Paid services on Base matching “papers”

Scientific and academic paper search: research papers and scholarly literature from arXiv, PubMed, OpenAlex, Crossref and Semantic Scholar in one call, deduplicated and retraction-aware. Each hit: DOI, authors, venue, snippet, citation count and citations per year, type, open-access PDF link. Sort by relevance, recency, citations or impact. Keyless. For literature review and citing research.

Academic and scientific paper search API. Search research papers and scholarly literature across arXiv, PubMed, OpenAlex, Crossref, and Semantic Scholar in one call, deduplicated into a ranked result set: title, authors, year, venue, abstract, citation count, DOI, and direct PDF link. Query by keyword or restrict to one source; filter by year range; sort by relevance, recency, or citations. Keyles

ArXiv AI/CS Paper Search & Structured Token-Diet Digest (/v1/arxiv-digest) — Queries ArXiv for AI/CS/math papers and returns structured abstracts, authors, PDF links, and BibTeX. (https://arxiv-digest.agentdiet.dev/v1/arxiv-digest)

Neural and keyword web search. Optional category filter: company, research paper, news, pdf, github, tweet, personal site, linkedin profile, financial report.

Web research in one call: ask a question and get a short cited answer, summarize a topic or get a Wikipedia summary. Returns a 1-3 sentence answer, key points tied to source ids, and the sources used (typically 1-5: title, URL, publisher, date, supporting quote), confidence and a free permalink. Sources: Wikipedia first, plus web pages, Stack Overflow, GitHub, papers, docs. Example: "What is the M

PolySignal paper-trading performance summary, including win rate, ROI, PnL, open trades, settled trades, and tag-level breakdowns.

Lab quote: a filter query (+must -exclude "topic" (a OR b) wild* year:a..b) in; matching paper volume by year and research community, and a binding price per deliverable out.

Lumi Market Ideas (educational, not financial advice). Support and resistance levels for one of 14 watchlist and major coins (XRP, BTC, ETH, HBAR, XLM and more), with a bias label, rule-based 7-day bull/base/bear scenario levels (not forecasts), commentary, dated catalysts and cited sources. Use for price reference levels on one coin. Paper-trade analysis, not investment advice. Lumi does not trad

One paper in full detail by DOI, arXiv id or OpenAlex id: all authors with institutions and ORCID, abstract, venue, open-access links, topics with fields, citation count and citations per year, references count.

Daily NoFA signal from El Niño Market Watch: a deterministic, rules-based LONG/SHORT pick across 21 ENSO-sensitive assets — expected return to the strong-scenario peak, historical hit-rate with Wilson 95% CI, CFTC COT crowding penalty, full rationale, plus the live paper portfolio (NAV, positions, trades). Simulation, not investment advice.

Everything our desk recorded on a Solana mint in the last 48 h: the safety gate result (with rugcheck.xyz numbers, attributed), scout scores (numbers), our grade from scanner-card fields, the trader's action and conviction, the shadow outcomes (return at 1/5/15/60 min, max favourable / adverse excursion) and our last closed paper trade. No trader thesis, no bot card text, no chat content. Mints th

Eve’s paper next-open record on NVDA, QQQ, and SPY. $50 USDC. Scoreboard only. The method is not included. Not advice. Not affiliated with Robinhood.

The Papers, full edition: every dated world event (Wikipedia), every AI model release and new software version since your training cutoff.

Pay $1.00 USDC to play Rock Paper Scissors against the server. Win pays 2.0 USDC, tie pays 0.5 USDC, loss pays nothing. Network: Base Mainnet. Each request plays one complete turn-based round against a server-selected move and returns both moves plus the final outcome, making it useful for agent gameplay, competitive game APIs, and simple strategy-game interactions.

Find 3-10 scholarly candidates for a question or topic. Returns DOI/OpenAlex IDs, authors, year, venue, source URLs, citation context, open-access location, and known retraction/correction warnings. JSON only. Does not claim that a paper proves a statement.

A cupcake in the flavour of your choice (classic, chocolate, red-velvet, strawberry, lemon, carrot, blueberry, vegan, zero-sugar), served as an illustrated collectible card: a 400x560 SVG image of the cupcake in its paper wrapper. One GET request with the flavour in the path; returns the card as image/svg+xml.

Send a link, know it: any URL — article, YouTube video, X post, podcast episode, paper, PDF, GitHub repo — becomes a durable, cited knowledge page plus a token-efficient markdown packet built for agent relay. Flat $0.01 per link. Links are unique: anything any agent has ever known answers instantly from the shared knowledge base; first-ever links are processed once, for everyone (we absorb transcr

arXiv paper metadata via export.arxiv.org Atom API (keyless). Id or search query → title/authors/abstract/pdf.

Use when you need to discover arXiv e-prints by keyword, title, author or field query: pass any arXiv search_query string (e.g. "transformer attention", "au:vaswani", "ti:\"attention is all you need\"", "cat:cs.LG AND all:diffusion"). Returns up to 25 papers with id, title, summary, authors (names + affiliation without emails), primary category, categories, published/updated, comment, journal ref,

Agent Referee — settle a deadlock with another AI agent by fair rock-paper-scissors. Ties replay free. Each of the 2 agents pays this to join. Neutral third party for agents that can't agree; commit-reveal so no side (and not the server) can rig it; Ed25519-signed receipt. Step 1: POST /matches (free) to get match_id. Step 2: this call claims your seat and returns seat_token. Full instructions: GE

Daily market-regime context for trading agents: is the market risk-on or risk-off? One call returns today's issue: BTC trend filter (SMA20/50), trend scores for 9 altcoins, US equity regime (SPY vs SMA200, VIX term structure), SPY RSI(2) state and an MSTR BTC filter. Use it once a day before an agent sizes or gates trades. Rule-based, from PAPER research accounts, no track record, not advice. Issu

Fetch a public web page and return clean LLM-ready Markdown (Readability main-content extraction, nav/scripts stripped) plus title, byline, excerpt and OpenGraph metadata. {fullPage:true} keeps the whole body; {maxChars} caps output (default 100k). No JS rendering.