x402.forgemesh.io · /text-vectorizer
Vector embeddings API: converts up to 64 pieces of text per call into 768-dimensional numeric vectors suitable for similarity comparison, no separate provider account or key needed. Pay per call in USDC, and nothing submitted is retained afterward. Use it to build semantic search indexes, cluster related documents, or de-duplicate near-identical text at scale.
Listing completeness · 80/100
Presence of published information only. Not a security, reliability or performance score. Same rules for Datoka and external listings.
- Name and traceable source
- 10/10 · Present
- Meaningful description
- 10/10 · Present
- Connection or installation reference
- 20/20 · Present
- Dedicated documentation or source repository
- 0/15 · Missing or insufficient
- Explicit free access or numeric tariff
- 20/20 · Present
- Declared integration protocol
- 10/10 · Present
- Source updated within 90 days
- 10/10 · Present
- Declared capability names
- 0/5 · Missing or insufficient
Evaluated 2026-10-15 · Method listing-completeness-1. Scoring rules
Connect & use
Connect through the publisher’s supported interface. Any credentials or payments are handled by the provider.
x402 resource
https://x402.forgemesh.io/text-vectorizerRead the current payment requirements with a compatible client before authorizing a call.
Categories and declared capabilities
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Evidence, with its limits.
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