All Services

Compresses and distills AI context windows by up to 91% to reduce token usage in agent pipelines

Analyzes developer-focused sentiment for a given query, returning structured sentiment data with context compression metrics

Fetches whale momentum data for a given crypto symbol, returning compressed analytical intelligence via the AgentDiet context-distillation node.

Fetches whale momentum data for a given crypto symbol, delivering on-chain large-holder movement signals

Scans and returns cross-chain yield/APY data for a given crypto asset across DeFi protocols

Scans a blockchain contract address and returns compressed, distilled intelligence about it with a compression ratio proof

Fetches distilled Solana whale flow data (large-transaction signals) for a given token symbol, compressed for minimal token usage.

Returns a risk score for a given code repository, assessing potential security, quality, or dependency risks.

Scans a Rust Cargo package for known security vulnerabilities and returns a vulnerability report

Retrieves token intelligence and context compression metadata for a given token, reporting compression ratios and ROI proof for context window optimization.

Scans a software package for known vulnerabilities and returns security findings with compression metadata

Fetches current DeFi annual percentage yield (APY) data for a given asset, paid per-call via x402 USDC micropayment on Base.

Enriches and returns structured lead data for a given company domain, settling payment in USDC on Base via x402.

Audits a Solidity smart contract at a given address for security vulnerabilities and issues

Fetches GitHub Security Advisory (GHSA) data for a given package, returning compressed/distilled vulnerability intelligence with compression ratio proof.

Audits a CI/CD workflow repository and returns a compressed, token-efficient analysis with ROI proof of context compression

Searches for citations within compressed/distilled context windows using the AgentDiet A2A token-reduction platform

Looks up Autonomous System Number (ASN) information for a given domain via the AgentDiet intelligence node, paid per-call in USDC over x402.

Fetches security intelligence data for a given ticker symbol via a paid A2A/x402 endpoint

Returns firmographic data (company profile attributes) for a given domain, with context compression metadata showing token savings.

Enriches and returns structured intelligence data about a company founder or domain by querying against AgentDiet's distilled knowledge graph.

Scans text input to detect and flag RAG poisoning attempts that could corrupt AI agent context windows

Fetches a cryptographically signed public-record statement for a named surface (market node, product, or estate-scale block) with a permanent EdDSA-signed receipt

Fetches a signed, public-record statement of record for a market node or product on the agentic-issuers.ai network, returning an EdDSA-signed receipt resolvable at a permanent URL.

Fetches a public-record entry (market node, product record, or estate-scale block) from agentic-trades.ai and returns it with an EdDSA-signed receipt

Verifies a business contact and returns a machine-paid provenance receipt with integrity hash for autonomous transaction trust.

Looks up SRV records at _vlmcs._tcp.{hostname} to locate KMS (Key Management Service) servers for a given domain

Sorts lines of text in descending (Z-to-A / largest-to-smallest) order and returns the result

Retrieves the TXT record at the _dnslink subdomain of a given hostname and returns the dnslink= value found there

Transforms lines of text by applying the 'take-5' operation — selecting or processing every 5th line — locally without network calls.

Computes a SHA3-256 cryptographic hash of a latin1-encoded input string and returns the digest encoded as base32.

Returns a simulated 15-minute sauna relaxation experience with a welcome message, duration, and exit message for AI agents

Retrieves the security policies enforced by the AgentToll platform, such as PII handling and data governance rules.

Returns a free machine-readable catalog describing two paid agent utilities: Base USDC settlement proof and x402 resource repeat-demand vs one-shot usage analysis.

Batch-retrieves SolvScore credit ratings for multiple AI agents in the AgentWorld simulation economy

Generates AI-powered MLB game predictions using simulation state data including active agents, economy stats, and treasury balance

Computes a daily sum time series and a secondary-measure weighted mean over up to 200 supplied aggregation check rows (source_sum, aggregate_sum), returning two analytical reports.

Produces two analytical reports for aggregation check records: a grouped numeric summary and a numeric row ordering, both computed locally on up to 200 supplied rows of source_sum and aggregate_sum data.

Filters aggregation check records by a numeric interval and produces a date-by-category pivot report, returning two independent analytical reports for up to 200 supplied rows.

Filters aggregation check records by a numeric interval on a chosen field and computes a secondary-measure weighted mean, returning two analytical reports for up to 200 rows.

Runs two local analytical reports on supplied aggregation-check records: numeric row ordering and date-by-category pivot, for up to 200 rows.

Sorts aggregation check rows numerically and fills missing source_sum or aggregate_sum values using zero, mean, or median imputation, producing two analytical reports for up to 200 rows.

Runs two analytical reports on supplied aggregation-check records: numeric row ordering and secondary-measure weighted mean, for up to 200 rows.

Analyzes aggregation check records by computing numeric row ordering and a trailing mean series for source_sum or aggregate_sum values across up to 200 rows.

Computes a weighted mean on a secondary numeric measure and produces a date-by-category pivot table for up to 200 supplied aggregation-check rows.

Computes a secondary-measure weighted mean and fills explicit missing values for up to 200 aggregation-check records (source_sum, aggregate_sum)

Analyzes caller-supplied search result data to assess evidence coverage and return a structured analysis with warnings about data provenance.

Vets and monitors a specific service offering on the aicomglobal trust commons, returning a trust assessment anchored to a nonce, subject, tier, and offering ID.

Returns a signed acknowledgment confirming the Ailabra profit-ledger service is reachable, including service identity, network, and a unique request ID, behind a $0.01 USDC x402 micropayment gate.

