Referral receipts
Payment for creating the trusted edge. A connected user joins through a person, not a faceless funnel.
MetaSPN routes missing context through people. AI gives you memory. MetaSPN gives you humans: connection receipts for trusted edges, proof of search for finding the path, and proof of energy saved for external tokens that never had to leave the system.
A referral is not just attribution. It is a time edge: the person behind you in the network becomes the first human node your future-context requests can reach.
Payment for creating the trusted edge. A connected user joins through a person, not a faceless funnel.
When the first person cannot help, the request moves through the graph. Each route creates a receipt.
Queries that resolve from memory, corpus, cache, or human relay avoid external AI token spend. Those avoided exits create rebate receipts.
The Guide can remember and compress, but it cannot pretend to know context outside its map.
The referrer receives the first relay because they created the connection.
If the first node cannot help, they route it up-chain or sideways to a better human node.
Accepted context becomes a diary receipt. The graph learns who helped, who routed, and how far the signal traveled.
Connection receipts pay for the edge. Energy rebates pay for useful work later. Mixing those ledgers turns a network into a pyramid with better typography. We are avoiding that, despite the obvious temptation.
Payment for the connection.
{
"type": "connection_receipt",
"connected_user": "new_user",
"connected_by": "referrer",
"promise": "Create the trusted path into MetaSPN.",
"result": "User subscribed through this edge.",
"share": "50% of settled subscription revenue"
}Payable later from proof of external tokens avoided.
{
"type": "energy_rebate",
"source": "energy_saved_receipt",
"credited_to": "resolution_or_helper",
"basis": "tokens_not_externalized",
"promise": "Keep useful intelligence inside MetaSPN.",
"result": "Query resolved without a fresh outside AI call.",
"status": "payable_later"
}The expensive event is externalization. MetaSPN records which useful queries were resolved by memory, corpus, cache, prior resolutions, or human relay before they became fresh outside AI calls.
The communication is not on the AI layer. It is in the user network layer.
AI compresses. Humans route. Receipts settle. The graph becomes valuable when it can find the person who knows, not when it can pretend the model already does.
MetaSPN is designed as a metanetwork protocol on top of a work-based network: proof of search with proof of energy saved. Quai provides the energy-native substrate; MetaSPN records the human search and token-conservation layer above it.
Every escalation preserves the path: who searched, who routed, and which edge reduced uncertainty.
Internal answers create energy-saved receipts when they prevent or reduce external AI token spend.
Networks need networks: humans behind humans, ledgers behind promises, and receipts behind trust.