289 Services from status.agentdiet.dev

Fetches a web page by URL and converts its HTML content to clean, compressed Markdown, achieving up to 91%+ token compression for LLM context windows.

Fetches a URL and strips semantic HTML down to its essential content, compressing context window token usage by up to 91%

Fetches a URL and converts the web page content to compressed, token-efficient Markdown for AI context windows

Fetches a URL and returns a compressed, token-efficient extraction of its article content with a compression ratio proof

Extracts and compresses risk factor disclosures from SEC EDGAR 10-K filings for a given stock ticker, returning a distilled summary with high compression ratio.

Fetches a webpage and distills it into a compressed, token-efficient representation suitable for AI agent context windows

Fetches a URL and strips HTML down to essential content, achieving up to 91%+ token compression for AI context windows

Fetches and distills a web page URL into a compressed, token-efficient representation, achieving up to 91% compression ratio for AI agent context windows

Extracts and compresses a Shopify store's product catalog into a token-efficient, distilled format for AI agent consumption

Fetches and compresses a public company's SEC EDGAR 10-K annual report into a token-efficient summary, achieving ~91% compression ratio for AI agent context windows

Fetches a URL and returns a heavily compressed, distilled Markdown version of the content to reduce token consumption in AI agent context windows

Extracts and distills text content from a PDF URL, compressing it for token-efficient agent consumption

Fetches a URL and compiles/distills its content into a compressed llms.txt-format context window artifact, achieving up to 91% compression ratio.

Fetches a URL, strips paywalls and boilerplate, and returns a heavily compressed clean-text extraction with a compression ratio proof

Searches arXiv for academic papers by query and returns distilled, token-compressed results

Fetches a real-time velocity/trending signal for HackerNews stories, returning compressed intelligence about which topics are gaining momentum on HN.

Scans a PyPI package name for known security vulnerabilities and returns structured vulnerability data.

Fetches and returns a compressed, token-efficient summary of the current top stories from Hacker News via a paid micro-API.

Fetches and summarizes arXiv machine learning papers into a compressed, token-efficient summary via a pay-per-call API

Fetches and distills ArXiv paper content into a compressed, token-efficient summary for AI agents, reducing context window usage by up to 91%

Looks up known CVEs (security vulnerabilities) for a specified Go module package name

Compresses and distills a URL's content into a token-efficient summary, reducing context window bloat by up to 91% for AI agents

Scans an EVM or Solana blockchain address to detect potential rug-pull risk signals for a given token or contract.

Compresses and distills AI agent context windows to reduce token count by up to 85-91% while preserving semantic content

Returns current Federal Open Market Committee (FOMC) interest rate decision odds and probability data for upcoming Fed meetings.

Fetches and distills a compressed digest of ArXiv research papers based on a query, reducing token usage by up to 91% via context compression.

Fetches current Aave V3 lending/borrowing yield rates for specified assets via a micropayment-gated API

Compresses and distills a URL's content by up to 85-91% fewer tokens, stripping bloat so AI agents can process it efficiently within tight context windows.

Fetches and returns distilled EDGAR SEC filing data for a given stock ticker, compressed for minimal token usage.

Fetches a URL and strips its DOM down to a compressed, token-efficient text representation, achieving up to ~91% compression ratio for AI agent context windows.

Retrieves and distills SEC EDGAR filings data for a given stock ticker, compressing the context for efficient agent consumption.

Compresses and distills AI prompt/context window content to reduce token count by up to 85-91% while preserving semantic meaning

Fetches and distills a URL's content into compressed RAG-ready chunks, reducing token usage by up to 91% for AI context windows

Scrapes product data from an e-commerce store URL and returns compressed, structured product information

Verifies email deliverability by checking MX (mail exchange) records and related deliverability signals for a given email address

Compresses and distills AI context windows via URL fetch, returning a de-bloated version with up to 91% token reduction

Fetches live prediction market odds from Polymarket, delivered as a compressed, token-efficient feed for AI agents.

Extracts and distills search engine results page (SERP) data from a query, compressing the output by ~91% for token-efficient agent consumption.

