information-retrieval

AI model capability, specs and limits table for 2,000+ LLMs — GPT-5, GPT-4o, Claude 5, Claude Sonnet, Gemini 3 Pro, Llama 4, DeepSeek V4 and more: context window size, max output tokens, vision/audio/function-calling/reasoning support. Compare model constraints side-by-side across every provider to pick the right model for long-context, multimodal, or tool-use workloads. Refreshed hourly.

Semantic search via GET — pass ?query=... parameter | ZWING Intelligence (https://zwing.finance) — contact: v@zwing.finance, Telegram: @valery_zzz

Ask for a triangulated news report on a topic, sourced from 125+ global outlets.

Fetch any public URL, render client-side JS, strip nav/ads, return clean LLM-ready Markdown.

Monexus Terminal API — Search 368 episodes of business/finance podcast corpus (FTS5). Params: q (>=3 chars), limit (<=20).

Monexus Terminal API — Full context brief: /api/v1/thread/{id}/context.

Monexus Terminal API — Funding events by company name. Params: company, limit (<=20).

Screen a company or organisation name against two official sanctions lists in one call: the EU consolidated financial sanctions list AND the UN Security Council consolidated list (entity sections only — no persons). Normalised name matching across all registered aliases; returns per match the source list (EU/UN), matched names, programmes, designation date and source link, plus each list's generation date. not_listed is no clearance; other jurisdictions (e.g. OFAC) are not covered.

Wikidata firmographics (keyless, CC0)

Takes a text as text, a public URL or inline base64 — PDF, DOCX, ODT, HTML and Markdown are read — and returns it as a graph: the people, organisations, places, products, documents and events it names, and the relations it states between them. Every relation carries the sentence it came from word for word, plus the character offset and line where that sentence stands, and each of those quotes is looked up in the source text before the answer goes out: an exact match, or a match after whitespace…

Runs the same substring name search already used by sanctions.uk.check, plus the JP MOF and OFAC name lookups behind sanctions.cross_check, against all three lists in a single call instead of three separate ones. Same underlying data and matching method as those two products -- no new list, no new matching logic. Factual screening data; not legal or compliance advice.

Get detailed information for a specific Polymarket event by ID or slug

Search Polymarket events by keyword with advanced filtering options

List Polymarket events with filtering by status, category, and volume

Retrieves status and monitoring information for configured system monitors.

Batch retrieve mapping data for up to 50 addresses/Twitter handles.

Check if an address or identity (Twitter, email, username) exists in database.

Get details for a Reddit community (subreddit).

URL metadata extraction and unfurling ($0.01)

Is this person or company sanctioned? Screens a name against the live US Treasury OFAC SDN and Consolidated (non-SDN) lists — sanctions screening, watchlist check, KYC/AML pre-check, counterparty screening before a payment. Fuzzy-matches primary names AND every OFAC alias, so transliteration and word-order variants still hit. Deterministic: no LLM. Returns official OFAC rows verbatim (programs, SDN uid, remarks) with a 0-100 match score.

Single-paper lookup by DOI or title for research agents — citation count, influence, open-access status with a direct legal-OA link (Unpaywall), venue, and a TLDR. Deterministic passthrough over OpenAlex + Semantic Scholar + Unpaywall, no synthesis, cheap and fast.

Fetch a URL and grade its HTTP security headers (HSTS, CSP, X-Frame-Options, etc.)

Country reference data: capital, region, population, area, currencies, languages, calling code, timezones and borders

Fetch a URL and return its main content as clean Markdown (boilerplate stripped)