Seven current offers · $0–$499 · Local software + one fixed-scope review
Products, prices, and limits—side by side.
Search by the problem, price, or team. Every card shows the job, buyer, price, and next action; technical details stay folded until you need them.
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Examples
Search boundary: Matching is browser-local. Query and filter are mirrored in this page’s URL; loading or sharing that URL exposes those values as ordinary request data.
By job
By budget
By buyer
Showing 7 of 7 offers
All offers
Seven current offers, side by side.
Scan the price, buyer, and decision. Expand inputs, delivery, limits, and evidence only when an offer looks relevant.
Paid local software$99 USD
Run-input gate / v1.0.0
Replay Input Preflight
Stop a replay when a required local file is missing, changed, outside its declared set, or over the byte limit—without running it.
Supported decisionDo the declared local files pass the exact checks required before this replay starts?
Check whether a historical join used data that arrived too late, came from an unfinished period, was stale, duplicated a time key, or may be using the wrong clock.
Supported decisionWas each selected historical row available by decision time—and do the declared clocks, periods, grids, duplicates, and freshness limits hold?
ML engineers, data scientists, validators, and governance teams
Input
Strict policy contract plus values-free JSON column schema
Output
Ordered manifest, selected/excluded ledgers, summary, and checksums
Delivery
Private Python 3.11+ package; no account to run, upload, telemetry, or runtime network requests
Stops at: declared schema discipline—not upstream-computation proof, hidden-proxy detection, model validity, or fitness.
Evaluation & contracts
Free MIT utility$0
Evidence and review / v1.3.2
Evidence Preflight
Turn a persuasive claim into an inspectable evidence record before review, publication, or operational use.
Supported decisionIs the claim’s scope, provenance, comparison, failure criteria, limitations, and intended use documented well enough for serious review?
Stops at: observed wrapper lineage—not sandboxing, proof of non-access, host integrity, safety, or correctness.
No confident match
Try the decision, not the product name.
Describe the failure you need to prevent—such as “target values influenced feature selection” or “the release passed but evidence is incomplete.” If the question is simply which offer fits, use four structured choices or start from the buyer problem.
Evaluate before choosing
Descriptions route attention. Exact public records support evaluation.
The Evidence Library separates current paid-product evaluation packs, withdrawn product records, the fictional review sample, and complete narrow MIT utilities—with hashes and non-claims beside the artifacts. Tabular Shape Receipt and Local Input Receipt remain inspectable but accept no new orders.