Compresses and distills AI agent context windows by fetching and de-bloating web content to reduce token usage by up to 85-91%

Compresses and de-bloats RAG context text to reduce token count by up to 85-91% before feeding it into an LLM context window

Performs a web search query and returns compressed, token-efficient results via a pay-per-call x402 micropayment endpoint

Repairs and cleans malformed JSON strings, returning a valid JSON object with compression metadata.

Fetches a URL and returns its content as compressed, token-efficient markdown, stripping bloat to reduce context window usage by up to 91%.

Fetches and compresses an academic or web paper into a distilled, token-efficient summary using context window compression techniques.

Scans a GitHub repository and returns a distilled, token-compressed analysis via AgentDiet's context-window optimization pipeline, paid per-call in USDC.

Fetches and compresses SEC filings for a given ticker symbol, returning a context-window-optimized summary with ~91% token compression

Fetches and distills competitive intelligence data from a Shopify store URL, returning compressed structured data about the store.

Checks whether a given email address belongs to a disposable or temporary email provider

Fetches and returns distilled HackerNews trending topics, compressed to reduce token consumption for AI agents.

Fetches a web document URL and converts it to compressed, token-efficient Markdown, stripping bloat for AI context windows

Normalizes and de-bloats raw JSON input, compressing it to a leaner representation while preserving semantic content — achieving up to 91%+ compression ratio.

Audits an email domain's SPF and DMARC DNS records for correctness, configuration issues, and email authentication compliance.

Performs a WHOIS lookup on a given domain name, returning registration and ownership data for that domain.

Repairs and parses malformed or broken JSON strings, returning a valid, healed JSON object.

Fetches and returns search engine results page (SERP) data for a given query, paid via x402/USDC on Base

Fetches and compresses SEC 10-Q quarterly filings for a given stock ticker, returning distilled financial data with ~91% token compression

Runs a web search query through multiple search engines and returns grounded, distilled results optimized for minimal token usage in AI agent context windows.

Fetches a compressed, token-efficient feed of Polymarket prediction market data via AgentDiet's context distillation layer

Accepts malformed or bloated JSON via query parameter and returns a cleaned, fixed, compressed JSON object with a compression ratio proof

Validates and repairs malformed or bloated LLM-generated JSON against a schema, returning a cleaned, schema-compliant JSON object with compression metrics.

Performs combined DNS, WHOIS, and TLS certificate reconnaissance on a given domain name, returning structured intelligence data.

Performs open-source intelligence (OSINT) reconnaissance on a given domain name, returning structured intelligence data about that domain.

Fetches Google search engine results page (SERP) data for a given query, paid per-call via x402 USDC micropayment on Base.

Fetches current Polymarket prediction market odds, optionally filtered by topic, via a pay-per-call x402 endpoint

Fetches current Pendle Finance Principal Token (PT) yield data, optionally filtered by asset, via a pay-per-call x402 endpoint.

Fetches current Aerodrome Finance liquidity pool data on Base, compressed and distilled for AI agent context windows.

Validates an email address and returns a structured validation result via a pay-per-call USDC-settled API

Scans an npm package for known security vulnerabilities and returns a structured vulnerability report

Validates raw JSON input and returns a structured validation result with compression ratio proof

Searches and fact-checks a query, returning verified information with context compression and an ROI proof of compression ratio

Monitors and returns centralized exchange inflow data for a given crypto asset symbol, signaling potential selling pressure or market movements.

Compresses and distills AI agent context windows, reducing token usage by up to 91% via a paid MCP-compatible gateway endpoint

Performs OSINT lookup on a domain, returning compressed intelligence data with up to 91% token compression ratio

Looks up company information by domain name, returning structured company data with context compression metadata.

Compresses and distills AI context windows into structured JSON output, reducing token usage by up to 85-91% via deterministic de-bloating.

Compresses and digests large agent context windows, reducing token count by up to 85-91% while preserving essential information.

Executes a query against a distributed intelligence swarm that compresses and distills AI context windows, reducing token usage by up to 85-91%.

Searches and extracts distilled, token-efficient content from web sources via a context-compression pipeline, returning highly compressed data with ROI proof.

