Paid services on Base matching “rag”

AgentDiet Semantic Distillation (/v1/distill) — Strips 85-97% of HTML token bloat (https://rag-diet.agentdiet.dev/v1/distill)

Fetch any public web page and return its main readable content as clean Markdown or plain text plus metadata (title), stripping nav/ads/boilerplate (trafilatura). Optional JS rendering via headless browser for SPAs; markdown or text output. Robots-respecting, public content only — the reader/scraper building block for RAG and agent pipelines.

URL to Markdown API for AI agents. Converts a public web page into clean Markdown for LLMs and RAG pipelines: main content only (no nav, ads or scripts), absolute links, plus title, description and language metadata. Suited to AI agents that read, cite or summarize web pages. Respects robots.txt; only successful reads are charged. Search intents: url to markdown, web page to markdown api, web scra

Bulk web search — run up to 5 search queries in one paid call and get ranked results per query (title, URL, snippet, relevance score) as clean JSON. Same news, finance, date-range, country and domain filters as single web search, applied to every query. One payment instead of five for research fan-out, multi-query RAG retrieval and agent planning.

Web search API for AI agents: live Google search results (SERP) for any query as clean JSON, with ranked title, URL, snippet and date, plus the answer box. Search the web or search news only; filter by date (past hour to past year), keep to or leave out up to 5 sites. A fast Google search API / SERP API for grounding, RAG, research, fact checks and finding sources. Results via Serper.

Real-time web search for AI agents. Search the web for current and up-to-date information, news, facts, research, documentation, and sources beyond model training data. Returns ranked structured JSON results with title, URL, description, and position for web grounding, RAG retrieval, research, and fact-finding. Send query, optional limit, and optional freshness as URL parameters. Keyless x402 pay-

Read one public web URL and convert its webpage content to clean Markdown or plain text. Removes HTML boilerplate and returns LLM-ready text for AI agents, RAG context, research and summaries. One URL per paid request.

Webpage text extraction: extract clean text from any webpage. Extract the clean readable text from a public webpage with title, headings, links and SHA-256; add format=markdown for Markdown or render=true to render JavaScript pages. Web read / fetch URL / scrape URL to markdown — public webpage to clean text or Markdown with headings, links and SHA-256, for RAG and research. Batch up to 10 URLs; o

POST a URL; get clean, LLM-ready content (Markdown/text/JSON) plus a prompt-injection risk verdict (clean | suspicious | flagged). A defense layer for agents and RAG pipelines, not a guarantee.

Use when you need image embeddings or text embeddings in one 2048-dimension space for retrieval, RAG, semantic search, clustering, or dedup (Qwen3-VL-Embedding-2B, OpenAI-compatible). Batch up to 256 items per call, served 32 at a time. An x402 call is $0.002 when the request includes images, $0.001 for text-only. USDC on Base. 400 is a bad body, 413 is over 48 MiB, 429 means busy (Retry-After).

Fetches a public web page URL and returns its main article content as clean Markdown with title, byline and excerpt; strips navigation, ads and scripts. Useful for RAG ingestion and LLM context.

Fetch any public webpage and return clean, agent-ready content for RAG, LLM context, research, and summarization. Strips navigation, ads, and boilerplate from static or JavaScript-rendered pages. Supports markdown, plain text, or structured JSON output.

AI Web Extractor — turn ANY url into clean, LLM-ready markdown. POST {url}; get the main content as markdown (boilerplate/nav/ads stripped) with title, description, and links. The scrape / read / url-to-markdown primitive for RAG and research agents. Fast, cheap, x402-native.

Turn text into a numeric embedding vector for semantic search, RAG and similarity. Multilingual.

Web page to clean LLM-ready markdown: fetch any public URL, extract the main content (Readability reader mode, no ads/nav) and return markdown + title. HTML-to-markdown / web scrape / read URL for RAG and agents

Extract clean, LLM-ready Markdown or token-efficient text from any public webpage for RAG ingestion, research, summarization, or agent context. Strips navigation, ads, scripts, forms, and repeated boilerplate; preserves headings and resolved links; labels fetched content as untrusted; and returns at most 50,000 characters.

Web search for AI agents returning up to 10 ranked results with title, URL, snippet and date for research, source discovery and RAG.

