289 Services from rag-diet.agentdiet.dev

Fetches a web page by URL and converts it to clean, LLM-ready Markdown by stripping 85-97% of HTML/DOM boilerplate

Executes live Google News RSS and HackerNews Algolia searches and returns token-pruned, ad-free results optimized for LLM context windows

Fetches a URL and returns clean Markdown, JSON-LD, and extracted tables suitable for RAG pipelines and AI context windows.

Fetches a URL and converts its HTML content to clean Markdown, compressing context by up to 91% for AI agent consumption

Strips 85-97% of HTML token bloat from a URL's content, returning semantically distilled text optimized for AI context windows

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

Fetches and compresses a webpage's content into a token-efficient distillation, reducing context window usage by up to ~91% for AI agents

Fetches and compresses SEC EDGAR 10-K annual report filings for a given ticker symbol, reducing token bloat by ~91% for AI agent consumption.

Extracts and distills risk factor disclosures from SEC EDGAR 10-K filings for a given public company ticker, compressing context by ~91%.

Compresses a URL's content by stripping token bloat, reducing context window usage by up to 91% before passing it to an LLM

Strips and compresses HTML pages to semantically relevant content only, reducing token usage by up to 91% for AI context windows

Fetches and compresses the top HackerNews stories into a token-efficient summary, reducing context window usage by ~91%

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

Strips and compresses HTML/DOM content from a URL to reduce token usage by up to 91% for AI context windows

Extracts clean, distilled article content from a URL, stripping boilerplate to reduce token consumption by up to 85-91%

Fetches a URL and distills its content into compressed, token-efficient markdown, reducing context window usage by up to 91% for AI agents

Fetches a web page (including single-page apps) and converts it to compressed, token-efficient Markdown for AI agent consumption

Fetches and compresses a URL's llms.txt (or web content) into a token-efficient distilled summary with up to 91%+ compression ratio

Compresses and distills web page or document content for AI context windows, reducing token usage by up to 91% via retrieval-augmented generation (RAG) preprocessing

Compresses and distills RAG/context window content via HTTP to reduce token usage by up to 91% before feeding it to an LLM

Fetches a URL and returns a compressed, token-efficient text extraction by stripping boilerplate, ads, and noise — achieving up to 91% compression ratio for agent context windows.

Fetches and distills SEC EDGAR filings for a given ticker symbol, compressing raw filing data by ~91% for token-efficient agent consumption

Compresses and distills web content or context into a token-efficient summary, reducing context window size by up to 91% for AI agents.

Fetches and compresses a GitHub repository's content into a distilled, token-efficient context using RAG-based summarization, achieving up to 91% compression ratio.

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

Fetches and compresses SEC 10-Q quarterly filings for a given ticker, returning distilled financial data with ~91% token reduction for AI context windows

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

Performs a web search and returns results compressed/distilled to reduce token usage by up to ~91%

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

Returns distilled, token-compressed odds and probability data for Federal Open Market Committee (FOMC) interest rate decisions.

Fetches and summarizes machine learning papers from arXiv, compressing them into a token-efficient digest with up to 91% context reduction.

Fetches and compresses LLM-related content from a given URL, distilling it into a token-efficient context window summary with up to 91% compression ratio

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

Fetches live prediction market odds from Polymarket, optionally filtered by topic, with token-compressed output for agent context efficiency.

Repairs and normalizes malformed or broken JSON strings, returning valid, parsed JSON output.

Performs multi-engine web search grounding and returns compressed, distilled results with a high compression ratio to minimize token usage

Repairs and validates malformed or broken LLM-generated JSON against a schema, compressing and healing the output to a valid structure

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

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

Compresses and digests large context windows or RAG content by up to 91%+ to reduce token usage for AI agents

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

Compresses and distills text input by up to 91% to reduce AI context window token usage, returning a compacted representation with a compression ratio proof.

Fetches distilled insider trading data for a given stock ticker, optimized for AI agent context windows via token compression.

Fetches and distills a compressed, token-efficient robotics research feed from arXiv, delivering high-signal summaries at a fraction of the original token cost.

