two periods — before and after — for retail dispatch data.

Generates a distribution histogram of on-time dispatch share rates from supplied retail dispatch records, bucketed into configurable bins.

Computes a distribution summary of on-time dispatch share rates from retail dispatch data (up to 200 records).

Detects IQR-based statistical outliers in retail on-time dispatch share data across up to 200 records

Computes a one-input sensitivity table for on-time dispatch share metric, showing how the KPI changes as a single input variable is varied across supplied values.

Analyzes ordered trend patterns in on-time dispatch share across up to 200 retail dispatch records, returning a bounded trend analysis report.

Ranks up to 200 retail records by on-time dispatch share (on-time dispatches divided by total dispatches) and returns a bounded ranking report.

Computes a rolling mean of on-time dispatch share (on-time dispatches / total dispatches) over a sliding window for up to 200 retail dispatch records.

Computes a sequential (waterfall) attribution report showing how changes in dispatch volume and on-time dispatch count each contribute to the change in on-time dispatch share between two states.

Calculates the gap between actual on-time dispatch share and a specified target for retail dispatch operations, returning a bounded target gap report.

Classifies whether on-time dispatch share metrics fall within a specified lower/upper threshold range, returning bounded classification reports for up to 200 retail dispatch records.

Generates a two-input scenario grid showing on-time dispatch share across combinations of dispatch and on-time dispatch values for retail data.

Computes a weighted mean of on-time dispatch share across multiple retail data rows, up to 200 records.

Returns a ranked list of trending blockchain/crypto topics based on document analysis over a configurable look-back window

Parses raw CI log text to identify failing steps, error codes, and tools, then returns prioritized findings, severity scores, and a Markdown triage report with safe (non-executing) rerun commands.

Returns on-chain trading lane performance data (wins, closes, PnL, win rate) per asset, paid per call via x402 USDC micropayment on Base.

Queries DeFi asset-backed finance (ABF) loan positions filtered by protocol, asset, health factor, and liquidation risk across chains

Returns a structured buy-or-skip / pass-or-flag decision with evidence and reason codes for a given URL, supporting procurement, vendor risk, API QA, and public-web evaluation workflows.

Performs AI-driven due diligence on URLs or websites, returning structured buy/skip, vendor risk, or procurement decisions with evidence and reason codes.

Analyzes one or more URLs for health, trustworthiness, and buy-or-skip suitability, returning a machine-verifiable verdict for agent procurement and vendor risk workflows.

Fetches recent news articles about open source releases, governance, funding, and licensing, curated for platform operators, with publisher links and publication dates.

Fetches recent news and reporting about open source releases, governance, funding, and licensing, curated specifically for product teams.

Fetches recent news articles about open source releases, governance, funding, and licensing, curated for research teams with publisher links and publication dates.

Searches live public web pages for information about open source license obligations specifically relevant to agent builders, returning source links and snippets.

Searches live public web pages for information about open source license obligations, returning relevant snippets and source links tailored for analyst audiences.

Searches live public web pages for information about open source license obligations specifically relevant to technology buyers, returning source links and snippets.

Searches the live web to find public project activity and maintainer health signals for open-source projects, tailored for integration developers.

Searches the live web for open-source project activity signals and maintainer health metrics to support procurement decisions.

Searches the live web for open-source project activity signals and maintainer health indicators, tailored for product team decision-making.

Searches the live web for public open-source project activity and maintainer health signals using a focused query, tailored for research teams.

Searches the live web for public signals about open-source project maintainer activity, health, and responsiveness, tailored for security team use cases.