Fetches and returns SEC Form 4 insider trading filing data for a given stock ticker symbol

Verifies whether an HTTP URL is behind an x402 or MPP paywall and returns proof of access with compression ratio metrics

Fetches and distills ecommerce store intelligence from a given store URL, returning compressed, token-efficient competitive data

Search for available AI tools and capabilities within the AgentDiet context-compression and agent execution network

Compresses and distills AI agent context windows via HTTP execution, reducing token usage by up to 85-91% while preserving semantic fidelity

Scans a software package for EPSS (Exploit Prediction Scoring System) vulnerability scores and returns compressed, distilled security risk data.

Compresses and distills AI agent context windows to reduce token usage by up to 85-91%, paid per-call via x402 in USDC on Base

Routes A2A/MCP agent queries through a context-distillation node that compresses token payloads by up to 91% before returning results

Returns grounded, citation-backed query results with context compression, reducing token usage by up to 91% compared to raw context

Performs a real-time web search query and returns compressed, token-efficient results via a pay-per-call API settled in USDC on Base.

Fetches the current annual percentage yield (APY) for a Morpho vault, optionally filtered by asset.

Checks a blockchain address for honeypot characteristics, returning a risk assessment for the given smart contract or wallet address.

Compresses and distills AI context windows to reduce token usage by up to 85-91% before passing content to LLMs

Compresses and filters incoming text prompts to reduce token count by up to 91% before passing them to downstream AI agents or LLMs.

Enriches a company domain with structured business intelligence data, returning compressed, token-efficient results

Compresses and distills LLM context windows by stripping bloat, reducing token usage by up to 85-91% while preserving semantic content

Returns onchain risk assessment data for a given blockchain address, settling payment in USDC on Base via x402.

Compresses and distills AI agent context windows via a pay-per-call x402 endpoint, returning de-bloated token-efficient output with a compression ratio proof.

Retrieves CVE (Common Vulnerabilities and Exposures) security intelligence data, optionally filtered by software package name.

Compiles and distills AI context windows via MCP, reducing token usage by up to 85-91% through deterministic compression

Audits a GitHub repository and returns a compressed, token-efficient intelligence summary with a compression ratio proof

Audits a repository's dependencies and returns a compressed, token-efficient report with compression ratio proof for AI agent context windows.

Performs a preflight status/readiness check on the AgentDiet context-compression node, returning service health and compression capability metadata.

Validates and certifies a URL endpoint before context distillation, returning a compression ROI proof and preflight status for A2A/MCP workflows.

Scans a given domain and returns a list of discovered subdomains with associated intelligence data.

Retrieves CVE (Common Vulnerabilities and Exposures) vulnerability data for a given package via a pay-per-call API settling in USDC on Base.

Executes a web search query and returns compressed, token-efficient SERP results via a pay-per-call micropayment API

Scans text for jailbreak attempts or adversarial prompt injections and returns a safety assessment

Scans and shields a text prompt for injection attacks or policy violations, returning a cleaned or flagged result with compression metrics

Repairs and validates malformed or bloated JSON schemas passed as raw input, returning a cleaned schema with compression metrics

Compresses and distills long AI context windows or documents into compact digests, reducing token usage by up to 85-91%

Accepts raw JSON context data via GET and returns a repaired, compressed version with up to 91% token reduction, settling payment in USDC on Base via x402.

Looks up CVE (Common Vulnerabilities and Exposures) vulnerability data for a given software package via a pay-per-call API.

Routes and distills AI agent context windows via MCP, compressing token payloads by up to 91% before passing them through a 25-node intelligence network

Queries the AgentDiet A2A mesh node to distill and compress AI context windows, reducing token usage by up to 91% via deterministic compression, settling payments in USDC on Base.

Routes agent-to-agent (A2A) and bot-to-agent (B2A) HTTP requests through a context compression and distillation node that reduces token usage by up to 85-91%

Analyzes a stock ticker's 10-K filing and returns a compressed, token-efficient summary with a documented compression ratio as ROI proof.

Runs a DeFi token due-diligence analysis workflow for a given token contract address, returning compressed intelligence with a compression ratio proof.

Scans a blockchain address to detect tax honeypot characteristics in crypto tokens or contracts

Scans a given HTTP URL to detect and analyze paywalls, returning compression/ROI metadata about the paywall structure.

Performs a security operations audit of a GitHub repository, returning compressed intelligence findings with a documented compression ratio.

