{"slug":"tanod-dev-v1-embed-multimodal-c339e9","title":"mlpeek (Tanod) multimodal embeddings","host":"tanod.dev","method":"POST","resource":"https://tanod.dev/v1/embed/multimodal","category":"image","description":"mlpeek (Tanod) multimodal embeddings: texts and images in one 768-dim vector space (EmbeddingGemma 2, CPU), per item. USD 0.002 per item (1-16 items per call: USD 0.002-0.032). This call: 1 item. Use when an agent needs images and texts embedded in one vector space, for text-to-image search or dupli","price_listed":0.002,"price_asked":0.002,"state":"answering","state_label":"Answering","checks_7d":3,"answered_7d":3,"latency_ms_median":363,"reported_calls_30d":1,"reported_payers_30d":1,"networks":["eip155:137","eip155:42161","eip155:56","eip155:8453","solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp"],"badge":"unverified","paid_checks_7d":0,"paid_ok_7d":0,"example_input":{"body":{"items":[{"image_url":"https://tanod.dev/icon.png"}]},"bodyType":"json","method":"POST","type":"http"},"output_schema":{"$schema":"https://json-schema.org/draft/2020-12/schema","properties":{"input":{"additionalProperties":false,"properties":{"body":{"additionalProperties":false,"properties":{"dimensions":{"default":768,"description":"768 (default), 512, 256 or 128: the leading values, re-norm…","enum":[768,512,256,128],"type":"integer"},"encoding":{"default":"float","description":"base64 = little-endian float32 bytes.","enum":["float","base64"],"type":"string"},"image_detail":{"default":"standard","description":"Vision tokens per image: low (70), standard (140) or high (…","enum":["low","standard","high"],"type":"string"},"input_type":{"default":"none","description":"Task prefix for text items (images get none): query (search…","enum":["none","query","document","question","fact_check","code_query","classification","clustering","similarity"],"type":"string"},"items":{"description":"1-16 items, each {text}, {image_url} or {image_base64}; eve…","items":{"additionalProperties":false,"properties":{"image_base64":{"default":null,"description":"An image as standard or url-safe base64 (at most 10 MB deco…","maxLength":13333464,"minLength":1,"type":["string","null"]},"image_url":{"default":null,"description":"Public http(s) URL of an image (PNG, JPEG, WebP, GIF, TIFF,…","maxLength":2048,"minLength":1,"type":["string","null"]},"text":{"default":null,"description":"A text, at most 8,000 characters (cut at 2,048 tokens, repo…","maxLength":8000,"minLength":1,"type":["string","null"]}},"type":"object"},"maxItems":16,"minItems":1,"type":"array"}},"required":["items"],"type":"object"},"bodyType":{"enum":["json","form-data","text"],"type":"string"},"method":{"enum":["POST"],"type":"string"},"type":{"const":"http","type":"string"}},"required":["type","method","bodyType","body"],"type":"object"}},"required":["input"],"type":"object"},"history":[{"day":"2026-11-04","reachable":true,"status":402,"valid_402":true,"asked_usdc":0.002,"price_match":true,"latency_ms":363,"error":null},{"day":"2026-11-03","reachable":true,"status":402,"valid_402":true,"asked_usdc":0.002,"price_match":true,"latency_ms":458,"error":null},{"day":"2026-11-02","reachable":true,"status":402,"valid_402":true,"asked_usdc":0.002,"price_match":true,"latency_ms":290,"error":null}],"description_full":"mlpeek (Tanod) multimodal embeddings: texts and images in one 768-dim vector space (EmbeddingGemma 2, CPU), per item. USD 0.002 per item (1-16 items per call: USD 0.002-0.032). This call: 1 item. Use when an agent needs images and texts embedded in one vector space, for text-to-image search or duplicate photos.","last_updated":"2026-11-02T12:23:51.387Z","schemes":["exact"]}