This documentation has been produced for the Simple-OEF version 0.1.20.


The Simple-OEF, or soef, is a search and discovery mechanism for autonomous economic agents. Agents register with the soef and are then able to conduct searches around them to find other agents that may be able to help. It is a relatively simple implementation focussing on functionality, performance and ease-of-use. As it develops, it will evolve into a full-scale decentralised, multi-dimensional digital world.

The work-flow is:

  • Find relevant agents on the soef,
  • Communicate using the Agent Framework's peer-to-peer network,
  • Negotiate and then transact on the ledger in order to exchange value for tokens

When an agent registers with the soef, it is issued with a unique reference which is quoted in all subsequent transactions. This way, the soef knows who its talking to. The soef is transaction based, so it does not need a permanent connection to be maintained in order to work with it. If it does not hear from an agent for a period of time, that agent will be timed out and automatically unregistered. This period of time is typically about one hour, but you can see the soef's configuration at:

Agents identify themselves in a number of ways. These include their address, their given name, their classification and their genus. They can also describe how they "look" in other ways, and specify the services that they provide.

In order to register, agents must provide a valid address and a given name. The address can be for the native ledger, the Cosmos ledger or the ethereum ledger. It is this that uniquely identifies them, and addresses cannot be duplicated or shared. The given name can be anything and it is not used for search filtering. Typically, it can be thought of as a debugging aid or a context. Names could be Alice, Bob or Jim, as well as they could be a flight number, train identity or reference code. They appear in find results, but are not used to find by.

Describing an Agent

Agents describe themselves in three ways:

  1. Identity: their address and ledger type along with their given name
  2. Personality pieces: how they look
  3. Service keys: what they do, sell or want.

We cover all of these in this next section. It's important to understand the difference between personality pieces and service keys, as agents only have one appearance, but they can provide many services. Search results can be filtered by a number of both, and wildcards are permitted where relevant.

Personality Pieces

Agents can have a number of personality peices. These describe how an agent appears, where it is, and other properties such as heading, supported protocols and types of transactions. All personality pieces are optional.

Piece Description
genus Coarse type of agent, includes things such as vehicle, building, iot. See the genus table below.
classification An agent's classification, typically in the form mobility.railway.train. See note below on classifications. No fixed classifications are specified.
architecture Agent's architecture. See the architecture table below. Introduced in version 0.1.20. The vast majority of agents should set this to agentframework.
dynamics.moving Boolean, indicates if the agent is moving or not.
dynamics.heading Indicates the heading of the agent, in radians, with 0.0 pointing due north.
dynamics.position Indicates the GPS co-ordinates of the agent as latitude and longitude.
action.buyer Boolean, indicates whether the agent wishes to buy information, i.e., is an agent that requires value from another agent.
action.seller Boolean, indicates whether the agent sells information, i.e., provides value. Value provided can be zero-cost.

Genus list

A genus is a coarse agent class. It is the roughest description of what an agent is, and an easy way of filtering large groups of agents out of searches. The supported genus list is:

Name Description
vehicle Moving objects such as trains, planes and automobiles
avatar An agent that represents a human being
service An agent that provides a service
iot An agent that represents an Internet of Things device
data An agent that represents data
furniture Small fixed location items such as signs, mobile masts
building Large fixed location item such as house, railway station, school
buyer Indicates the agent is a buyer only and does not have value to deliver

The best way to use genus is to pick the best fit choice. If there isn't one for you, then do not specify it. If you feel that a high-level genus is missing, please make the suggestion in our Developer Slack (see here for the instructions on joining, or the "Further Information" section below).


An architecture is a clue to other agents to describe how the agent is built. The vast majority of agents will be built using the Fetch Agent Framework, but in some cases, such as light-weight IoT devices or test/debugging, agents are built otherwise. Architecture offers a way of describing or filtering, as agents with a similar architecture are more likely to be able to communicate with each other in a meaninful way.

Architecture Description
custom Custom agent architecture
agentframework Built using the Fetch Agent Framework

A note on classifications

There is currently no fixed set of guidelines as to how classifications are used. It is expected that agent builders will converge on a set of standards, and as those become clearer, they will be documented as "by convention" classification uses. Here are some examples of classifications in use:


When filtering by classifications, the * wildcard can be used to, for example, capture all mobility related agents with a wildcard of mobility.*.

Service Keys

Agents can have a number of service keys. Service keys are simple key/value pairs that describe the list of services that the agent provides. Whilst personality pieces can be thought of as how an agent looks, service keys are what an agent has or does. Service keys are user defined and as with personality pieces, currently have no convention for formatting. They are at the agent builder's descretion. As this changes, the documentation will be updated. However, for buyer agents, three suggested keys are:


This allows searches to look for potential buyers of classifications, genus or with a compatible architecture.

