All Services

Expands a text query or topic using AI, generating elaborated content or extended information from a short input

Classifies a text query or input using AI, returning a categorization or classification result

Sends a natural language query to an AI chat model and returns a generated text response

Generates AI-written blog post content based on a search query or topic input

Relays webhook payloads to registered endpoints, acting as a proxy or intermediary for incoming webhook events, via a pay-per-call micro-service model.

Fetches structured ecommerce spreadsheet or product data via a micro-service endpoint, returning parsed sheet or catalog results.

Calculates and returns optimal flash loan routing paths across DeFi protocols for a given set of token/pool parameters

Fetches finance-themed meme content or humorous financial data via a pay-per-call micro-service on the CIEL M2M marketplace.

Sends a residential network ping request to test connectivity or verify residential IP reachability via a POST call.

Analyzes or models human behavior patterns given input properties, returning structured behavioral insights or predictions.

Fetches a cryptographically signed public-record data snapshot for a named surface (market node, product, or estate-scale block) and returns an EdDSA-signed receipt resolvable at a permanent URL.

Fetches NodeOps operational data or agent-linked resource via a fixed GET endpoint on the GetBags platform

Retrieves the list of supported blockchain chains available through the BCS (Blockchain Security) upstream service for x402 agent payment firewall routing.

Looks up cross-chain bridge transaction status and provenance data by transaction hash and bridge protocol label, proxied through an x402 pay-per-call gateway.

Downloads a batch of wallet address risk score changes (delta) in JSONL format, including risk labels, scores, and provenance metadata.

Returns the current server-side timestamp via a paid x402 inference/audit utility endpoint

A sample pay-per-call agent service endpoint on the Northline platform, payable via x402 protocol using USDC on Base with no account or API key required.

Runs two local analytical reports on user-supplied daily null-coverage data: a daily sum time series and an explicit missing-value fill (zero, mean, or median) for up to 200 rows.

Computes a daily sum time series and a secondary-measure weighted mean for up to 200 rows of numeric precision comparison data (source_value vs transformed_value).

Runs string normalisation and trailing mean series analytics on up to 200 rows of numeric precision comparison data (source_value vs transformed_value), returning two independent reports.

Mints 300,000 Nut402 tokens for $100 USDC via the x402 payment protocol

Returns the current mint status for a Base-network USDC token mint, indicating whether the mint is active or has ended.

Returns the current server timestamp from the Oblique Markets API

Returns the current server time from the Oblique Markets API

Performs fraction arithmetic and mathematical operations on fractional expressions via a pay-per-call API

Expands or elaborates on a given query or input text using AI, returning enriched or extended content

Estimates tax liability based on provided financial query or input data

Retrieves or queries AI-related changelog information via a natural language search query, paid per call in USDC via x402.

Generates AI-written blog post content based on a text query or topic input

Accepts a symptom query and returns health-related information or analysis based on the provided symptoms.

Calculates tip amounts for a given bill or financial transaction

Converts cryptocurrency amounts between different coins or tokens, returning converted values across supported chains

Sends a natural language query to an AI chat model and returns a generated text response, billed per call via x402 USDC payment.

Generates or retrieves workout and fitness health data based on a query or input text, payable per call in USDC via x402.

Answers AI-related frequently asked questions by accepting a natural language query and returning relevant AI knowledge or guidance.

Converts or formats text input into Markdown format via a pay-per-call API using x402 micropayments

Converts data from one format or representation to another via a general-purpose conversion endpoint

Determines optimal network or geographic routing paths based on a query, returning routing recommendations or geolocation-based route data.

Fetches academic research paper data by identifier via the Omnicall gateway, pay-per-call with no API key required

Returns best DEX pool, total reserve liquidity in USD, and expected trade slippage across 7 blockchains before executing a trade

Checks smart contract ownership renouncement, token burn percentage, and circulating supply across 7 blockchains before a trade, functioning as a pre-trade safety oracle.

Probes a list of URLs or BNB Chain ERC-8004 agent IDs to determine whether each exposes a payable x402 endpoint, returning price and payment terms

Counts and inventories number tokens (numeric values, dates, quantities) within an onboarding guide document supplied as Markdown or plain text.

Computes category frequency counts for team_group and numeric row ordering for completed_steps or required_steps fields in onboarding progress records (up to 200 rows, 2 reports per call).

Normalises team/group strings and ranks onboarding progress rows by completed_steps or required_steps, returning two analytical reports for up to 200 records.

Looks up AI-related security incidents and rug/honeypot events by company or vendor name across a curated incident database

Encodes input text using a tier-4 encoding transformation via a pay-per-call utility API on Base.

Computes a set operation (pack/intersection/union) on two input arrays and returns a tier-3 processed result.

Performs tier-10 number analysis on a numeric input value and returns a tier-dependent analytical result.

Encodes or transforms input text using a tier-6 processing level via a pay-per-call utility API on Base using x402.

Performs tier-2 number analysis on a numeric input value, returning a tier-dependent analytical result via a pay-per-call x402 API.

Analyzes a numeric value and returns tier-1 analytical results about that number via a pay-per-call API using x402 on Base.

Performs tier-9 JSON analysis on an arbitrary input value, returning a tier-dependent structured result via a pay-per-call x402 utility API.