Analyzes a code repository for security vulnerabilities and returns compressed security intelligence with ROI compression metrics

Analyzes a blockchain address to detect signs of a rugpull scam on-chain

Scans a GitHub repository for exposed secrets, credentials, or sensitive data leaks

Performs DNS reconnaissance on a given domain, returning structured DNS record data via a pay-per-call API settling in USDC on Base.

Scans and guards system prompts for token bloat, compressing and distilling context to reduce token usage by up to 91%

Scans a Git repository for supply chain security risks and returns a compressed analysis with compression ratio proof

Fetches and distills web content through a RAG-shielded DAG pipeline, compressing context by ~85-91% before returning it to AI agents

Retrieves a compressed, token-efficient summary of recent events or market data (optionally filtered by ticker) with a reported ~91% compression ratio for AI context windows

Scans text input for prompt injection attempts and returns a safety verdict with compression/distillation metadata

Returns a compressed, token-efficient research digest by distilling input queries into a summarized intelligence output, reducing context window bloat by up to 91%.

Enriches a company domain with founder and company intelligence data using AgentDiet's A2A context-distillation pipeline

Scans input text for prompt injection attempts to protect AI agent context windows from malicious or bloated inputs

Fetches a distilled, token-compressed feed of robotics research papers from ArXiv, returning structured summaries optimized for AI agent context windows.

Compresses and distills AI agent context windows by removing token bloat, returning a leaner version of the input context with up to 91% compression ratio.

Compiles and retrieves an MCP schema for a target endpoint using AgentDiet's TDQS (Token Diet Query Schema) system, returning a compressed/distilled schema representation with compression ratio proof.

Looks up open-source software vulnerability data (OSV/CVE) for a given package, returning security advisory information in a compressed, token-efficient response.

Fetches insider trading data, optionally filtered by ticker symbol, for a given stock.

Fetches compressed, token-distilled alpha intelligence from Polymarket prediction markets, returning high-signal data with verified compression ratios

Audits and distills AI context windows, returning compression ratio proof and de-bloated output via a paid MCP-compatible HTTP node

Compresses and distills AI context windows by removing bloat, reducing token count by up to 91% while preserving essential information

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

Compresses and distills AI agent context windows and workflows to reduce token usage by up to 91% via a paid micropayment endpoint

Scans text input for prompt injection attacks and returns a security verdict with compression/detection metadata

Fetches on-chain whale activity data for tokens on the Base DEX network, optionally filtered by symbol.

Scans and compresses LLM context/text input to strip bloat, achieving up to 85-91% token reduction while preserving semantic content

Routes agent queries through a 25-node swarm to compress and distill AI context windows, reducing token usage by up to 85-91%

Compresses and distills AI agent context windows, reducing token usage by up to 85-91% for A2A/MCP workflows, paid via USDC on Base.

Fetches Uniswap V3 liquidity depth data for a given token, distilled and compressed for AI agent context windows.

Extracts and distills news content from the web via a query parameter, compressing it for token-efficient agent consumption

Fetches a compressed, token-efficient pulse/digest of Hacker News content with a reported ~91% compression ratio

Performs an SSL/TLS certificate audit for a given domain and returns security and compression metrics

Streams compressed, token-efficient Polymarket prediction market data for a given topic via a distilled context feed

Fetches and distills a GitHub repository's context into a compressed, token-efficient summary via a paid A2A/x402 endpoint

Fetches and distills AI research paper intelligence, returning compressed summaries with token-reduction proof for agent context windows.

Streams a distilled, token-compressed version of a target HTTP resource, reducing context window usage by up to 91% for AI agents

Compresses and distills AI agent context windows by up to 91% via a paid mesh dispatch endpoint, reducing token usage while preserving semantic fidelity.

Scans a Maven package for known security vulnerabilities and returns structured findings

Fetches and compresses live web content for agent context windows, returning distilled information with compression ratio proof

Compresses and distills AI context windows to reduce token usage by up to 85-91% via a paid micro-transaction endpoint

Performs a fused web search combining Brave and Google results, returning compressed, token-efficient search output for AI agents

Audits a GitHub repository and returns a compressed, token-efficient analysis with compression ratio proof

Validates whether an email address is legitimate and deliverable via a paid micro-transaction API

Looks up the technology stack information for a given domain, returning structured data about the technologies detected.

