A new approach to the data economy

Every dataset is a dead file. Inflectiv's are alive.

Every agent that asks makes the dataset worth more.

One place for your agent to ask, instead of forty places to look. One credit a question, and half that where it annotates.

liveAPIMCPone credit per questionsettles in USDC

The whole product, in one question.

Which jurisdictions require monthly reserve attestation?

what comes back
1 credit

Three of the five require attestation monthly12. Two accept a quarterly reserve report where an independent auditor signs the monthly reconciliation3.

1MiCA Title III, Art. 362026-07-14 · 0.912NYDFS Part 200.92026-05-02 · 0.883MAS PS-N022026-03-28 · 0.79
dataset 2803895 records1 credit chargedthe owner earns on this question

Trusted by builders and data protocols

Sui
ELIZA:OS
Mobula
ASI
WALRUS
SEAL
DogeOS
Codec
Sui
ELIZA:OS
Mobula
ASI
WALRUS
SEAL
DogeOS
Codec
Sui
ELIZA:OS
Mobula
ASI
WALRUS
SEAL
DogeOS
Codec
Sui
ELIZA:OS
Mobula
ASI
WALRUS
SEAL
DogeOS
Codec
Usage so far

People build the datasets. Agents ask the questions.

Someone picks the subject, decides what belongs in it, and keeps it up to date. That is why Inflectiv datasets have human nuance, and are more current than a model's training data.

30k+

Users

On the platform today

30k+

Datasets

Created and queryable

~7k

Agents

Built on those datasets

5

MCP clients

Claude, Cursor and three more, since April

2,841,096

Records

Queryable right now

The idea

One source instead of forty. And it improves every time it is asked.

Regulation, filings, registers, court records. One place to ask, with the source and the date on every record, and every agent that asks can leave it larger than it found it.

Where it lives today

Three sources, three formats, none of them queryable.

Regulation400pp PDF, opened again
Registerscanned, twelve languages
Filingbehind a portal, no API

Your agent opens each one, in its own format, every time it needs it. Nothing it finds lands anywhere it can ask next time.

What happens on Inflectiv

One dataset. Three sources, already structured.

Structured oncethree sources, one dataset
Then askedone credit per question
Question 1record 40213 · 0.91
Question 2record 39114 · 0.88
Question 3record 38602 · 0.79

The work happens once. Every lookup after it hits a record with a source and a date, and the owner is paid for each one.

The Data Economy

Owners publish it. Knowledge workers keep it current. Developers pay to ask it.

Three ways in, depending on who you are. Two of them feed the dataset, one of them pays for it.

Data owners

publish it, set the price,

earn on every question

Knowledge workers

annotate as they work,

pay half where they do

feed it

One living dataset

clean, current, attributed

worth more every time it is asked

pay for it

Developers and businesses

query it, one credit a question

How to Use Inflectiv

01 · For data owners

A dataset is an asset. Yours, and it appreciates.

Build it from files, URLs, documents, research or what you happen to know. It is structured and queryable the moment it exists.

Private

For your own agents and tools. Encrypted, and nothing leaves.

Public

Listed on the market. You earn every time it is queried.

Tokenized

Launch a token on a curve, so the work is funded before it earns.

Upload files and create a dataset

Upload PDFs, docs, JSON, sheets, images and more. It becomes records as it lands.

Edit and manage datasets

Add files or URLs, update content, and set a dataset public, private or tokenized.

Every data deal hands over a file that starts ageing on delivery. This is the same transaction with the ageing running the other way.

Why it compounds

Keeping data current is a grind. On Inflectiv it just happens.

Every other data product is a file that starts going stale on delivery. This one is extended by the agents querying it, so a year in it answers questions nobody thought to ask when it launched.

On delivery · Every other data product

You get a file. It is as good as it will ever be.

On delivery · Inflectiv

You get something an agent can ask, that answers with the record cited.

After a year · Every other data product

It is a year out of date and somebody has to pay to refresh it.

After a year · Inflectiv

It answers more than it did, because the agents using it left it better.

Who gets paid · Every other data product

Whoever sold it, once.

Who gets paid · Inflectiv

The owner, every time it is asked.

Everyone else sells a file. Inflectiv sells something alive.

How this is different

Organising public data and selling access to it is already a billion-dollar business.

The biggest legal database took twenty-five years and a lot of hands to cover a hundred jurisdictions, then sold for a billion dollars. Inflectiv is built to do the same job without the years or the hands.

What you get

Search APIs for agents

Whatever was already free on the open web.

A licensed corpus

One deep corpus, checked by people.

Roll your own

Exactly what you loaded, and nothing more.