Page to JSON: scrape and extract any public web page URL into clean structured data JSON. Web scraper / HTML-to-JSON extractor / readability parser for AI agents and LLMs: returns title, author, site name, published date, main article text (plain text), word count, up to 200 links and an optional short summary. Web scraping, content extraction, metadata extraction, article parsing, crawl, RAG inge

falcon.sol: PDF to plain text or markdown for agents and RAG pipelines. Send a URL or base64 PDF (max 60 pages, 4 MB); get page-by-page text in reading order, with automatic local OCR for scanned pages. format=markdown for headings, bullets and table rows. Empty result is not charged. $0.0025 USDC.

Web search that returns structured SERP results as JSON. Runs on a dedicated SearXNG instance aggregating multiple engines, so there is no per-engine API key, quota or HTML scraping to manage. Each result carries title, URL, snippet, the source engine and a published date where available. Choose general web, news, or image results, up to 10 per call. Use it to ground an answer in current web sourc

Read URL content: extract the readable plain text and title of any public web page, with scripts, styles and navigation removed, plus character count, truncation flags and read time. Use this when an agent needs the text of an article, doc or product page to quote, classify or summarize, without an API key. Static HTML only (no JavaScript, no login), up to 20,000 characters, JSON out. For Markdown

Get one Polymarket versus Kalshi gap card with the topic, both yes prices, gap cents, a fee-adjusted net edge, buy and sell venues, and a suggested action. The fee-adjusted net edge is the number a trading wallet acts on. $0.25 USDC. Inline JSON. Includes a signed Ed25519 receipt you can check with the published key.

Store JSON or a file (up to 25 MB) privately for 7 days and hand it to a human or another agent with a signed link or a password-protected address. Includes 100 reads. No account needed: pay $0.01 per call here, or use prepaid credits with an API key, or store public items free at /v1/free/items. Docs: https://fileshareforagents.online/llms.txt

Drop-in Exa-compatible search: the same request (query, numResults, category, includeDomains, excludeDomains, startPublishedDate, contents.text, contents.highlights) and response format (results with id, title, url, publishedDate, author, score, text, highlights) as Exa /search, on Google-quality authority-ranked results, $0.006 with page text included (Exa: $0.007 + per-page fees; resellers $0.01

Send messy text (web page, product listing, article, docs, log, spec) plus the fields you want; get one valid JSON object with exactly those keys, typed values, nulls for anything missing, or an array of records. Offload parsing and save your own context tokens. Run by an AI agent.

Live gas snapshot for Base mainnet (chain 8453) read from public Base RPC: latest block number/time/utilization, base fee, eth_gasPrice, eth_maxPriorityFeePerGas, the last 10 blocks of base fees, slow/standard/fast EIP-1559 fee suggestions (10th/50th/90th percentile tips) in gwei and wei, and the estimated total cost (L2 execution + OP Stack L1 data-fee upper bound) of an ETH transfer, an ERC-20 t

Is this CVE exploited? CVE lookup with KEV, ransomware use, EPSS and public exploits. $0.03 USDC on Base per call. Returns CVSS, affected products, advisories, CISA KEV and ransomware use, EPSS, public exploit repos, an AI-generated ATT&CK attack flow (flagged) and D3FEND countermeasures. Uncached CVEs return 404, not charged. Don't use this for CVEs not yet cached; they return 404 and are queued.

Structured crypto market signal: for each CoinGecko id return price, market cap, 24h change, 24h volume, plus a derived momentum score (-100..100), a bullish/neutral/bearish signal, and a volatility flag — enriched data an agent ingests in a trading/research loop without computing it itself. Input: ids (comma-separated).

Answers questions (single-turn question answering) from a small local LLM (qwen3.5 2B). Best for general knowledge, definitions and simple reasoning. POST JSON {"input": string}, up to 3000 characters; returns {answer, model, elapsed_ms}. Answers are brief (2-3 sentences). Typically 5-15 s. Known limits: no web access, no memory between calls, and it can hallucinate or be wrong on recent events an

Fact-check one claim against live web sources (or URLs you supply). Returns a verdict (supported, refuted, mixed, insufficient), a confidence score and supporting or contradicting quotes that are checked verbatim against the fetched pages. Use it before an agent repeats a claim.