Sanaf AI
Start free
Analytics

Bitquery, worked by an AI employee

Not another app for your team to learn, and not a set of rules for you to build. You hire an AI employee, you give it access to your Bitquery account, and you ask it for things in Slack or Teams the way you would ask anyone else on the team. There is nothing to map and nothing to maintain.

  • Analytics
  • Connects with a key
  • 18 ready-made tools
  • Asked in Slack or Teams
At work

An illustration of how the conversation reads, not a transcript from a client account.

What Bitquery is

Bitquery provides historical and real-time indexed data for over 40 blockchains through GraphQL APIs, Websockets, SQL, and cloud providers.

You paste in a key from your own Bitquery account. It is kept encrypted, and you can withdraw it from inside Bitquery whenever you like.

How a run works

One message in, the work done in Bitquery.

  1. 01

    You ask

    You message your AI employee in the chat your team already has open, in one sentence, in your own words.

  2. 02

    It works out the step

    It decides what the job needs in Bitquery. You do not pick anything from a menu or wire anything together.

  3. 03

    It does the work

    Signed in to your own Bitquery account, inside the access you granted it, doing the thing you asked for.

  4. 04

    It reports back

    It tells you what it did, in the same thread. If it could not do something, it says so rather than guessing.

18 tools it already has

What it can do in Bitquery

These are the ready-made tools your AI employee already has in Bitquery. It is not limited to them, but it never has to be taught these.

  • Aliases MetricTool to use graphql aliases to rename fields in the response for clarity and disambiguation. use when you need to query multiple metrics with identical field names in one call.
  • Archive Database QueryTool to query the archive database. use when you need full historical blockchain data (delayed by tens of minutes to hours).
  • Combined Database QueryTool to query the combined database, which merges archive and real-time databases. use when you need both historical and up-to-the-second blockchain data in one request.
  • Conditional Metrics SnippetTool to generate a graphql metric snippet with conditional logic. use when you need to apply filters directly on metric calculations via the if attribute.
  • Count Distinct MetricTool to use the count distinct metric to aggregate unique values for a field. use when you need to count the number of unique occurrences in a dataset.
  • Count MetricTool to use the count metric to aggregate the number of records matching a graphql query. use when you need simple record counts.
  • Database SelectionTool to select the database (archive, realtime, combined) to query at the top level of a graphql request. use after determining whether you need live, historical, or combined block
  • Early Access Program QueryTool to access streaming data across various blockchain networks for evaluation purposes. use when querying chains not available via the v2 endpoint; limited to real-time data only
  • Mempool SubscriptionTool to subscribe to real-time mempool updates for evm chains (ethereum, bnb, etc.). use after constructing your graphql subscription to stream pending transactions live.
  • Network SelectionTool to select the blockchain network for graphql queries. use before constructing dataset or metric queries to ensure the correct chain is targeted.
  • Options QueryTool to fetch graphql dataset options via schema introspection. use when you need to discover root-level query fields and their arguments before building queries.
  • Price Asymmetry MetricTool to generate graphql priceasymmetry filter snippet. use when you need to filter trades based on price asymmetry metric.
  • Quantile MetricTool to calculate quantiles to understand the distribution of numerical data. use when you need percentile metrics (e.g., median or quartiles) of a numerical field in a dataset.
  • Realtime Database QueryRealtime database query
  • Select By MetricTool to generate a graphql metric snippet filtering by its value using selectwhere. use when you need to include only metrics meeting specific value conditions (e.g., only positive
  • Statistics MetricTool to compute statistical metrics (mean, median, etc.) over one variable in a dataset. use when you need precise summary statistics in your graphql query.
  • Sum MetricTool to calculate the sum of a specified field's values across defined dimensions. use when you need to aggregate total values in a dataset.
  • Uniq MetricTool to estimate the count of unique values using the uniq metric. use when you need approximate or exact unique counts for analytics on blockchain datasets.
Access, and who is in charge of it

You stay the boss of your Bitquery account.

Nothing connects until you approve it. You grant access one app at a time, you can take it back the same way, and everything your AI employee does in there is written down where you can see it.

How we handle your data
  • It signs in to your own Bitquery account. You are not moving anything into ours.
  • You grant access one app at a time, and you can take it back the same way.
  • Everything it does in Bitquery is written down, with what it did and when.
  • Anything you tell it to check with you first, it checks with you first.
Other apps in the same corner of the business

It works in Bitquery and the rest of your software in the same job

A real job rarely stays in one place. Reading a message in one app, checking a record in another and writing the result in a third is one request to your AI employee, not three.

See every app

Questions people ask about Bitquery

Can an AI employee really work inside Bitquery?
Yes. It signs in to your own Bitquery account and works in it the way a new hire would, from the chat your team already has open. Nobody installs anything, and nobody learns a new screen.
Do I have to move anything out of Bitquery?
No. Nothing moves and nothing is replaced. Your records stay in Bitquery, your team carries on in the same screens they used yesterday, and your AI employee works alongside them in there.
How does it get into my Bitquery account?
You paste in a key from your own Bitquery account. It is kept encrypted, and you can withdraw it from inside Bitquery whenever you like. You approve it before anything connects, and you can take the access back the same way you gave it.
What can it actually do in Bitquery?
It has 18 ready-made tools in Bitquery today, among them Aliases Metric, Archive Database Query and Combined Database Query. The full list is on this page. It is not limited to those, but it never has to be taught them.
Can it use Bitquery and the rest of my software in the same job?
Yes, and that is usually the point. Reading a message in one app, checking a record in Bitquery and writing the result somewhere else is one request to your AI employee, not three separate ones you stitch together.
Who decides what it is allowed to do in Bitquery?
You do. You grant access one app at a time and can withdraw it at any time, anything you ask it to check with you first it checks with you first, and everything it does in Bitquery is written down with what it did and when.