Fetches compressed, token-efficient Polymarket prediction market odds data, optionally filtered by topic

Audits a GitHub repository and returns a distilled, compressed intelligence report with ROI compression metrics.

Enriches a company domain with structured business intelligence data, compressing and distilling the result for token-efficient AI agent consumption.

Fetches and context-distills SEC EDGAR filings for a given stock ticker, returning compressed financial data with ~91% token reduction

Fetches and distills a compressed pulse of trending Hacker News content, returning a high-compression summary with ROI proof of token savings

Fetches and distills ArXiv academic papers into compressed, token-efficient digests using ~91% context compression

Fetches Pendle Finance Principal Token (PT) yield data, optionally filtered by asset, via a pay-per-call x402 API settling in USDC on Base.

Fetches and distills compressed intelligence data about a Shopify store, returning a token-efficient summary with compression ratio proof

Compresses and distills AI context windows by stripping bloat from a given URL's content, reducing token count by up to 91% for downstream LLM calls.

Retrieves and distills institutional 13F filing data for a given stock ticker, returning compressed structured intelligence with a compression ratio proof.

Repairs and cleans malformed JSON strings, returning valid, well-formed JSON with a compression ratio proof.

Scans a GitHub repository's supply chain dependencies for vulnerabilities, risks, or security insights using compressed/distilled analysis.

Performs DNS reconnaissance on a given domain, returning structured DNS record data for security and infrastructure analysis.

Extracts and distills text content from a PDF URL, compressing it by up to 91% to reduce AI agent context window token usage.

Runs a multi-node due diligence workflow on a DeFi token by contract address, returning compressed, distilled intelligence about the token's risk and fundamentals.

Fetches and distills current trending topics and stories from Hacker News into a compressed, token-efficient summary

Fetches and distills a compressed, token-efficient analysis of a public company's 10-K filing by stock ticker

Looks up CVE (Common Vulnerabilities and Exposures) security vulnerability data for a given software package

Fetches and compresses search engine results page (SERP) data for a given query, returning distilled content with up to ~91% token compression ratio

Compresses and distills AI context windows by stripping bloat, reducing token count by up to 85-91% for use in A2A/MCP pipelines

Fetches and returns a distilled llms.txt file for a given URL, compressing context by up to 91% for token-efficient AI agent consumption

Validates an email address and returns validation status, settling payment in USDC on Base via x402

Looks up CVE (Common Vulnerabilities and Exposures) data for a given software package, returning distilled vulnerability intelligence.

Performs a web search (SERP) query and returns results compressed/distilled for AI agent context windows, achieving up to 91%+ token reduction.

Accepts malformed or broken JSON via query parameter and returns a corrected, valid JSON object with a compression ratio proof.

Compresses and sanitizes RAG context text to reduce token usage by up to 91% before feeding it into an AI agent's context window

Extracts and distills news content from the web using a search query, returning compressed, token-efficient structured data via a pay-per-call micropayment endpoint.

Scrapes and extracts structured product data from an e-commerce store URL, returning compressed/distilled product information with context compression metrics.

Fetches a compressed, token-efficient feed of Polymarket prediction market data, filtered by topic, via a pay-per-call x402 micropayment endpoint.

Looks up known CVE (Common Vulnerabilities and Exposures) security advisories for a given Go module package name, returning compressed vulnerability data.

Compresses and distills AI context windows or web content via RAG-based token reduction, returning a de-bloated payload with compression ratio proof

Scans a given URL to detect paywalls and returns a compression/distillation analysis with ROI proof for context window optimization

Audits SPF and DMARC DNS records for a given email address or domain, returning email authentication compliance data.

Compresses and distills AI context windows by fetching a URL and returning a token-reduced summary with compression ratio proof

Compresses and distills AI context windows by up to 91% using RAG-based de-bloating, executed via a micropayment-gated broker endpoint settling in USDC on Base.

Performs a real-time web search and returns a compressed, token-efficient summary of results optimized for AI agent context windows

Looks up known OSV and CVE security vulnerabilities for a given software package, returning distilled vulnerability intelligence at low token cost.

Fetches and distills live web content into a compressed, token-efficient grounded context for AI agents using real-time web search.

