Grounded web search for AI agents
The cited web search and fetch API for AI agents.
Real-time answers with sentence-level citations, and only the parts of a page your agent needs.
20 results · 124 cited passages
2026 Healthcare Predictions: AI, Blockchain, and the Rise of ...
pmc.ncbi.nlm.nih.gov · 2026
Emerging healthcare AI trends in 2026 so far
philips.com · 2026
How AI Will Shape the Future of Health Care In 2026
sullivancotter.com · the latter half of the decade
POST /v1/search
Search
Live web results for agents, with every page already read and cut down to the parts that answer.
- Fresh
- Results from the live web, each with its publish date.
- Read
- We read up to 20 pages per search and keep the relevant parts, at no extra cost.
- Cited
- Every passage links back to where it came from.
curl https://fluxsearch.io/api/v1/search \ -H "Authorization: Bearer $FLUX_API_KEY" \ -d '{ "query": "EU AI Act transparency obligations", "max_results": 5 }'import os, requestsr = requests.post( "https://fluxsearch.io/api/v1/search", headers={"Authorization": f"Bearer {os.environ['FLUX_API_KEY']}"}, json={ "query": "EU AI Act transparency obligations", "max_results": 5, },)for result in r.json()["results"]: print(result["title"], result["published_at"])const res = await fetch("https://fluxsearch.io/api/v1/search", { method: "POST", headers: { Authorization: `Bearer ${process.env.FLUX_API_KEY}` }, body: JSON.stringify({ query: "EU AI Act transparency obligations", max_results: 5, }),});const { results } = await res.json();POST /v1/lineage
Lineage
Send a page and a question. Get back just the sentences that answer it.
- Sentence level
- Your model reads the answer and nothing else.
- Resolved
- Words like "he" or "last year" are tagged with who and when they mean.
- Batched
- Up to 200 pages and questions in one request.
curl https://fluxsearch.io/api/v1/lineage \ -H "Authorization: Bearer $FLUX_API_KEY" \ -d '{ "url": "https://artificialintelligenceact.eu/article/50/", "query": "Who must tell people they are interacting with an AI system?" }'import os, requestsr = requests.post( "https://fluxsearch.io/api/v1/lineage", headers={"Authorization": f"Bearer {os.environ['FLUX_API_KEY']}"}, json={ "url": "https://artificialintelligenceact.eu/article/50/", "query": "Who must tell people they are interacting with an AI system?", },)for passage in r.json()["results"]: print(passage["enriched_text"])const res = await fetch("https://fluxsearch.io/api/v1/lineage", { method: "POST", headers: { Authorization: `Bearer ${process.env.FLUX_API_KEY}` }, body: JSON.stringify({ url: "https://artificialintelligenceact.eu/article/50/", query: "Who must tell people they are interacting with an AI system?", }),});const { results } = await res.json();The Guardian
Burnham urged to increase tax on banks as Barclays’ profits soar
Andy Burnham has been urged to launch a tax raid on UK banks, as Barclays revealed a 30% increase in its half-year bonus pool after a rise in profits.
Fresh corporate filings released on Tuesday showed the bank put £1.3bn towards its bonus pool for the first half of the year. That figure, which includes annual and deferred bonuses, was up from £1bn last year.
That bonus pot will continue to accumulate through the second half of this year, and could lead to more generous payouts for high-performing bankers when Barclays makes final pay decisions by the end of February next year.
The increase in the bonus pool follows a rise in pre-tax profits for the second quarter to £3.3bn, up 31% on the year and bringing Barclays' half-year profits to £6.1bn, up 17%.
That also allowed the bank to announce new payouts for shareholders, including a £1bn share buy-back and £800m in dividends.
The strong results further emboldened calls for a tax raid on UK lenders, with the Trades Union Congress (TUC) saying that Burnham's plans to tackle the cost of living crisis required "more support in the months ahead", particularly from big banks.
The TUC general secretary, Paul Nowak, said: "Big banks like Barclays are raking it in while working people and local businesses are struggling. High interest rates have been a boon for banks but have meant mortgage misery and higher bills for the rest of us.
"This is not a 'hard choice'. Barclays' bonanza profits show that banks can easily afford to pay more tax. This is a chance for the new prime minister and chancellor to show whose side they're on. It's time to increase the bank surcharge and tax banks to bring down energy bills."
Barclays executives used a conference call with journalists on Tuesday to stress that they were taxed much higher than their foreign peers, pointing to statistics from the lobby group UK Finance showing that UK banks were taxed 46.4% when employment taxes and VAT were taken into account. That compares with a 38.9% rate in Frankfurt and 27.9% in New York.
"We think that the track record that we and the other banks have, in terms of supporting UK growth and indeed leaning into UK lending in the way we have ... is really important for the health of the economy," said the chief financial officer, Anna Cross. "We hope that that that will be considered."
"We approve the compensation amount through the year as we progress: the higher revenues and returns are, we somewhat mechanistically increase that accrual. That's all that's happened this quarter. We don't make any decisions until the end of the year," Cross added.
The Barclays chief executive, CS Venkatakrishnan, said he met the new chancellor, John Healey, alongside a small group of bosses, as Burnham's cabinet took shape last week. "I was very pleased to hear his commitment to growth in every postcode," Venkatakrishnan said. "He also said that he wants businesses to be successful, that he wants British businesses to be successful, for the government to buy goods and services from British companies."
