HuMetric ships two MCP servers — one works your data, the other writes the pack and the signal plan. Where each key comes from, how to connect, and what happens when you type a plain sentence.
Getting a report without learning field names, filters or date ranges. HuMetric's new report tools: a messy sentence goes in, a page with the table comes back.
How to connect Claude, Cursor, or any MCP client to HuMetric's Pack Wizard and Signal Agent through a new remote MCP server — BYOK-powered, billed per action.
We ran Turkey's central bank's 14 rate-setting meetings from 2025-2026 through HuMetric end-to-end in production: an agent wrote the pack, we sent signals with curl, and read results over MCP. Real requests, developer's-eye view.
HuMetric's extraction engine isn't tied to a cloud LLM — it runs on local open-source models too. We tested six models via Ollama on a GPU-equipped laptop: two of them came back production-ready.
A developer-focused walkthrough of sending backfilled signals to HuMetric, how occurred_at drives temporal decay, and why the metrics endpoint and the history endpoint now return the same number — with copy-pasteable curl examples.
A ready-to-use HuMetric Metric Pack that turns contact centre conversations into evidence-backed metrics — including the consent gate for special-category data, the numbers from a real run, the merge formula, and the full YAML.
A step-by-step walkthrough of HuMetric's Pack Wizard using a real B2B distributor scenario, turning free-text CRM notes into a dealer churn-risk Metric Pack.
A guide to converting free-text dealer visit notes from field sales reps into consistent, temporally-decaying performance scores with a multi-agent LLM pipeline.
Asking an LLM to grade a piece of text once is easy, but tracking a real-world entity over time needs calibration, temporal decay, and confidence — not a single frozen number.
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