Inflectiv

A dataset somebody else keeps current, that your agent can also write to.

Who keeps it current

Search APIs for agents

Nobody. The crawler moves on.

A licensed corpus

The vendor, until you buy the next licence.

Roll your own

You, forever.

Inflectiv

The owner, who is paid every time it is asked.

What the source earns

Search APIs for agents

Nothing.

A licensed corpus

One payment, at signature.

Roll your own

You are the source.

Inflectiv

A share of every question, for as long as it keeps being asked.

A year later

Search APIs for agents

The same web, crawled again.

A licensed corpus

A year out of date.

Roll your own

As current as the time you put into it.

Inflectiv

It answers more than it did, because the agents using it left it better.

Private data

Search APIs for agents

It cannot carry any.

A licensed corpus

Only what was licensed.

Roll your own

Yours, if you host it yourself.

Inflectiv

Encrypted with Seal, and you set on chain who may query it.

The best public knowledge in a category, plus what the people using it add. That part cannot be scraped, and it grows with every question.

Wall Of Love

What builders are saying

We've hit the ceiling on scrapeable data. The most valuable knowledge is still trapped in PDFs, notebooks, and decades of human expertise. Inflectiv is making that intelligence AI-readable, and by building on Walrus, they're ensuring the people who created it actually get paid. Simple, verifiable, real.

Rebecca

Walrus Foundation

Inflectiv brings structured data and agent intelligence to the Doge ecosystem through Dogentic, unlocking entirely new use cases for builders.

Alex

DogeOS

Vanar and Inflectiv share a vision of making data interactive, intelligent, and accessible at scale.

Jawad

Vanar

Inflectiv makes Mobula curated datasets available to agents in a way that wasn't possible before

Sascha

Mobula

Momentum is excited about the upcoming partnership with Inflectiv AI and the value they can bring in enabling structured, tokenized intelligence for AI agents. We see strong long-term synergy as the integration progresses.

Uros

Momentum

We've hit the ceiling on scrapeable data. The most valuable knowledge is still trapped in PDFs, notebooks, and decades of human expertise. Inflectiv is making that intelligence AI-readable, and by building on Walrus, they're ensuring the people who created it actually get paid. Simple, verifiable, real.

Rebecca

Walrus Foundation

Inflectiv brings structured data and agent intelligence to the Doge ecosystem through Dogentic, unlocking entirely new use cases for builders.

Alex

DogeOS

Vanar and Inflectiv share a vision of making data interactive, intelligent, and accessible at scale.

Jawad

Vanar

Inflectiv makes Mobula curated datasets available to agents in a way that wasn't possible before

Sascha

Mobula

Momentum is excited about the upcoming partnership with Inflectiv AI and the value they can bring in enabling structured, tokenized intelligence for AI agents. We see strong long-term synergy as the integration progresses.

Uros

Momentum

We've hit the ceiling on scrapeable data. The most valuable knowledge is still trapped in PDFs, notebooks, and decades of human expertise. Inflectiv is making that intelligence AI-readable, and by building on Walrus, they're ensuring the people who created it actually get paid. Simple, verifiable, real.

Rebecca

Walrus Foundation

Inflectiv brings structured data and agent intelligence to the Doge ecosystem through Dogentic, unlocking entirely new use cases for builders.

Alex

DogeOS

Vanar and Inflectiv share a vision of making data interactive, intelligent, and accessible at scale.

Jawad

Vanar

Inflectiv makes Mobula curated datasets available to agents in a way that wasn't possible before

Sascha

Mobula

Momentum is excited about the upcoming partnership with Inflectiv AI and the value they can bring in enabling structured, tokenized intelligence for AI agents. We see strong long-term synergy as the integration progresses.

Uros

Momentum

We've hit the ceiling on scrapeable data. The most valuable knowledge is still trapped in PDFs, notebooks, and decades of human expertise. Inflectiv is making that intelligence AI-readable, and by building on Walrus, they're ensuring the people who created it actually get paid. Simple, verifiable, real.

Rebecca

Walrus Foundation

Inflectiv brings structured data and agent intelligence to the Doge ecosystem through Dogentic, unlocking entirely new use cases for builders.

Alex

DogeOS

Vanar and Inflectiv share a vision of making data interactive, intelligent, and accessible at scale.

Jawad

Vanar

Inflectiv makes Mobula curated datasets available to agents in a way that wasn't possible before

Sascha

Mobula

Momentum is excited about the upcoming partnership with Inflectiv AI and the value they can bring in enabling structured, tokenized intelligence for AI agents. We see strong long-term synergy as the integration progresses.

Uros

Momentum