Loan Term Verification: Why Agents Read the Note
By Commertize Desk · Published 7 November 2026
The belief is reasonable: if a private credit offering publishes a clean summary of each loan, with rate, maturity, collateral, lien position and loan-to-value, a software agent can read that summary and treat it as the loan. The mechanism says otherwise. A summary is a claim about a set of legal documents, and an agent that acts on the claim inherits every transcription error, stale figure and omitted amendment in it.
Myth: the summary is the loan
The loan is the executed promissory note and the security agreement, plus every amendment, waiver and forbearance signed since. Under the Uniform Commercial Code §3-104, as published by Cornell Law School's Legal Information Institute, a negotiable note is defined by its written terms: an unconditional promise to pay a fixed amount, with or without interest. The summary has no legal standing of its own. When the two disagree, the note wins, and the holder's economics follow the note.
Typical drifts: a rate floor the summary rounds away, a maturity extension signed in a later amendment, or a loan-to-value figure computed against an appraisal older than the summary.
Mechanism: verify each term against an independent record
An agent verifying a loan's stated terms works term by term, and for each one it asks which record can confirm it without relying on the party that wrote the summary.
Principal, rate and maturity. These come from the note and its amendments. The agent needs the executed documents, or a hash of them anchored on a register, so it can confirm the version it reads is the version that was signed.
Lien and priority. A security interest in most personal property is perfected by a financing statement filed with a state filing office. UCC §9-502 sets out what that statement must contain: debtor, secured party and collateral. An agent can search the filing office record by debtor name and confirm that the lender, or its assignee, appears as secured party, that the filing has not lapsed and whether anyone filed earlier against the same collateral. For real property, the county's recorded mortgage plays that role.
Performance. Whether the borrower is paying is a servicing fact, not a disclosure fact. The SEC's Regulation AB II adopting release of September 2014 required asset-level data for registered securitizations of several asset types because pool summaries hid the loan-by-loan detail investors needed. Private credit carries no such mandate, but the logic carries over: dated, loan-level servicing data, with payment date, amount received and balance after, is what lets an agent check that a "current" loan is current.
Collateral value. A loan-to-value ratio is only as good as its valuation date. An agent should read LTV as two numbers, the ratio and the date of the mark, and discount any figure whose mark predates a material change in rates or occupancy.
What an agent can and cannot check
An agent can read public lien records, compare document hashes, reconcile servicer payment data against the note's schedule and flag every term that lacks a source. It cannot see a side letter that was never disclosed, and it cannot confirm a valuation is honest, only that it is dated and attributed. The output of verification is therefore not "true" or "false" but a per-term status: confirmed against an independent record, confirmed only against the issuer's own documents, or unsourced.
That status is the useful product for the asset owner. A credit fund that wants its notes read correctly by machines can publish, for each loan, the document reference, the filing reference and the servicing feed, so the verification path exists before anyone asks. The same pattern underlies proof of reserve for real-world assets: a claim is worth what the independent record behind it confirms. Commertize builds software for tokenizing real-world assets and is building a market where AI agents can buy data, compute and work; the Commertize agents overview covers that market.
What to do next
If you are building an agent that reads offerings for an asset owner, start with Commertize's machine-readable index at commertize.com/llms.txt.
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