Quantized Credit Model Scorer

Runs a fixed, int8-quantized logistic-regression-class credit-decisioning model as a pure integer inference kernel: an int8 weight vector, a fixed-point bias, and a threshold comparison, nothing else. Every input is a pre-normalized fixed-point integer and every operation inside the kernel is integer add, multiply, or compare, so the same score reproduces byte-for-byte on every compute surface.

Policy Mandate Export zkML Pilot credit_assessment Proof verified

🔒 All inputs are processed locally in your browser. No data is transmitted. Do not enter real personal data — use synthetic or anonymised inputs only.

⚠ This tool proves that THIS fixed quantized model produced THIS score from THESE inputs. It does not attest to the model's fairness, accuracy, or fitness for any real credit decision. The underlying model is a synthetic, offline demand-test artifact — not fit for regulatory credit decisioning. See the quantization_parity field on the exported artifact for the measured float-vs-quantized agreement rate.

Each value is the feature already normalized and scaled by 2^16 (a signed fixed-point integer), matching how the model was trained and quantized offline. Leave a field blank to treat it as 0.

Result

Ask your agent

Copy this paragraph into Claude, OpenClaw, or any MCP-aware agent to run this exact tool, with this sample, and verify the artifact.

Run the AINumbers MCP tool `score_credit_model_quantized`. Task: Run a fixed, int8-quantized credit-decisioning model as a pure integer inference kernel and returns the score it produced from the supplied normalized inputs.
Call it with arguments: {"policy_parameters":{"normalized_fixp16":[-20129,99164,96151,113542,-79509,67994,46535,3936,-81611,-76625]}}
Verify before trusting: call `verify_execution_hash` on mcp.ainumbers.co (https://mcp.ainumbers.co/mcp) with the parameter `claimed_hash` set to the returned `execution_hash`, passing the full artifact the run returned (the object containing `policy_parameters` + `output_payload` + `execution_hash`; equivalently `policy_parameters` + `output_payload` with `claimed_hash`), not the bare hash string.
Return the ledger link https://ledger.ainumbers.co/ so a human can re-verify without contacting us.
PII rule: All inputs are processed locally in your browser. No data is transmitted. Do not enter real personal data — use synthetic or anonymised inputs only.
Open the tool with the sample prefilled: https://ainumbers.co/chaingraph/art-348-score-credit-model-quantized.html#p=v1.H4sIAAAAAAAA_wFXAKj_eyJub3JtYWxpemVkX2ZpeHAxNiI6Wy0yMDEyOSw5OTE2NCw5NjE1MSwxMTM1NDIsLTc5NTA5LDY3OTk0LDQ2NTM1LDM5MzYsLTgxNjExLC03NjYyNV19GxcLdFcAAAA