Fetches and distills SEC Form 4 insider trading filings for a given stock ticker, compressed for agent context windows.

Fetches a document URL and converts its content to clean, token-efficient Markdown, achieving up to 91%+ compression ratio for AI context windows.

Fetches and distills ecommerce store data from a given store URL, compressing the raw content into a dense, token-efficient intelligence summary

Compresses and sanitizes prompt/context text to reduce token usage by up to 91% before sending to an LLM

Searches ArXiv academic papers and returns distilled, token-compressed results via a paid API endpoint settling in USDC on Base.

Normalizes and compresses raw JSON input, stripping bloat to reduce token usage in AI agent context windows

Fetches and compresses SEC filing data for a given stock ticker, returning a token-efficient distilled summary with ~91% compression ratio

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

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

Fetches and compresses an academic paper or document into a condensed, token-efficient summary with up to 91%+ compression ratio

Compresses and distills AI context windows by removing bloat, reducing token usage by up to 85-91% while preserving semantic meaning.

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

Compresses and guards LLM context windows by stripping bloat from input text, returning a distilled version with up to 91%+ compression ratio

Audits a GitHub repository and returns a compressed, token-efficient summary with compression ratio proof, settling payment in USDC on Base via x402.

Searches ArXiv papers and returns compressed, token-efficient summaries with ~91% context compression ratio

Fetches current Aave V3 lending/borrowing yield rates for a given asset, returned as distilled, token-efficient JSON.

Fetches and compresses web content via a RAG pipeline, stripping bloat to reduce token usage by up to 91% before injecting into an AI context window

Compresses and distills AI context windows by up to 91% using RAG-based de-bloating, reducing token usage while preserving semantic content

Compresses and distills AI context windows by up to 85-91% token reduction via a RAG-based de-bloating execution node, paid per-call in USDC on Base.

Compresses and distills a query's relevant context (e.g. preprint or document content) into a token-reduced digest, returning a high-compression-ratio summary with ROI proof.

Scans a domain to discover and enumerate its subdomains, returning structured results with compression metrics.

Executes a deterministic context-compression bundle that distills bloated AI context windows by up to 85–91%, reducing token usage for agent pipelines

Validates and repairs malformed or non-compliant JSON schemas, returning a corrected schema with compression proof

Analyzes and validates text input for prompt injection or unsafe content before it enters an AI agent's context window

Scans text input for jailbreak attempts or prompt injection patterns, returning a safety verdict with compression metadata.

Validates and certifies whether a given URL's content is eligible for context-window compression/distillation before committing to a full diet run

Retrieves firmographic data for a given domain, returning structured company intelligence with context compression metrics.

Fuses Brave and Google search results into a single distilled, token-compressed response for AI agents

Compresses and distills AI context windows via a query-based mesh dispatch, reducing token usage by up to 85-91% while preserving semantic fidelity.

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

Compresses and distills AI context windows via a query-driven B2A/A2A routing node, reducing token usage by up to 91% and returning distilled data with a compression ratio proof.

Compresses and distills AI agent context windows via an A2A router, reducing token usage by up to 85-91% using RAG-based de-bloating.

Compresses and distills AI agent context windows by up to 91% using a retrieval-augmented distillation pipeline, returning semantically dense, token-efficient results via a paid API settled in USDC on Base.

Audits a code repository's dependencies and returns a compressed, token-efficient dependency analysis with compression ratio proof

Enriches a business domain with compressed, distilled intelligence data while achieving high token compression ratios for agent context windows.

Scans and analyzes a token to measure context window compression ratio and token efficiency for AI agent workloads

Returns a risk assessment for a given address using the AgentDiet RAG-diet intelligence node, settling payment in USDC on Base via x402.

Verifies x402 payment protocol compliance and token-reduction eligibility for HTTP endpoints via a GET request

Scans text for indirect prompt injection attacks before it enters an AI agent's context window

Compresses and distills AI context windows or web content via a paid endpoint, reducing token usage by up to 91% while preserving semantic meaning.

Runs a B2B open-source intelligence directed acyclic graph query, returning distilled, compressed intelligence data about a business or entity.

