estimate_ai_tokens
shallowapp.goaichat/tools · Verify this server
Heuristic estimate (NOT a real per-model BPE tokenizer) of how many tokens a piece of text will become, ported from GO AI's browser-side token counter. Blends a chars/4 and words/0.75 baseline with surcharges for punctuation, digits and non-Latin script; typically within ±10-15% for ordinary English prose and ±15-25% when non-Latin script is detected -- code and heavily punctuated text tend to tokenize denser than this suggests. Also reports whether the text fits a set of context windows (default: 8K/128K/200K/1M/2M tokens, or pass your own) and, if you supply per-million-token prices, an estimated USD cost. Use a provider's own tokenizer for exact billing figures.
1 trials · measured 27 days ago
estimate_ai_tokens scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against app.goaichat/tools, measured 11 Sept 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote
- Credential class
- self-provisionable
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-09-11 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
Embed this score
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[](https://vouch.tools/tools/08c5569e-bd64-4d7e-9f0b-1f1a9a74fb5c)