Runs a security gate workflow against a code repository to validate it is safe to release, returning a compressed analysis result with compression ratio proof.

Scans a domain's TLS/SSL certificate configuration and returns security details about the HTTPS setup

Fetches and distills compressed intelligence data about a Shopify store via a pay-per-call x402 endpoint

Distills and compresses AI context windows by filtering injected or bloated text, returning a leaner payload with a compression ratio proof.

Routes A2A/MCP requests through a context-distilling node that compresses AI agent context windows by up to 91% to reduce token costs

Retrieves a compression benchmark for a given store URL, reporting the context window reduction ratio achievable by AgentDiet's AI de-bloating pipeline.

Verifies x402 HTTP payment requests and confirms proof-of-payment for API access, returning compression ROI proof metadata.

Retrieves narrative tracking and context compression status/ROI proof from the AgentDiet AI context de-bloating service

Fetches DEX pool liquidity data and intelligence for a specified token, paid per-call via x402/USDC on Base.

Returns a live sector rotation feed for investment/market intelligence, delivered as a compressed, token-efficient JSON payload.

Fetches compressed, token-efficient DEX screener data for a given token via the AgentDiet context-distillation network, settling payment in USDC on Base.

Scans a token and returns compression/analysis data with ROI proof showing context window reduction ratio

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

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

Enriches a domain with lead intelligence data, returning structured business/contact information compressed for token efficiency.

Checks a crypto wallet or contract address for rug-pull risk signals and returns a safety assessment with compression/ROI proof metadata.

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

Returns probabilistic odds and intelligence data for geopolitical events or topics via a pay-per-call API.

Returns smart money flow data for a given asset symbol, delivered as a compressed, token-efficient payload via a pay-per-call x402 API.

Fetches and returns a compressed, token-efficient llms.txt representation of the AgentDiet service for AI agent context consumption

Executes HTTP-based A2A/MCP broker queries that compress and distill AI context windows, returning deduplicated, token-reduced data with compression ROI proof.

Returns the agent card metadata and status for the AgentDiet context-distillation service node, including compression ROI proof.

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

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

Verifies and validates MPP (Micropayment Protocol) compliance and context compression ROI for a given HTTP URL, returning compression ratio proof and status.

Distills and compresses AI agent context windows to reduce token usage by up to 85-91%, brokering tool calls via x402 micropayments on Base.

Retrieves domain intelligence data for a given domain, delivered as a compressed, token-efficient payload via a pay-per-call x402 API.

Looks up enterprise firmographic data for a given domain, returning company intelligence data with token-compressed output via AgentDiet's context distillation pipeline.

Audits a URL's HTTP content for token compression ROI, returning a compression ratio proof showing how much context window reduction AgentDiet would achieve

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

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

Checks a blockchain address against known honeypot indicators to detect malicious or fraudulent smart contracts/wallets.

Lists and discovers available agent tools and AI capabilities in the AgentDiet marketplace, returning compressed/distilled marketplace data with ROI compression proof.

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

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

Performs a Know Your Transaction (KYT) compliance check on a wallet address, returning risk and transaction intelligence data.

Retrieves token-pair analytics data including compression ratio and ROI proof from the AgentDiet context distillation network

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

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

Scans text input for AI tool-poisoning attempts and returns a safety verdict with compression/distillation metadata.

Returns the catalog of available intelligence nodes and capabilities offered by the AgentDiet broker network

Audits a software repository's Software Bill of Materials (SBOM) and returns a compressed, token-efficient analysis with compression ratio proof

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

Returns a risk assessment or node health/status data for an address via the AgentDiet A2A intelligence network, paid per-call in USDC on Base.

Returns account intelligence data for a domain, including context compression metrics, via a pay-per-call x402 endpoint settling in USDC on Base.

Retrieves SKU-level intelligence and context compression analytics for a given store, returning compressed data with ROI proof of token reduction.

Fetches perpetuals funding rate alpha data via a pay-per-call x402 endpoint, returning compressed intelligence data with ROI proof.

Returns smart money and whale wallet activity radar data for a given cryptocurrency symbol

Returns probabilistic likelihood scores for specified topics or events, delivered via a pay-per-call x402 endpoint settling in USDC on Base.

