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Data & Intelligence

Noisy signals in, data that systems can rely on out.

Oracle services, structured pipelines and machine-readable data, each value with a source, a time and a signature. Where quality is limited, we say so.

See capabilitiesWork with us
Raw signalsSource, time, qualityStructured and signedgap reportedheld back: no verifiable source

The domain

Data that can be traced, checked and used by machines.

A value is only useful to a machine if it knows where it came from, how old it is and whether it was changed.

Data rarely arrives clean. Sources disagree, feeds go stale and fields go missing. A system that decides on that data needs those limitations stated, not smoothed over.

We build oracle services and structured pipelines that carry provenance and freshness with every value, sign what they deliver and describe themselves in machine-readable form, so agents can use them directly.

Capabilities and status

Three areas. Every capability carries the status its evidence supports.

Demonstratedtested capability or reproducible public demonstrationImplemented / documentedexists and is documented, current function not independently verifiedIn researchexperimental or exploratory workPlannedplanned or staged, not activeStatus to confirmnot enough evidence to classify

Oracle services and structured data

Data from many sources in one documented, machine-readable form.

  • Data endpoints

    Documented endpoints for macro, energy, grid and trade data.

    Implemented / documentedFeedOracle APIsEvidence

  • Oracle services across chains

    MCP servers for XRPL and Base data, and further blockchain data through ToolOracle.

    Implemented / documentedXRPLOracle, BaseOracle, ToolOracleEvidence

  • Machine-readable documentation

    llms.txt files on feedoracle.io and tooloracle.io describe services for agents. Both retrieved on 31 October 2026.

    DemonstratedFeedOracle, ToolOracleEvidence

Provenance, freshness and verification

Where a value came from, how old it is, and whether it was changed.

  • Signed responses with content hash

    Responses carry a content hash and a request ID, signed with ES256K.

    Implemented / documentedFeedOracle APIsEvidence

  • Generation time and validity

    Responses state when the data was generated and until when it is valid.

    Implemented / documentedFeedOracle APIsEvidence

  • Reporting of gaps and stale inputs

    Documented: evidence carries a freshness status (current, stale or superseded), responses state data freshness, and a preflight can answer that evidence is insufficient. Not tested here.

    Implemented / documentedFeedOracleEvidence

  • Published signing keys

    feedoracle.io publishes ES256K and ML-DSA-65 keys as a JWKS. Checked on 31 October 2026.

    DemonstratedFeedOracleEvidence

Data for agents

Data that agents can find and use without a custom integration.

  • Live MCP data server

    A FeedOracle MCP server answered a live status call on 31 October 2026.

    DemonstratedFeedOracle MCPEvidence

  • Routing agents to data services

    ToolOracle routes agent intents to suitable data services.

    Implemented / documentedToolOracleEvidence

  • Specialized regulatory data modules

    Documented separately in the API documentation.

    Implemented / documentedFeedOracle APIsEvidence

Example: from source to verifiable response

A pipeline with checkpoints. Each one adds something the recipient can check later.

  1. Source

    A named origin for every value.

  2. Collection

    Timestamped on arrival.

  3. Normalization

    One documented schema.

  4. Quality check

    Freshness and completeness are checked.

    Missing or stale inputs are meant to be reported, not hidden.
  5. Signing

    Content hash and ES256K signature.

  6. Delivery

    Through the REST API or MCP.

  7. Verification

    The recipient checks the signature against the published keys.

Developments in this field

Independent developments that use this field.

  • ToolOracle

    Routes agents to data services across many categories and chains, and publishes its capabilities in an A2A Agent Card.

    Implemented / documentedtooloracle.io

  • AgentNOMOS

    An AI governance development that relies on this field: authorization rests on current, source-bound evidence.

    Implemented / documentedagentnomos.com

Connections to the other fields

Where data meets the other three fields.

  • AI & Autonomous Systems

    Agent decisions rest on current, source-bound evidence.

    Implemented / documented
  • Blockchain & Distributed Infrastructure

    Blockchain data from XRPL, Base and other chains, delivered to agents.

    Implemented / documented
  • Quantum & Scientific Computing

    Experiment records with raw counts and an independent verifier, as in our public hackathon code.

    Implemented / documented

Relationship to the Research Center

This field feeds algorithmic research: methods for combining sources, judging freshness and stating uncertainty. Research results only move into the pipeline once they are demonstrated.

FeedOracle Research Center
  • Algorithmic research

Work with us

Real starting points only. Pages that do not exist yet are not linked.