Scans a blockchain address to detect tax honeypot characteristics and potential scam token traps on-chain

Runs a distilled security-gate workflow against a code repository to detect vulnerabilities and risks before release, returning compressed intelligence with a compression ratio proof.

Fetches CVE (Common Vulnerabilities and Exposures) security intelligence for a given software package, returning compressed threat data with ROI-proof compression metrics.

Compresses and distills AI agent context windows by compiling MCP-formatted inputs, returning de-bloated output with up to 91% token compression ratio.

Compresses and distills AI context windows via a universal MCP/A2A gateway, reducing token usage by up to 85-91% through RAG-style de-bloating

Scans a code repository for license compliance issues, returning compressed audit results with high token-efficiency via RAG distillation.

Compresses and distills a research query into a token-efficient digest, reducing context window bloat by up to 91% via RAG-based summarization

Fetches distilled, token-optimized prediction market data by topic via a pay-per-call micro-payment API

Performs open-source intelligence (OSINT) gathering on a given domain name, returning structured intelligence data with compression metrics.

Looks up the detected technology stack for a given domain, returning compressed intelligence data with a compression ratio proof.

Scans and returns current APY rates for liquidity pool positions, optionally filtered by asset

Analyzes and validates a system prompt or text input for safety, redundancy, and token efficiency, returning a compression/guard report

Compresses and distills AI agent context windows via an x402-gated broker endpoint, reducing token usage by up to 91% for A2A/MCP workflows, settled in USDC on Base.

Tracks and retrieves narrative/context compression metrics for a target, returning ROI proof of token reduction via context window distillation.

Fetches and compresses financial or event data for a given ticker into a token-efficient, distilled context window snapshot with ~91% compression ratio

Audits a software repository's bill of materials (SBOM) by fetching and analyzing its dependency graph, returning structured findings with compression proof.

Looks up firmographic data for a company domain and returns compressed, token-efficient business intelligence about that firm.

Analyzes a blockchain wallet or contract address to detect if it is a honeypot scam on-chain

Compresses and distills AI context windows by up to 91% token reduction via a paid mesh endpoint, settling in USDC on Base

Preflight check that validates a URL or HTTP request configuration before submitting it to the AgentDiet context compression pipeline

Routes queries through an AI context de-bloating pipeline that compresses context windows by up to 91% to reduce token usage in agent workflows

Retrieves centralized exchange (CEX) inflow signals for a given crypto asset symbol to detect potential selling pressure or large capital movements.

Fetches and distills GitHub Security Advisory (GHSA) data for a given package, compressing vulnerability context for efficient agent consumption.

Lists and executes context-compression workflows that reduce AI agent context window token usage by up to 85-91% via deterministic RAG-based distillation

Validates raw JSON input via a GET request and returns validation status with a compression ratio proof

Searches an indexed knowledge base and returns compressed, citation-backed results optimized for minimal token usage in AI agent context windows.

Scans input text for prompt injection attacks and returns a sanitized or validated result with compression ratio proof

Scans a domain's TLS/SSL configuration and returns security findings, settling payment in USDC on Base via x402.

Validates whether an email address is real and deliverable, returning a verification result for a given email query parameter.

Scans decentralized exchange (DEX) data for a given token, returning compressed market intelligence via a context-window-optimized payload.

Scans a code repository for security vulnerabilities and returns a compressed, distilled security analysis report

Audits and returns a USDC cost quote with compression ratio proof for a given HTTP endpoint call through the AgentDiet context distillation service

Performs a fact-checking search query and returns distilled, token-compressed results with a compression ratio proof

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

Detects and filters prompt injection and RAG poisoning attacks from text before it enters an agent's context window

Returns a risk score for a given code repository, analyzing its security and quality posture

Fetches distilled, token-compressed tech trend intelligence via a paid per-call API settling in USDC on Base

Audits and retrieves compression/distillation performance metrics for the AgentDiet context-window reduction service, returning ROI proof including compression ratio statistics.

Returns onchain risk data for a given blockchain address, paid per-call in USDC on Base via x402.

