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Machine-Readable Discovery · Zero-Auth Static Protocol

Built for bots, LLMs and autonomous AI agents

The Data Exchange Platform provides deterministic, CORS-enabled JSON schemas, OpenAPI specifications, and structured context files so AI agents and research crawlers can discover synergies across our 6 partner websites without scraping brittle HTML.

Machine discovery endpoints

Endpoint URI Format Purpose for Bots & Agents
/llms.txttext/plain (Markdown)Concise LLM entrypoint summarizing the 5 transition pillars, 6 active partner domains, and direct schema links.
/llms-full.txttext/plain (Markdown)Complete single-file context window containing entity definitions, scoring rubric, and GDPR governance rules.
/.well-known/ai-agent.jsonapplication/jsonAutonomous agent capability manifest with tool descriptions, partner list, and mandatory human-oversight constraints.
/schema/openapi-v0.jsonapplication/json (OpenAPI 3.1)Standard OpenAPI specification for tool-calling LLMs and autonomous workflow orchestrators.
/schema/datalayer-v0.schema.jsonapplication/schema+jsonJSON Schema (Draft 2020-12) for validating Aspirations, Actors, Commitments, AI/Robotics, Supply Chains, and Matches.
/schema/sample-dataset-v0.jsonapplication/jsonReference multi-entity dataset demonstrating stop-to-start supply-chain handoffs and Sumnetics robotics readiness.
/schema/matching-method-v0.jsonapplication/jsonMachine-readable 100-point complementarity and synergy scoring weights and decision bands.

Agent governance & human-in-the-loop protocol

In alignment with Sumnetics (sumnetics.com) and our Data Principles, any bot or AI agent consuming or proposing matches through this data layer must respect four operational guardrails:

  • Rule 1 · Provenance

    Preserve source & ISO date

    Never strip source or source_date when indexing or reasoning over aspirations, commitments, or supply-chain assets.

  • Rule 2 · No Private Profiling

    Organisations only

    Do not join this data layer with personal social graphs or private individual profiles. Only public organisational roles are permitted.

  • Rule 3 · Complementarity

    Score role diversity & handoffs

    Prioritise coalitions that combine distinct roles (doer + funder + knowledge_holder + user) and match "stop" commitments with "start" needs.

  • Rule 4 · Human Sign-Off

    Human-in-the-loop verification

    AI agents may propose and score candidate coalitions, but binding commitments and relation confirmations require human sign-off.

Quickstart code for AI agents

Python · Fetch Schema, Scoring Method & Reference Coalition Dataset
import urllib.request, json

BASE = "https://dataexchangeplatform.io"
schema = json.loads(urllib.request.urlopen(f"{BASE}/schema/datalayer-v0.schema.json").read())
method = json.loads(urllib.request.urlopen(f"{BASE}/schema/matching-method-v0.json").read())
dataset = json.loads(urllib.request.urlopen(f"{BASE}/schema/sample-dataset-v0.json").read())

print("Active partner websites:", [p["domain"] for p in dataset["active_partner_sources"]])
for match in dataset["matches"]:
    print(f"Match {match['id']}: Score {match['score']}/100 ({match['status']})")