Stop agent errors before anyone acts on them.
Your agents write reports, fill dashboards, make recommendations. How do you know the numbers are real, the sources exist, and nothing was cherry-picked? Xplore Integrity verifies every claim mechanically — hallucinations get caught at the source, not discovered in a board meeting.
The problem no one solved cleanly.
An LLM confidently reports "$28,000 exposure" — but the file says $1.4M. There's no trace of what was read or computed. You find out only when someone checks manually.
The agent cites a URL that never existed, a snippet it never fetched, a date from a file it never opened. It looks right because it's well-formatted.
Checking one model with another shifts the problem — the judge hallucinates too, leaves no audit trail, and the error is indistinguishable from the original.
Three steps to verified agent output.
No rewrite of your agent code. Integrity wraps around what you already have.
Add our SDK (one wrapper), plug in a bridge for structured logs, or route through a gateway proxy. The agent doesn't change.
On every run, integrity checks fire automatically: source resolution, value grounding, arithmetic, completeness. 16 of 17 checks are fully deterministic.
Every run gets an integrity passport — trust score, risk flags, failed checks. Gate publications, trigger reviews, or just give users the confidence signal.
What gets checked.
Four categories cover the full surface of agent errors — from invented sources to arithmetic mistakes.
Every cited source is resolved against the observed zone. Did the agent actually fetch that URL? Does the file exist? Is the snippet really in the captured content?
Values asserted by the agent must exist in the content of their cited source. "$28K" must appear in the bytes we captured from the system of record.
Derived numbers carry their formula. The verifier recomputes. Cross-widget totals must add up. Parts must equal the whole.
Slot policies define what evidence types the task requires. Missing categories are flagged — not averaged away. Cherry-picking becomes structurally visible.
Works with your agents. Any framework.
Deeper integration means more visibility — and a higher trust cap. But even a lightweight connection gives honest, qualified results.
SDK wrapper. Full I/O capture. Trust cap ×1.0
Bridge on structured logs. Trust cap ×0.85
Gateway proxy. Trust cap ×0.7
Declared push + re-checks. Trust cap ×0.4
Built for regulated environments.
The integrity graph is the audit artifact regulators ask for — without separate documentation.
High-risk systems require traceability of AI decisions. The provenance graph provides it by construction — every claim traced to its evidence.
Financial regulators require independent validation of model outputs. Deterministic checks on the observed zone are independent by construction.
Every data point that feeds an automated decision is traced to its origin. Origin policies enforce "balance from CRM, not from web scrape."
See what your agents are really doing.
Connect an agent, run a task, get an integrity passport in minutes.