Separate intent versus retry
Our count only includes identical work submitted by different agents under the same tenant and service. Repeating an intent from the same agent is excluded from the opportunity count.
PROOF-OF-VALUE TRACE LAB · PRIVATE IN YOUR BROWSER · BETA
Are your AI agents actually buying the same work twice?
Conservative v2 correction: the same work fingerprint at a different price is not counted as avoidable spending. Any v1 example using different quoted prices must be recalculated. A positive result remains hypothetical—not independently verified savings.
Measure possible cross-agent duplicate purchases using a local, sanitized CSV file. Exclude content you cannot legally share, payments your cache already avoided, and results with unverified delivery. Test whether the remaining opportunity even justifies engineering costs.
Important trust boundaries: This tool is not a wallet, an auditor or an accounting system. Your file is processed in browser memory only and is not uploaded to our server. Use pseudonymous, synthetic or consented data—never upload raw customer payment records, names, private keys, API tokens, or wallet addresses. Neither input records nor calculated savings are independently verified. A positive result is not a real saving or revenue.
1 · Provide an anonymized trace
CSV schema: occurred_at, tenant_id, agent_id, service_id, work_fingerprint, price_usd, reusable, delivery_verified, existing_cache_hit. The work fingerprint must be a non-sensitive, canonical opaque ID, not a raw prompt.
Events must contain an explicit UTC offset. Candidate duplicates are limited to *different agents in the same tenant* asking the same service for the same canonical work fingerprint within the selected period. No attempt is made to decide semantic similarity.
2 · Inspect your evidence
NO DATA ANALYZED · NO SAVINGS CLAIMED
—Eligible cross-agent candidate duplicates
—Baseline paid-quote volume in provided trace
—Input-derived avoided quotes (optimistic ceiling)
—Net at 50% capture rate after estimated costs
Optimistic modeled net benefit after estimated costs—Not independently verified. May be negative.
Load a synthetic sample or your own fully anonymized CSV to see an aggregate result.
Existing cache & license exclusions
Records flagged as already cached, ineligible for lawful sharing, or lacking verified delivery are excluded before duplicate matching. False positives remain possible when inputs are mislabeled.
Validate before buying
Use a 7–30 day, approved sample. Require a contract review, independent operator confirmation, and actual measured reductions in invoices before claiming economic impact.
Does your dataset reveal a real gap?
We can discuss a free scoped engineering fit review. Share only the aggregate statistics you explicitly approve, never raw or confidential traces. No paid pilot or acquisition is implied, and no performance guarantees or current enterprise customers are claimed.
Request a free integration review → · Explore a nonbinding full-acquisition discussion →