Search, built for AIs doing knowledge work.
Valyu is a search API built for AI agents and knowledge work: one API surface (Search, Contents, Answer, DeepResearch) that spans the open web plus specialist and proprietary sources - SEC filings, academic papers, clinical trials, patents, financial markets, and more - aimed at finance and science/R&D use cases with cited, structured outputs.
| Plan | Price | Included | Notable |
|---|---|---|---|
| Pay As You Go (Free) | $0 | $10 free credits on signup | Web, Arxiv, Pubmed |
| Ridiculously Cheap | $29/month | $50/month in credits (~$0.80 per credit) | Web, Arxiv, Pubmed, Stock prices, Crypto, Forex, Polymarket, Kalshi, MedRxiv, BioRxiv |
| Comfortably Pro | $89/month | $130/month in credits (~$0.70 per credit) | Everything in Ridiculously Cheap, plus:, SEC Filings, Insider transactions |
| Serious Business | $449/month | $750/month in credits (~$0.60 per credit) | Everything in Comfortably Pro, plus:, ChEMBL, PubChem, DrugBank, OpenTargets, NPI Registry, WHO ICD, NIH Research Grants |
| Enterprise | Contact for pricing | — | Custom rate limits, Access to all data sources, Higher results per query |
Checked 2026-08-06 against their pricing page. Vendors change pricing without notice.
Valyu positions itself as search infrastructure purpose-built for AI agents rather than humans: a single API and credit system spans four products (Search, Contents, Answer, DeepResearch) and unifies open-web search with paywalled/specialist datasets across finance and science, each retrievable with per-source pricing and citations traced to source.
Developers and teams building AI agents or products that need grounded, cited research across finance or scientific/R&D domains - RAG pipelines, agent tool calls, due-diligence or research-report generation - where general web search doesn't reach the specialist sources the answer depends on.
Pricing is entirely usage-based (CPM for Search, per-URL for Contents, fixed per-task for DeepResearch), with the free tier limited to web, arXiv, and PubMed only - every other specialist source (SEC filings, clinical trials, patents, drug-discovery data, economic indicators) requires a paid subscription starting at $29/month. Teams needing predictable flat-rate costs, or wanting proprietary data sources without committing to a metered credit model, would find the CPM-based Search pricing ($0.50-$30 by source) and DeepResearch task pricing ($0.10-$15, with the top "max" mode requiring at least $15 in available credits) harder to budget against than a flat-fee competitor.
Yes.
Yes, $10 in free credits on signup with no card required, covering Web, arXiv, and PubMed access.
Usage-based, shared credit pool ($1 = 1 credit baseline). Search is priced per-mille-tokens ($0.50-$30 by source), Contents at $0.001 per URL plus AI costs, Answer at $0.10/request plus variable costs, and DeepResearch at a fixed per-task rate ($0.10-$15 depending on mode). Monthly subscriptions ($29-$449) lower the per-credit rate and unlock specialised sources.
DeepResearch is an asynchronous autonomous research agent that plans, searches, verifies facts, and writes a cited report; the docs recommend it over hand-rolling a loop of raw Search calls for research-style tasks, reserving raw Search for tight, low-latency control inside a custom agent loop.
Python (pip install valyu), TypeScript (npm install valyu-js), and an Alpha-stage Rust SDK, all covering Search, Contents, Answer, DeepResearch, and Datasources.
The docs list integrations for the Vercel AI SDK, LangChain, and LlamaIndex as tool definitions and retrievers, plus a Claude Code plugin and agent skills for Claude Code, Cursor, and Windsurf.
Other products that solve a similar job or fit the same part of the GTM stack.
This page tells you whether Valyu fits. Cheetah builds and runs the system it goes into — enrichment, sequencing, CRM and the joins between them.
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