Finding Agents

The soef is designed for geographic searches where agents are able to find other agents near to them that are able to provide them with the value that they want, or who might wish to have the value they provide. Future versions of the soef will support searches across nodes, positionless searches and dimensional reduction-based fuzzy searches. Right now, the soef supports the find_around_me operation for agents. This allows searches that:

  • Are within a certain range in KM
  • That have a specified set of personality pieces (with wildcards where applicable)
  • That have a specified set of service keys (with wildcards)
  • Where chain identifiers match

Some limits apply to the maximum number of filters or range. This may vary from soef instance to soef instance. You can see (and parse if required) these by getting the soef status at:

The soef returns XML that includes information about all found agents. An example of that, unparsed, looks like this:

    <agent name="Alice" genus="vehicle" classification="mobility.railway.train">
        <identity chain_identifier="fetchai">2h6fi8oCkMz9GCpL7EUYMHjzgdRFGmDP5V4Ls97jZpzjg523yY</identity>
      <location accuracy="3">

The <location> block is only returned if the agent has set itself to disclose its position in a find. Normally, the default is not to, and agents will then only return the <range_in_km> item. This is because agents may deliver their precise location as part of the value that they deliver, and therefore it would need to be negotiated and potentially paid for. However, sometimes, it is desirable for agents to always deliver their position when found but specify the accuracy. Because of this, the soef supports four levels of accuracy:

Level Accuracy
none Default do not disclose position, range only.
low Rounded to nearest 11km
medium Rounded to nearest 1.1km
high Rounded to nearest 110 metres
maximum No rounding: supplied in maximum available detail

Technical Details

For the majority of use cases, the soef will be used from the Agent Framework. As a result, talking to it directly will not be needed. There are some occasions where interacting with the soef directly may be required, and this section documents the API functionality.

Until version 1.0 (expected in Q3/Q4 2020), some of the security and paid-for-services are not implemented and where they are, generally not enforced. Digital signatures for the sign-on process and unique identity recovery will be implemented, as will encryption on sensitive data transport, for example. Thus the API is likely to change substantially in the coming months, particularly the initial registration process. It is not recommended that you invest in substantial code that talks to the soef directly until after 1.0, and it is always preferred to go through the Agent Framework.


Agents register at the /register page on the soef. They are expected to provide four pieces of information:

  1. An API key
  2. A chain identifier, which can be either fetchai for the Fetch native network (testnet or mainnet), fetchai_cosmos for the Fetch Cosmos testnet or ethereum for the ethereum network
  3. An address, which must be a valid address for the specified chain identifier
  4. A "given name" (see "Concepts", above), which can be anything from Alice to Bob, or a flight number, or any other user-given context

If registration is successful, the soef will return a result like this:


This indicates success and that the agent is now in the Lobby. The lobby is a temporary holding pen where newly registered agents wait until the negotiation is complete. If an agent does not respond and complete its registration within 60 seconds, it is removed from the lobby and registration is cancelled.

The <page_address> is the unique URL for the new agent. This must be quoted in all subsequent interactions and is how the soef identifies that specific agent. To complete registration, use the unique URL and specify the parameters:

  • token= with the token that was returned above and
  • command=acknowledge

If this works, you will receive a success response:


At this point, your agent is now fully registered and can then communicate with the soef.

Agents that do not contact the soef at least once over a specified interval will be automatically unregistered. The typical setting for this is 60 minutes.


The soef has a number of commands that can be used to set or update personality pieces, manage service keys, unregister, find other agents and other operations. These commands are specified using the agent's unique URL and a command= parameter. There may then be other required and optional parameters for that particular command.

Command Details
unregister Unregisters the agent from the soef. The unique URL is invalidated and the agent will no longer appear in searches. No parameters.
ping Say hello. This is for agents that have been idle for a long period of time and wish to maintain their connection. No parameters.
set_personality_piece Sets or updates a personality piece. Specify the piece (see personality piece table above) and the value. For personality pieces with multiple values, such as dynamics.position, separate them with the pipe character |.
set_service_key Sets or updates a service key. Specify the key and the value to assign to it.
remove_service_key Removes an existing service key. Specify the key.
set_find_position_disclosure_accuracy Sets the find disclosure accuracy. See the table in "Finding Agents", above, for the accepted values for the parameter accuracy.
find_around_me Find agents around me. This allows various filters, such as personality pieces and service keys, to be specified. See below, as this is more complex.
set_position This is a direct internal mapping to set_personality_piece with a piece of dynamics.position. It existed in the earliest versions of the soef and remains as a short-cut. It expects longitude and latitude as parameters.

Find around me in detail

find_around_me is the big command. Ultimately, it will cost a small amount of tokens to use it, depending on the size of the request as it involves the most computing time. This provides an incentive for soef operators to maintain soef nodes that correspond to subject areas, geographic areas or both. The command has a number of parameters specifying the filtering required. Only one of the parameters is required, which is range_in_km. This cannot exceed a certain range, typically between 50 and 75km. This, and other configuration items, are available on the soef's configuration page. There are other parameters that are optional. They are:

Parameter Use
chains_must_match Boolean. Must be true or false. Default is false. If specified, this ensures that any agents returned in the search will have the same chain identifier as you.
ppfilter Specify a personality piece filter. Multiple ppfilters can be specified. Example use is: ppfilter=dynamics.moving,true. Wildcards can be used where relevant, e.g.: ppfilter=classification,mobility* will match all classifications that start with mobility, whereas ppfilter=classification,*mobility* will match all classifications with mobility anywhere in it.
skfilter Specify a service key filter. Multiple skfilters can be specified. Example use is: skfilter=fruit,peach which will require any returned results to have a service key of fruit and a value of peach. Wildcards can be specified, so skfilter=fruit,pea* will match any agent with a service key of fruit that starts pea, so pear and peach would match.

Further information

You can find further information, or talk to us, in the #s-oef channel on our official developer Slack. You can find that here.

We welcome your feedback and strive to deliver the best decentralised search and discovery service for agents that is possible. There are many upcoming features, including the operation incentive mechanisms, additional security and encryption, active searches (where results happen without find_around_me being issued), non-geographic searches across one and many soef nodes and dimensional-reduction based approximate searches.