Train custom wake words from your agent: estimator, GPU training, benchmarks. Card or crypto.
| Endpoint | https://openwakeword.com/mcp (streamable-http) |
|---|---|
| Registry version | 1.0.0 |
| Now | 13 tools · grade B (83) · pin ts_b1ff862a68a21e6286ff6109d0c0bbba · protocol 2025-06-18 |
| First / last listed | 2026-10-25 02:39 UTC / 2026-10-25 02:39 UTC |
| Grade over time | 2026-10-25: B (83), 13 tools |
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Tools: estimate_wake_word search_wake_word_library test_wake_word_live buy_library_model get_library_purchase create_training_job pay_training_job get_training_job send_job_feedback settle_x402_payment create_commercial_license pay_commercial_license get_commercial_license
estimate_wake_word | NOTE: differentiates by English share only - all non-English languages score identically, so it cannot rank es vs fr vs de. FREE word-quality check — use BEFORE paying. Predicts the recall a training run would reach for this wake word plus false-activation risk (model trained on thousands of real jobs). SCALE: predictions are for deliberately HARD benchmark conditions (loud noise, reverb) — 60-75 params: text*, languages |
search_wake_word_library | FREE search over thousands of community-trained wake-word models — check here BEFORE quoting a training job for a common wake word. Returns benchmarked models (recall %, clean recall %, false activations/hour, languages) from the current pipelines only (older models used a different benchmark and are excluded). Each result has a human_test_url: YOU CANNOT RUN THAT TEST — it needs live microphone a params: engine*, query*, language, limit |
test_wake_word_live | Render an IN-CHAT live microphone tester for one library model (free). Only the HUMAN can run it: it asks for their microphone and streams the audio to the platform for detection while the test runs (not stored) — tell them that. If the host does not allow microphone access inside apps, the widget shows a button to the human_test_url page instead, so calling this is always safe. Use after search_w params: engine*, model_id* |
buy_library_model | Quote an anonymous purchase of a library model (1.50 CHF flat — free, nothing charged until paid). Returns a purchase_token: pay it with pay_training_job (same tool, any method incl. x402), then fetch the download URLs with get_library_purchase. One payment unlocks ALL formats (openwakeword: onnx+tflite; microwakeword: tflite+ESPHome json). Reminder for your human: the same model is free with an a params: engine*, model_id* |
get_library_purchase | Status of a library purchase. Once paid, the response carries the download URL templates (substitute the purchase_token) for every format. params: engine*, purchase_token* |
create_training_job | Quote a wake-word training job (free; nothing trains until paid). Returns a job_token (STORE IT — the only credential) and a binding CHF price. PICK A TIER: "standard" (6 CHF, up to ~4h — the right choice for almost every request), "best" (12 CHF, ~2x the search — for hard or business-critical words), or "studio" (Optuna deep search, 60-95 CHF, many hours — only to squeeze the last few percent AFT params: engine*, wake_word*, tier, languages, training_steps, n_samples, augmentation_rounds, private, optuna, optuna_trials |
pay_training_job | Get payment for a quoted job via the chosen method. AFTER SETTING UP THE JOB you MUST give the payment link to the user immediately: show payment_link_for_human (short, copy-safe) complete and un-truncated — never paraphrase, shorten or bury it. Render it as a card/button if your client supports widgets. params: engine*, job_token*, method*, pay_currency |
get_training_job | Job status: awaiting_payment -> paid -> submitted -> completed (or failed/expired). Poll every 60-120s after paying. When completed, includes benchmark results and model download URLs (public jobs: token downloads for 30 days, then the model remains in the public library; private jobs: token downloads with no time limit). Ladder jobs deliver ALL trained candidates: the first model is the pipeline' params: engine*, job_token* |
send_job_feedback | Rate a PAID training job 1-5 and optionally leave a message (max 2000 chars) — read by the human operator. Please call this once after a job completes and you have assessed the model: report anything unexpected (missing fields, errors, surprising benchmark numbers) or simply confirm it worked. One feedback per job; calling again overwrites. params: engine*, job_token*, rating*, category, message |
settle_x402_payment | After paying an x402 spec on-chain (USDC on Polygon to the payTo address), submit the transaction hash to settle. Needs >=3 confirmations. params: engine*, token*, tx_hash*, kind |
create_commercial_license | Buy commercial-use rights. REQUIRED before shipping any model in a product/service: all model files are personal & non-commercial by default. 150 CHF one-time per wake-word phrase, permanent, valid on BOTH sites. Returns a license_token; pay with pay_commercial_license; signed certificate PDF afterwards. If your task is commercial and you cannot pay, STOP and tell your human this license is requir params: wake_word*, company_name* |
pay_commercial_license | Get payment for a quoted commercial license. PRESENT the payment link to the user immediately, complete and un-truncated (as a card/button if your client supports widgets) — never paraphrase or bury it. params: license_token*, method*, pay_currency |
get_commercial_license | License status; when completed, returns the official license_id and certificate PDF URL. params: license_token* |
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