Fetches and distills a velocity/momentum radar of trending Hacker News stories, compressed for minimal token usage in AI agent context windows.

Verifies a URL by fetching and distilling its content through AgentDiet's RAG compression pipeline, returning a compression ratio proof and distilled data.

Compresses and filters prompt/context text to reduce token count by up to 91% before forwarding to downstream LLMs or agents

Fetches whale activity data for decentralized exchanges on the Base blockchain, optionally filtered by token symbol.

Compresses and distills AI context windows by stripping bloat from text or web content to reduce token usage by up to 85-91%

Enriches a company domain with B2B lead intelligence data, returning compressed, high-signal business context via a distilled AI workflow.

Benchmarks a direct-to-consumer (DTC) merchant store URL and returns compressed intelligence data with a context compression ratio proof

Scans input text for prompt injection attacks and returns a detection result with compression/analysis metadata

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

Compresses and distills AI agent context windows via an MCP gateway, reducing token usage by up to 85-91% using RAG-based de-bloating techniques

Scans text for tool-poisoning attacks — malicious prompt injections or adversarial content embedded in tool outputs — and returns a safety verdict with compression metadata.

Streams distilled, token-compressed Polymarket prediction market data for a given topic via a paid micropayment endpoint

Fetches compressed, distilled DEX pool liquidity intelligence data for a given token, optimized for AI agent context windows.

Repairs and validates raw JSON context windows to remove bloat and structural errors, returning compressed, agent-ready output with a compression ratio proof.

Checks whether a given URL is behind a paywall and returns compression/ROI proof for the AgentDiet context distillation service

Compresses and distills text input through an injection firewall to remove bloat and reduce token count by up to ~91% before passing context to an AI model

Audits a smart contract address for security vulnerabilities and risks, returning compressed analysis results with compression ratio proof.

Returns smart money and whale wallet activity signals for a given cryptocurrency symbol, distilled and compressed for agent consumption

Scans an EVM or Solana token/contract address for rug pull risk signals and returns a safety assessment

Verifies email deliverability by checking MX records and related signals for a given email address

Performs a WHOIS lookup for a given domain name and returns registration and ownership information.

Returns compressed domain intelligence data for a given domain, achieving ~91% context compression ratio via RAG-diet distillation.

Returns the discovery manifest for the AgentDiet context-compression service, listing available RAG/context-distillation nodes and their capabilities.

Fetches a compression benchmark for a given store URL, returning a token compression ratio proof demonstrating how much context window reduction AgentDiet achieves.

Verifies and validates an HTTP endpoint's MPP (Micropayment Protocol) compliance and returns a compression ROI proof for context window efficiency claims.

Retrieves distilled, token-compressed earnings risk factor data for a given stock ticker symbol

Compresses and distills JSON context/RAG data into a structured output, reducing token count by up to 85-91% while preserving semantic content.

Searches and extracts distilled, token-compressed content from web or knowledge sources, returning a context-window-friendly payload with up to ~91% compression ratio

Fetches distilled/compressed data about Aerodrome DEX liquidity pools on Base, returning pool information with high context compression

Performs OSINT (open-source intelligence) lookups on a given domain, returning compressed intelligence data with high compression ratio proof.

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

Retrieves grounded, compressed citations from a RAG-distilled context window, reducing token usage by up to 91% while preserving semantic fidelity.

Search for available tools and intelligence nodes within the AgentDiet context-distillation platform using a query string

Compresses and distills AI agent context windows via a RAG-based de-bloating pipeline, returning compressed data with a measurable compression ratio proof.

Fetches and distills a curated radar of recent AI research papers, compressing context for agent consumption.

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

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

Executes a deterministic context-compression workflow that distills and de-bloats AI context windows, reducing token usage by up to 91% via RAG-based distillation.

Looks up company information by domain name, returning enriched business data with compressed context.

Routes and distills AI agent context windows, compressing token usage by up to 91% via a multi-node swarm router

Returns the agent card metadata for the AgentDiet context distillation service, describing its capabilities, pricing, and node configuration.

Audits a GitHub repository for security vulnerabilities and operational risks, returning a compressed intelligence report with high compression ratio.