Purchases a 7-day access token for Aizamon's security intelligence feed, returning a timed feed token via the x402 micropayment protocol

Returns a curated set of security-adjacent 'edge' topic cards for agent consumption, billed per call via x402.

Looks up blockchain wallet address metadata including exchange label, risk signals, balance, and transaction count for a given address

Returns install lifecycle hook metadata for the npm package 'ajv', useful for integration and upgrade planning.

Performs string normalisation and base-100 index series computation on supplied alert triage records (alert_count, confirmed_events) for up to 200 rows.

Normalises string fields and orders rows numerically for alert triage records (alert_count, confirmed_events) across up to 200 rows, returning 2 analytical reports.

Provides AI-powered DeFi advisory analysis and recommendations based on a natural language query, covering decentralized finance strategies and insights.

Analyzes sentiment of a given text query and returns a sentiment score or classification

Fetches newly listed trading pairs from crypto markets, with a focus on tokens recently launched on Base and Solana.

Accepts a natural language or structured query about a company and returns company-related data via a unified multi-domain API platform.

Returns a random or queried dog image via a unified micro-payment API endpoint

Fetches currency or crypto exchange rate data via a simple natural-language query input for $0.01 per call

Returns GDP data for a given country or region via a natural language query

Returns weather data for a given query string via a unified $0.01 micro-payment API endpoint.

Returns newly listed cryptocurrency trading pairs, likely from DEX or CEX sources, via a unified micro-payment API

Searches and retrieves clinical trial data based on a natural language or structured query

Unified search endpoint across 60 data categories including crypto, medical, macro, stocks, and utilities via a single natural-language query

Accepts a natural language query about a drug or medication and returns relevant medical/pharmaceutical information

Fetches trending data across crypto, stocks, medical, macro, or utility domains via a unified query interface at $0.01 per call.

Retrieves product recall information based on a natural language query, covering FDA, CPSC, and other regulatory recall databases.

Returns financial, crypto, medical, macro, or utility indicator data based on a natural language query via a unified low-cost API.

Summarizes a given text or query input using a unified micro-payment API at $0.01 per call

Accepts a natural language or structured query and returns indicator data spanning crypto, medical, macro, stocks, and utility domains at $0.01 per call.

Provides DeFi (decentralized finance) advisory responses via a natural language query interface, supporting both Base and Solana chains.

Returns weather data for a given query via a unified low-cost API platform at $0.01 per call

Returns earnings data (e.g. corporate earnings reports, EPS, revenue) for a given query via a unified mega-API platform at $0.01 per call.

Fetches current or historical exchange rate data for currency or asset pairs via a unified text query interface

Unified multi-domain API accepting a natural language query and routing it across 60 endpoints covering crypto, medical, macro, stocks, and utility data at $0.01 per call

Accepts a natural language query about drugs or medications and returns structured medical/pharmaceutical information.

Accepts a natural language query and routes it to one of 60 unified data endpoints spanning crypto, medical, macro-economics, stocks, and utility topics at $0.01 per call

Returns current price data for a queried asset (crypto, stock, or other) via a unified low-cost API endpoint

Binds alloy measurement rows to their exact dataset, material, lot, method, source-revision, and content manifests to establish data provenance chains for supplied records.

Validates that supplied alloy lot/method/composition-basis records exactly match declared owner, subject, revision, and allowed scope labels, flagging any scope boundary violations without granting access or certification.

Returns a risk score for a given entity (wallet, token, or transaction) on the AmanChain quantum-resistant blockchain network

Executes transactions and interactions on the AmanChain quantum-resistant blockchain via the x402 payment protocol, enabling post-quantum-secured on-chain operations with AMAN native coin

Computes adjacent row changes and secondary-measure weighted mean for animation clip records (frame_count, duration_seconds) across up to 200 rows, returning two independent analytical reports.

Computes a Base-100 index series and secondary-measure weighted mean for animation clip data (frame_count, duration_seconds) across up to 200 rows.

Analyzes supplied animation clip records to produce a duplicate key report and a grouped numeric summary for frame_count or duration_seconds fields.

Computes grouped numeric summary statistics and a secondary-measure weighted mean for animation clip records (frame_count, duration_seconds), returning two analytical reports for up to 200 rows.

Runs three local analytical reports on animation clip records: a record quality audit, exact row deduplication, and numeric row ordering by frame_count or duration_seconds.

Audits animation clip records for data quality and filters rows by a numeric interval on frame_count or duration_seconds, returning two independent analytical reports for up to 200 rows.

Runs three local analytical reports on animation clip records: record quality audit, string normalisation, and date-by-category pivot for frame_count or duration_seconds fields.

Performs record quality audit, string normalisation, and two-measure correlation analysis on animation clip records (frame_count, duration_seconds) for up to 200 rows, returning three independent analytical reports.

Runs a record quality audit and a trailing mean time series on animation clip data (frame_count or duration_seconds) for up to 200 rows, returning two independent analytical reports.

Audits record quality and computes two-measure correlation (frame_count vs duration_seconds) for up to 200 animation clip records, returning two independent analytical reports.

Computes a secondary-measure weighted mean and performs a keyed dataset comparison on two supplied sets of animation clip records (frame_count, duration_seconds), returning two analytical reports.

Normalises strings and deduplicates exact rows in animation clip records (frame_count, duration_seconds), returning two analytical reports for up to 200 rows.

Normalises string fields and compares two keyed animation clip datasets (frame_count, duration_seconds) producing two analytical reports for up to 200 rows each.

Compares the health attributes of two or more foods based on a search query

Summarizes a given text or query input into a concise summary using AI

Verifies whether a given hash value matches expected input data or a known hash standard