Returns current election odds or prediction market data for a given topic via a paid API endpoint.

Filters and validates MCP (Model Context Protocol) injections to protect AI agent context windows from bloat and malicious content.

Fetches and compresses SEC financial data (optionally by ticker) with a reported 91% compression ratio, returning distilled context optimized for AI agent token budgets

Runs a B2B OSINT directed acyclic graph query via a 25-node intelligence pipeline, returning compressed and distilled results with a compression ratio proof.

Scans a given HTTP URL or MCP endpoint for security vulnerabilities and returns a compressed security analysis report

Retrieves compressed, token-efficient institutional 13F filing data for a given ticker symbol via a distilled context window

Screens and validates prompt text for safety or compliance issues before passing it to downstream AI agents

Returns developer sentiment analysis data for a given query via the AgentDiet intelligence network

Compresses and distills AI agent context windows via a universal MCP gateway, reducing token usage by up to 85-91% through deterministic context de-bloating

Executes a workflow that distills and compresses AI agent context windows, reducing token usage by up to 85-91% via a 25-node processing pipeline

Retrieves zero-day security advisory data from the AgentDiet intelligence node, optionally filtered by package, returning compressed/distilled threat intelligence with a compression ratio proof.

Audits and validates an HTTP URL through the AgentDiet x402-compliant context distillation node, returning compression ROI proof and status for A2A/MCP workflows.

Returns the discovery manifest for the AgentDiet context-window distillation and token-reduction service node, describing its capabilities and compression metrics.

Scans and returns cross-chain annual percentage yield (APY) data for crypto assets, settling payment in USDC on Base via x402.

Retrieves firmographic data for a given domain via the AgentDiet AI context distillation network, settled in USDC on Base.

Benchmarks a DTC (direct-to-consumer) merchant store URL and returns a performance/ROI proof including context compression ratio metrics

Retrieves email-related context distillation or email lookup data via the AgentDiet token-compression platform

Tracks large cryptocurrency wallet movements (whales) for a given token symbol, returning on-chain activity data

Enriches a domain with B2B intelligence data, returning compressed structured data with a compression ratio proof.

Enriches a B2B domain with company and lead intelligence data via a paid-per-call workflow node, returning structured data with compression ratio proof.

Checks whether a URL or HTTP resource is behind a paywall and returns compression/distillation ROI proof for context window optimization

Fetches prediction market data for a given topic via a pay-per-call x402 endpoint, returning compressed intelligence with a compression ratio proof.

Assesses the upgrade risk profile of a given blockchain proxy contract address, returning a risk analysis with compression metadata.

Fetches macro-level odds or intelligence data on a given topic, compressed and distilled for agent context windows via AgentDiet's token-reduction pipeline.

Runs a deterministic security audit directed acyclic graph (DAG) over submitted context, returning findings and a compression/ROI proof

Validates an HTTP endpoint for MCP (Model Context Protocol) compliance and returns a compression ratio proof of how much context can be reduced

Returns current DeFi APY (annual percentage yield) data for a specified asset via a pay-per-call x402 endpoint settling in USDC on Base.

Scans a repository for license compliance issues and returns a compressed compliance report with ROI/compression proof

Retrieves earnings-related risk factor data for a given stock ticker, served via a pay-per-call x402 micropayment endpoint.

Scans and returns APY (Annual Percentage Yield) data for liquidity pool assets, accessible via micropayment on Base.

Compresses and distills AI agent context windows to reduce token usage by up to 85-91% via a paid A2A mesh node

Retrieves compressed, distilled crypto alpha intelligence from a directed acyclic graph (DAG) execution node, returning high-signal data with up to 91% context compression ratio.

Retrieves a list or data about LLM benchmark papers, compressed for token efficiency, via the AgentDiet context distillation service.

Scans and returns liquidity data for the AgentDiet A2A/MCP node network, including compression ROI proof metrics

Returns company/node status and metadata for the AgentDiet context-distillation service, including a compression ROI proof.

Executes an HTTP-based bundle request through AgentDiet's context compression and distillation pipeline, returning de-bloated output with up to 91% token compression ratio proof.

Returns firmographic data for a B2B company/domain, including business intelligence signals for sales and marketing enrichment.

