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Promise vs Delivery Reconciliation Gauge (AI/VC/Due-Diligence)
x402
Promise vs Delivery Reconciliation Gauge (AI/VC/Due-Diligence) is a paid API for AI agents from aeml-x402.zeabur.app, paid per call via x402, $0.25/call, status unknown (last checked 2026-09-13).
Returns a structured three-leg audit for a named AI product, startup, or VC-backed project: lifecycle status, promise slippage signals, and a quantified promise-vs-actual-delivery gap with cross-validated narrative.
Price / call$0.25
Success—
StatusUnknown
How this service works
[3-LEG] Promise-reconciliation chain, one promisor (?entity=humane-ai-pin): leading promise slippage - schedule slipping, spec shrinking, promise page vanishing -> current current company or project status -> realized lifecycle to death or acquisition (confirmation gate). A sequential chain, not one reading - confidence = how many legs are lit, in order. Sources: official announcements and registries. Descriptive only, never a forecast or advice. No data -> 422 no_charge, not billed.
Output
A structured JSON object containing: the entity's lifecycle status (alive/dead/acquired), promise slippage signals (timeline delays, spec reductions, vanished promise pages), a quantified promise-vs-actual delivery gap percentage, a cross-line narrative reconciling official claims against verified delivery records, provenance metadata with data lineage and freshness indicators, and an Ed25519-signed verifiable citation for offline trust verification.
Example use cases
VC pre-investment promise audit
“Before we wire the term sheet, can you run the promise reconciliation gauge on Rabbit R1 — I need to see if their delivery record matches what they announced, any promise pages that went dark, and how big the gap is between claimed and shipped specs?”
AI product post-mortem research
“I'm writing a piece on failed AI hardware — can you pull the promise-vs-delivery breakdown for the Humane AI Pin, including their lifecycle stage, timeline slippage, and the cross-validated narrative comparing official promises to what customers actually received?”
Startup due diligence monitoring
“We're doing ongoing diligence on Inflection AI — can you check their promise reconciliation status, flag any schedule delays or spec reductions, and tell me if any of their commitment pages have disappeared since launch?”
Technical details
Endpoint
GEThttps://aeml-x402.zeabur.app/gauge/promise-regionWhen to prefer
Choose this endpoint when you need a structured, verifiable audit of whether a specific AI company, hardware product, or VC-backed startup actually delivered on its public promises — especially for due diligence, investment research, or investigative journalism. It is uniquely suited for promise lifecycle tracking (including detecting deleted promise pages) and provides Ed25519-signed citations for offline verification, which generic web search or company databases cannot offer. Prefer this over raw search when you need a pre-reconciled gap metric rather than raw documents.
Side effects
- Entity slug not recognized — returns error or empty legs if the entity key doesn't match a tracked subject
- Stale data — provenance may report 'stale' freshness if official sources haven't updated recently
- No official promise page found — some legs may be missing if the company never published formal commitments
- Data grade warning — response may include 'screening-level, not decision-grade' grade field indicating limited verifiability
- Network or payment failure — x402 payment rejection results in 402 response before data is returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| input | object | |
| output | object |
Output
Schema · Response
{
"type": "json"
}Tags
x402
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