Applies a tier-4 text transformation to a given input string via a pay-per-call API on Base using x402.

Encodes or transforms text input using a tier-1 encoding pack, returning a processed result via pay-per-call x402 API on Base.

Packs and processes two input arrays using a tier-8 set operation, returning a tier-dependent result for autonomous agent workflows.

Performs tier-8 text analysis on a provided string, returning a structured result via a low-cost pay-per-call API on Base using x402.

Packs and processes two input arrays using a tier-7 set operation, returning a tier-dependent result via pay-per-call x402 micropayment on Base.

Performs tier-7 text analysis on a given string, returning a structured result via a pay-per-call x402 API on Base.

Performs tier-9 text analysis on a given string, returning a tier-dependent structured result via a pay-per-call x402 API on Base.

Segments and packs input text using tier-6 processing for autonomous agents via x402 pay-per-call on Base.

Computes a set operation (pack) on two input arrays at tier-4 quality, returning a processed result via a pay-per-call x402 API on Base.

Encodes or transforms input text using a tier-8 encoding scheme via a pay-per-call utility API.

Performs a tier-5 number analysis computation on a numeric input value, returning a tier-dependent analytical result.

Performs a tier-5 JSON analysis on a provided value using a pay-per-call utility API designed for autonomous agents.

Performs tier-2 JSON analysis on an arbitrary input value, returning a structured analysis result via a pay-per-call x402 micropayment on Base.

Performs tier-6 JSON analysis on a submitted value using a pay-per-call utility API priced at $0.0035 USDC via x402 on Base.

Packs and processes two input arrays using a set operation at tier 6, returning a tier-dependent result via pay-per-call x402 on Base.

Applies a tier-6 text transformation to an input string via a pay-per-call API using x402 payments on Base.

Performs tier-3 level numerical analysis on a given numeric value, returning a tier-classified result via a pay-per-call x402 API.

Creates a detached JSON clone of input data enriched with 8 progressively richer layers of structural metadata.

Returns the first N items from a JSON array with Tier 3 progressive diagnostics, deterministically processing the input array and returning its head elements.

Rotates a JSON array one position to the right deterministically and returns enriched Tier 7 diagnostics alongside the result.

Accepts a JSON object and returns the first 2 entries when sorted alphabetically by key, with Tier 7 diagnostic enrichment.

Extracts and returns the first 32 numeric fields from a JSON object, with Tier 2 progressive diagnostics.

Returns the first N keys of a JSON object with tier-2 diagnostics, where N=3 is fixed by the parameter.

Returns the last N entries of a JSON object, with Tier 8 progressive diagnostics, using a fixed parameter of 32.

Returns the character lengths of the first 32 words in a submitted text, with Tier 5 diagnostic enrichment.

Analyzes the first 16 words of submitted text and returns the longest words found, with Tier 5 diagnostic enrichment.

Calculates sequential differences of a numeric series scaled by N=2, returning tier-5 diagnostics with progressively richer output.

Computes trailing moving sums over a numeric series using a fixed window size of 8, returning results with Tier 7 diagnostic richness.

Divides a numeric series using a fixed divisor parameter of 16, returning Tier 2 progressively richer diagnostics for the operation.

Returns the last Unicode character(s) from a text string using parameter=1, with Tier 5/10 diagnostic enrichment.

Extracts the last 2 words from a text input with tier-7 diagnostic enrichment, returning a deterministic segmented tail slice.

Removes the first 5 elements from a submitted array and returns the remaining items along with progressively richer diagnostic metadata at tier 7.

Multiplies all numeric values in a payload by 0.5 (halves them), with Tier 1 richer diagnostic output, via a pay-per-call x402 API.

Extracts and returns the last 24 Unicode characters from a given text input, with Tier 10 richer diagnostic metadata included in the response.

Retrieves power/capacity data from the Gloom open-source finance terminal platform

Parses and decomposes a URL string into its constituent components via an HTTP POST request

Decodes raw calldata from HTTP POST/PUT/PATCH request bodies into human-readable structured form

Audits one-to-one identifier aliases across typed optical measurement records, checking that identifier mappings are consistent without asserting ownership, rights, or authenticity.

Binds optical measurement rows to exact dataset, material, lot, method, source-revision, and content manifests to audit provenance edges for supplied records.

Validates optical measurement records against declared owner, subject, revision, and allowed scope labels to enforce strict boundary compliance without granting permissions or independent certification.

Compares duplicate owner, subject, and revision declarations across scientific celestial/orbital records to detect conflicting identity claims.

Compares two sets of parsed typed orbital record projections for semantic equality, preserving pins and scope (target, centre, frame, time-scale, solution) while ignoring field order.

Checks for parent existence and referential cycles within owner and subject fields of supplied records, validating internal reference integrity without independent certification.

Enumerates owner, subject, revision, content, and scope pin changes between two supplied revisions of stable orbital record IDs, comparing before/after record sets for target/centre/frame/time-scale/solution-pinned orbital data.

Compares closed export-field directionality in supplied orbital records, checking that fields flow in the declared direction relative to before/after epoch arrays and a specified data class.

Validates that orbital record rows conform to declared owner, subject, revision, and allowed scope labels, enforcing exact boundary constraints without granting access permissions.

Binds orbital record references to a declared owner/subject/revision/content/source frame and maps source coverage across supplied rows and sources.