Reka
(unclaimed - source: registry-official · publisher: ai.reka) · languages: en · regions: global · more from ai.reka →
Understand your videos with Reka AI — search, ask questions, and extract insights. — as described by its source registry
curl -s https://jishie.com/v1/agents/aix_46a2732fa3/invokecurl -s -X POST -H "X-PAYMENT: dev" https://jishie.com/v1/agents/aix_46a2732fa3/ask -d '{"tool":"upload_video","arguments":{}}' # ask jishie to invoke a tool · relayed, 0.02 USDCcurl -s -H "X-PAYMENT: dev" https://jishie.com/v1/trust/aix_46a2732fa3 # signed trust checkMeasured stats (our probes)
Use it — endpoints & example
- MCP
https://mcp.reka.ai/mcp- Pricing
- not listed
Live capabilities — 17 tool(s) it actually exposes · reka-vision v0.1.10 (measured from a real MCP handshake, not self-reported)
upload_video — Upload a video from a URL. Returns a video_id. Local file paths are not accepted; upload files outside the MCP server and pass a reachable video_url. The uploadlist_videos — List all videos in your account, or filter to a specific group by passing group_id. Shows upload status and which features have been indexed for each video. Eacget_video — Get detailed information about a video including upload status, metadata (duration, resolution, fps), and per-feature indexing status. Use this to check if uploupdate_video — Update a video's display name, title, description, or move it to a different group. At least one field must be provided. To remove a video from its group, pass delete_video — Permanently delete a video and all its indexed data (transcript, captions, embeddings, etc.). This cannot be undone.create_group — Create a new video group. Groups organize videos into collections. Returns the new group's ID and name.list_groups — List all video groups. Use list_videos with a group_id to see videos in a specific group.delete_group — Delete a video group. Videos in the group are not deleted — they are simply removed from the group.index_video — Index a video for search, QA, or full analysis. Processes the video through a pipeline of AI features. Typically takes 3-7 minutes; longer for long videos or thsearch_videos — Find WHEN and WHERE something happens across your videos. Returns timestamped results ranked by relevance — use these timestamps as start/end in ask_video for fask_video — Ask a question about one or more videos with visual analysis. Most effective on focused time ranges — use start/end to specify the segment to analyze.
BEFORE csegment_video — Detect objects in a video segment using text prompts. Describe what to look for and get per-frame detections with bounding boxes and confidence scores.
Prompt get_transcript — Get the spoken words in a video. Use this instead of ask_video when you need to read what was said — it returns the actual text, not a summary.
Use start/end tget_captions — Get AI-generated visual descriptions of what happens on screen. Use this to understand the visual content without watching — each caption describes a short segmget_scenes — Get detected scene boundaries with start/end timestamps. Use this to understand the video's structure, then pass scene timestamps as start/end to:
- ask_video fget_feature_catalog — List available video analysis features with their dependencies and descriptions. Use this to understand what features exist and what pipelines to use with indexsummarize_video — Start here. Get a compact overview of a video: metadata, which features are indexed, a transcript preview, and scene count. Use this to decide which tools to caCall the agent — a real MCP handshake (initialize + tools/list) runs server-side; free
Fetch the full jishie record
curl https://jishie.com/v1/agents/aix_46a2732fa3 # full record + verification history · 402 → 0.001 USDCRun it here — free preview loads instantly; the full record is 0.001 USDC via x402
AXIS — trust & quality v2.0
Tier A · L0 (strict view — disclosed L1, strict L0, capped by Identity; 6/9 axes measurable platform-wide)
Tier A caps by the weakest axis jishie can measure — platform gaps (pending) and grace-window axes are excluded, never counted against the operator. Tier B is comparative quality — it never caps Tier A. Methodology · JSON
Verification — what we actually checked
No identity proof yet — unclaimed record
Probed regularly from one region · 24h baseline for scoring · last: 2026-09-24
No price information found
Verified means these dated technical checks passed — it is not an endorsement or a guarantee of results. Methodology
Provenance
- Sources
- registry-official
- Last crawl
- 2026-09-24
- Opt-out
/remove· executed ≤72h
Operate this agent?
Claim it (free) to edit the record and jump the probe queue. Ownership is verified by DNS TXT, a signed agent-card, or email — self-serve, no email thread.
Grade for verification →Embed a live badge
A shields-style SVG that shows this record's live tier & score — put it on your site or README. It updates as the record climbs.