While the UK "has been doing well in the context of Europe", Venkatakrishnan said, bank loans would be crucial to supporting UK growth, suggesting any constraints on their finances could weigh on the funding available from lenders.
"I want to make the point that for every pound of capital that's retained in the banking system, we lend £8 to £10 into the economy ... So we very much want to use our capital to lend into the economy and to support investment and to support growth."
Without Lineage
Burnham urged to increase tax on banks as Barclays’ profits soar
www.theguardian.com/business/2026/jul/28/barclays-increases-bonus-pool-uk-bank-tax
28 July 2026
POST /v1/fetch
Fetch
Turn any public page into clean markdown your model can read.
- Rendered
- Works on JavaScript-heavy pages too.
- Dated
- Comes back with the page title and publish date.
- Flat price
- $1 per 1,000 pages. Pages we can't read are free.
curl https://fluxsearch.io/api/v1/fetch \ -H "Authorization: Bearer $FLUX_API_KEY" \ -d '{ "url": "https://en.wikipedia.org/wiki/Retrieval-augmented_generation" }'import os, requestsr = requests.post( "https://fluxsearch.io/api/v1/fetch", headers={"Authorization": f"Bearer {os.environ['FLUX_API_KEY']}"}, json={ "url": "https://en.wikipedia.org/wiki/Retrieval-augmented_generation", },)print(r.json()["markdown"])const res = await fetch("https://fluxsearch.io/api/v1/fetch", { method: "POST", headers: { Authorization: `Bearer ${process.env.FLUX_API_KEY}` }, body: JSON.stringify({ url: "https://en.wikipedia.org/wiki/Retrieval-augmented_generation", }),});const { markdown } = await res.json();- URL
- https://en.wikipedia.org/wiki/Retrieval-augmented_generation
- Title
- Retrieval-augmented generation
- Published
- 2023-11-05
- Characters
- 29,698
From Wikipedia, the free encyclopedia **Retrieval-augmented generation** (**RAG**) is a technique that enables [large language models](https://en.wikipedia.org/wiki/Large_language_model "Large language model") (LLMs) to retrieve and incorporate new information from external data sources.[[1]](https://en.wikipedia.org/wiki/Retrieval-augmented_generation#cite_note-IBM-2023-1)[[2]](https://en.wikipedia.org/wiki/Retrieval-augmented_generation#cite_note-2) With RAG, LLMs first refer to a specified set of documents, then respond to user queries. These documents supplement information from the LLM's pre-existing [training data](https://en.wikipedia.org/wiki/Training_data "Training data").[[3]](https://en.wikipedia.org/wiki/Retrieval-augmented_generation#cite_note-MIT_Technology_Review-2024-3) This allows LLMs to use domain-specific and/or updated information that is not available in the training data.[[3]](https://en.wikipedia.org/wiki/Retrieval-augmented_generation#cite_note-MIT_Technology_Review-2024-3) For example, this enables LLM-based [chatbots](https://en.wikipedia.org/wiki/Chatbot "Chatbot") to access internal company data or generate responses based on authoritative sources. The technique was first proposed in 2020 and has since become a widely adopted approach in modern AI systems.
Accuracy
Lineage answers almost as well as sending the whole page, with a fraction of the tokens.
400 questions on research papers (QASPER).
Answer F1, higher is betterContext tokens per question, log scale
| Method | Context tokens per question, log scale | F1 |
|---|---|---|
| Lineage | 597 | 0.418 |
| Whole page | 5018 | 0.465 |
| Keyword retrieval | 640 | 0.308 |
| Truncation | 623 | 0.117 |
Tested with gpt-oss-120b on 400 questions per method and scored against reference answers. Whole pages score 0.465 F1 and Lineage 0.418, with 8.4x fewer tokens. Short pages lose more: on Quoref with one source, F1 drops from 0.851 to 0.651.
More sources, same context window
Send your model only the sentences that matter from each page, and the same window holds dozens of times more sources.
Fit more sources
10
12,480 tokens eachYour context
10 sources fit a 128k windowSources that fit a 128k context window, which also has to hold prompts, tools and history.
Start building
- 01
Get a key
Sign up and create a key. You get free credit to start.
Create a key - 02
Make your first request
Call Search, Lineage or Fetch with the same key.
Read the docs - 03
Connect your agent
Give your agent fluxsearch.io/llms.txt and it can learn the whole API.
Open llms.txt
Pay for what you use
Search: $4 per 1,000 searches, page reads included. Fetch: $1 per 1,000 pages. Lineage: billed per token.
Questions
What is Flux?
An API that lets AI agents search the web and read pages. Search finds pages for a question, Lineage pulls out the sentences that answer it, and Fetch gives you a whole page as markdown. One key works for all three.
When should I use Search, Lineage or Fetch?
Search when you don't have sources yet. Lineage when you have a page and only want the answer. Fetch when you want the whole page.
How do citations work?
Every passage comes with its link and date, and the people, companies, places and dates in it are tagged. In Flux chat, each claim links to the passage it came from.
How fresh are the results?
Search runs on the live web when you call it, and shows each page's publish date where there is one.
What does it cost to start?
Nothing up front. New accounts get free credit. After that, pay as you go or pick a monthly plan with bonus credit.
What happens to the data I send?
Requests are encrypted in transit and at rest. You can turn on zero data retention in settings, and we offer data residency on request.