Compresses and distills AI context windows via streaming, reducing token usage by up to 85-91% for A2A and MCP pipelines

Compresses and distills AI context windows via a pay-per-call x402 gateway, reducing token usage by up to 85-91% while preserving semantic content.

Fetches and compresses SEC filing data for a given ticker, returning distilled context with up to 91% token compression for AI agent consumption

Scans an HTTP/GET or POST endpoint URL for MCP security vulnerabilities and returns a security analysis with compression ratio proof

Fetches distilled zero-day security advisory data with context compression, optionally filtered by package name, returning condensed intelligence with ROI/compression metrics.

Fetches distilled, token-compressed product/SKU intelligence data for a given e-commerce store URL

Returns a distilled, token-compressed sector rotation intelligence feed for AI agents, settling in USDC on Base via x402.

Returns distilled geopolitical odds and risk intelligence for a given topic, compressed for AI agent context windows.

Retrieves company profile and context distillation metadata for a given domain via the AgentDiet RAG-Diet node

Retrieves distilled, token-compressed benchmark paper data for large language models via a paid per-call API settling in USDC on Base.

Scans a blockchain address to detect owner-privilege signals and access control risks, returning compressed intelligence with a compression ratio proof.

Validates and checks an email address, returning a structured result with compression/quality metadata via a micropayment-gated GET endpoint.

Audits an HTTP endpoint for x402 payment protocol compliance and returns compression/ROI proof metrics

Retrieves current election odds data, optionally filtered by topic, via a pay-per-call x402 micropayment endpoint.

Fetches current lending/borrowing rates for crypto assets via the AgentDiet RAG intelligence node, paid per call in USDC on Base.

Retrieves momentum signals for a given target, returning compressed intelligence data with ROI/compression proof via x402 micropayment

Fetches distilled crypto-alpha intelligence data with high compression, reducing token usage for downstream AI agent context windows.

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

Validates an HTTP endpoint's MCP (Model Context Protocol) compliance and returns a compression ROI proof showing token reduction potential

Tracks large cryptocurrency holder (whale) activity for a given token symbol, returning on-chain data with compression metrics.

Scans a blockchain address to analyze its bytecode and returns compressed intelligence data with compression ratio proof

Returns the agent manifest for the AgentDiet RAG-Diet context distillation service, describing its capabilities, nodes, and compression metadata.

Checks whether a given blockchain address is flagged as a honeypot or suspicious contract on-chain

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

Performs a Know Your Transaction (KYT) compliance check on a blockchain wallet address, returning risk/compliance data about that address.

Performs a rug-pull / scam risk check on a given blockchain address, returning a risk assessment with compression proof metadata.

Performs an SSL/TLS certificate audit on a given domain and returns security findings with compression ratio proof.

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

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

Verifies whether an x402/MPP paywall URL is accessible and validates payment-gated HTTP endpoints via a GET request

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

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

Validates an email address by checking its MX (mail exchange) record configuration and returns a verification status with compression proof metadata.

Fetches large-transaction whale alert data for a given cryptocurrency symbol, optionally filtered by asset.

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

Queries certificate transparency logs for a given domain to retrieve SSL/TLS certificate issuance records

Analyzes a blockchain wallet or contract address to detect signs of a rugpull or exit scam

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

Fetches decentralized exchange liquidity data for a specified token, paid via x402 micropayment in USDC on Base.

Fetches distilled, token-compressed SEC intelligence data for a given stock ticker symbol

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

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.

Returns compliance and status information for the AgentDiet context-distillation node, confirming x402 payment protocol readiness and compression capability metadata.

Retrieves distilled macro-odds intelligence data for a given topic, compressed via context-window distillation with reported 91%+ compression ratios

Retrieves token pair analytics data with compression ROI proof from the AgentDiet context distillation platform

Fetches compressed, distilled YC startup launch tracking data with high token efficiency via the AgentDiet context compression node

Retrieves compressed, de-bloated account intelligence data for a given domain, returning a high-compression-ratio distilled context payload via a pay-per-call USDC endpoint.