Fetches DeFi market signals and intelligence data for a specified target, delivered as compressed, token-efficient JSON output.

Returns a prediction or intelligence result for a given topic, with a reported compression ratio as proof of context distillation efficiency.

Validates or checks an email address via the AgentDiet API, returning a structured result with status confirmation

Retrieves Raydium DEX liquidity data for a specified token via a pay-per-call x402 API settling in USDC on Base.

Returns token-level intelligence and compression metadata for a given token, including ROI proof of context compression ratio.

Returns large cryptocurrency transaction (whale alert) data, optionally filtered by token symbol, via a paid API endpoint.

Retrieves certificate transparency log data for a given domain, returning SSL/TLS certificate issuance records with compression ROI proof.

Returns DeFi yield data for a specified asset via a pay-per-call x402 API settling in USDC on Base

Returns aggregated DeFi yield data for a given asset, with a compression ratio proof indicating token reduction efficiency.

Scans decentralized exchange data for a given token, returning compressed intelligence with a verifiable compression ratio proof

Returns current APY (annual percentage yield) data and yield intelligence for a queried crypto asset, with compression ratio proof.

Scans a blockchain address for owner-privilege vulnerabilities or access rights within the AgentDiet AI context distillation network

Fetches decentralized exchange liquidity data for a specified token, paid per-call via x402/USDC on Base.

Returns momentum signals for a specified target, delivered as compressed intelligence data with ROI proof of context compression ratio.

Returns current tech trend data and intelligence via a paid API endpoint, with context compression metadata indicating compression ratios

Checks the mint authority status for a given address on the AgentDiet USDC-on-Base payment and context-distillation node

Estimates slippage for HTTP GET or POST requests processed through the AgentDiet context compression pipeline, returning a compression ratio proof.

Verifies and processes HTTP endpoint requests through the AgentDiet bazaar pipeline, returning compressed/distilled context with a compression ratio proof.

Analyzes text input to detect and defend against LLM jailbreak attempts, returning a defense assessment with compression/ROI proof.

Fetches Solana whale flow data (large transaction monitoring) for a given token symbol, delivered as a compressed intelligence node response.

Checks a given blockchain address for flash loan vulnerability exposure using static or dynamic analysis

Fetches crypto alpha intelligence data via a deterministic A2A/MCP node, returning compressed context with ROI compression proof

Returns the live status and DEX node information for the AgentDiet context-compression and token-distillation service, including compression ROI proof.

Returns token liquidity data and compression ROI proof for the AgentDiet context distillation network

Scans and returns yield opportunities or ROI metrics for a specified asset, with compression ratio proof

Scans a blockchain address and returns bytecode analysis data with compression/ROI proof metrics

Returns the agent manifest for the AgentDiet context-distillation service, describing available nodes, compression capabilities, and service status.

Validates an email address and returns a compression/ROI proof metric showing context distillation efficiency

Returns current stablecoin yield data and ROI proof for DeFi yield opportunities, accessible via x402 micropayment on Base.

Returns tracked YC (Y Combinator) launch data and status information via the AgentDiet intelligence node, paid per-call in USDC on Base.

Fetches market odds data for a given topic via a pay-per-call x402 endpoint settling in USDC on Base.

Scans a software package for known vulnerabilities and returns a security assessment with compression/ROI metadata.

Returns real-time DEX liquidity depth data for a specified token, paid per-call via x402/USDC on Base.

Audits a smart contract address for security vulnerabilities and returns a compressed analysis with compression ratio proof

Returns institutional-flow status and context compression metrics (e.g. compression ratio) for the AgentDiet A2A context de-bloating service, identified by an optional symbol parameter.

Fetches current DeFi or crypto lending rates for a specified asset via the AgentDiet x402-gated API

Returns real-time orderflow radar data for a given trading symbol, delivered via a pay-per-call x402 micropayment endpoint.

Returns the x402 compliance status and context compression proof-of-ROI for the AgentDiet distillation node

Checks the security status of the AgentDiet MCP (Model Context Protocol) node, returning compressed context with compression ratio proof

Retrieves current cryptocurrency betting odds data via a paid API endpoint settling in USDC on Base.

Returns autonomous trading alpha signals or status data, framed as a context-distilled intelligence node with ROI/compression proof metrics.