Browses and queries the AgentDiet agent tool marketplace to discover available AI agent tools and intelligence nodes

Returns a topic-aware prediction or oracle response with compression ratio proof, billed per call in USDC on Base via x402

Compiles and returns a compressed MCP schema with TDQS (Token Diet Query Schema) format, delivering high-ratio context compression for AI agent workflows.

Looks up and distills email-related context, compressing AI agent context windows by up to 91% for a given email address

Retrieves DEX (decentralized exchange) data after compressing AI agent context windows to reduce token usage by up to 91%

Queries a crypto alpha directed acyclic graph (DAG) node that returns distilled, token-compressed intelligence data about cryptocurrency signals with ROI proof metadata.

Runs a deterministic security audit directed acyclic graph (DAG) analysis on a given HTTP request or endpoint, returning compressed audit findings with a compression ratio proof.

Returns current APY (annual percentage yield) data for DeFi/crypto assets, with compression ratio proof included in the response.

Fetches distilled DEX Screener token data via AgentDiet's context-compressed A2A node, returning a compact summary with ~91% compression ratio paid in USDC over x402.

Estimates token slippage/compression ratio for AI context window distillation, returning a compression efficiency proof

Compresses and distills AI context windows (RAG/agent inputs) to reduce token usage by up to 85-91% via a deterministic swarm execution node, billed in USDC on Base.

Fetches Raydium DEX liquidity data for a specified token, returning compressed on-chain market intelligence via a pay-per-call x402 API.

Fetches current stablecoin yield rates and ROI data, optionally filtered by asset, via a pay-per-call x402 API settling in USDC on Base.

Audits a CI/CD workflow configuration from a given repository and returns a compressed, distilled analysis with compression ratio proof.

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

Fetches perpetual futures funding rate alpha signals for a target asset, compressed and distilled for agent consumption.

Returns probability estimates for events on a given topic, with context compression metrics showing token reduction ratios

Checks the mint authority status for a given address on the AgentDiet USDC/Base payment infrastructure

Checks the upgrade risk of a proxy contract address, returning a risk assessment and compression proof for agent context efficiency.

Filters and sanitizes MCP (Model Context Protocol) injections from text input to protect AI agent context windows from prompt injection attacks

Fetches DEX liquidity depth data for a specified token, returning market depth metrics via a pay-per-call oracle endpoint settling in USDC on Base.

Returns autonomous trading alpha signals or data via a paid micro-transaction endpoint on the AgentDiet platform.

Fetches compressed, token-efficient Uniswap V3 order book depth data for a specified token, returning distilled liquidity information with high compression ratio.

Retrieves smart money flow data for a given symbol, compressed and distilled via AgentDiet's context-reduction pipeline, paid per-call in USDC on Base.

Fetches compressed DeFi market signals for a target asset or protocol, returning distilled intelligence with a high compression ratio to minimize token usage.

Retrieves token liquidity data from the AgentDiet RAG context distillation node, returning compression and liquidity metrics.

Fetches real-time orderflow radar data for a given trading symbol, returning compressed market intelligence with a reported ~91% compression ratio.

Retrieves aggregated yield data for a specified asset, returning compression/ROI metrics via a paid x402 API endpoint.

Retrieves compressed, distilled crypto betting odds data via a token-efficient A2A/x402 paid endpoint, returning results with a compression ratio proof.

Fetches DeFi yield data for a specified asset, returning structured ROI and yield information via a micropayment-gated API.

Fetches market odds data for a given topic via the AgentDiet context-distillation intelligence network, settling in USDC on Base.

Analyzes input text to detect and defend against LLM jailbreak attempts using deterministic AI safety techniques

Scans and returns DeFi yield data for a specified asset, with compression ratio proof, via a pay-per-call x402 API settling in USDC on Base

Returns MCP security metadata and compression ROI proof for context window optimization via a paid micro-API

Scans and reports on liquidity data for a specified token, returning compression/ROI metrics via the AgentDiet RAG distillation node

Fetches compressed, de-bloated institutional flow data (e.g. for a given symbol) with a reported ~91% context compression ratio, paid via x402/USDC on Base.

Checks a smart contract address for flash loan vulnerability risks on-chain