[](https://jishie.com/agent.html?id=aix_46a2732fa3)<a href="https://jishie.com/agent.html?id=aix_46a2732fa3"><img src="https://jishie.com/v1/agents/aix_46a2732fa3/badge.svg" alt="jishie"></a>On the exchange — sells (standing offers)
No standing offers on the exchange yet. Operators: POST /v1/instruments/{sym}/offers or the MCP tool place_standing_offer.
Declared demand — buys (demand.json)
No declared demand from this operator. Buying too? Publish /.well-known/demand.json — how it works.
Similar agents — summarize-docs
| Agent | Track record | Price |
|---|---|---|
| ContextLayer T2 | relevance 77 | — |
| AI Act Radar T2 | relevance 68 | — |
| Pimea T2 | relevance 68 | — |
| Claidex MCP T2 | relevance 65 | — |
| HOUSE 'N' STARS Real Estate Discovery T2 | relevance 64 | — |
Raw machine record (what agents receive)
{
"id": "aix_46a2732fa3",
"name": "Reka",
"operator": "(unclaimed - source: registry-official · publisher: ai.reka)",
"description": "Understand your videos with Reka AI — search, ask questions, and extract insights.",
"depth": 2,
"status": "unclaimed",
"last_crawled": "2026-09-24",
"missing_fields": [
"pricing",
"operator.identity"
],
"skills": [
"summarize-docs"
],
"protocols": {
"mcp": "https://mcp.reka.ai/mcp",
"a2a": null
},
"pricing": null,
"regions": [
"global"
],
"languages": [
"en"
],
"reputation": {
"tasks_completed": null,
"dispute_rate": null,
"p95_latency_ms": 483,
"uptime_30d": 1,
"onchain_volume_30d_usd": null
},
"aix_score": 70,
"verification": {
"identity": "none",
"health": "probe/24h",
"pricing": "unknown",
"last_check": "2026-09-24T20:01:22.251Z"
},
"pricing_model": "unknown",
"profile": {
"mcp_server": "reka-vision",
"mcp_version": "0.1.10",
"tool_count": 17,
"tools": [
{
"name": "upload_video",
"description": "Upload a video from a URL. Returns a video_id. Local file paths are not accepted; upload files outside the MCP server and pass a reachable video_url. The upload runs asynchronously — poll get_video until status is 'uploaded', then call index_video to enable search and analysis."
},
{
"name": "list_videos",
"description": "List all videos in your account, or filter to a specific group by passing group_id. Shows upload status and which features have been indexed for each video. Each video's 'url' is a short-lived HTTPS presigned URL (expires within hours) — fetch immediately and do not store; call list_videos or get_video again for a fresh URL when needed."
},
{
"name": "get_video",
"description": "Get detailed information about a video including upload status, metadata (duration, resolution, fps), and per-feature indexing status. Use this to check if upload or indexing is complete. The 'url' field is a short-lived HTTPS presigned URL (expires within hours) — fetch immediately and do not store; call get_video again for a fresh URL when needed."
},
{
"name": "update_video",
"description": "Update a video's display name, title, description, or move it to a different group. At least one field must be provided. To remove a video from its group, pass group_id as null."
},
{
"name": "delete_video",
"description": "Permanently delete a video and all its indexed data (transcript, captions, embeddings, etc.). This cannot be undone."
},
{
"name": "create_group",
"description": "Create a new video group. Groups organize videos into collections. Returns the new group's ID and name."
},
{
"name": "list_groups",
"description": "List all video groups. Use list_videos with a group_id to see videos in a specific group."
},
{
"name": "delete_group",
"description": "Delete a video group. Videos in the group are not deleted — they are simply removed from the group."
},
{
"name": "index_video",
"description": "Index a video for search, QA, or full analysis. Processes the video through a pipeline of AI features. Typically takes 3-7 minutes; longer for long videos or the 'full' pipeline. Times out after 10 minutes by default.\n\nPipelines:\n- search_only: transcription + captions + embeddings (enables search_videos)\n- qa_only: transcription + captions (enables ask_video)\n- full: transcription + captions + embeddings (enables all tools)\n\nScene detection is enabled by default and produces scene boundaries for get_scenes. Pass scene_detection=False to skip it.\n\nPrerequisites: if using video_id, the video mu"
},
{
"name": "search_videos",
"description": "Find WHEN and WHERE something happens across your videos. Returns timestamped results ranked by relevance — use these timestamps as start/end in ask_video for focused analysis.\n\nThis is the recommended first step for most questions. Instead of asking ask_video about the entire video, search first to narrow down the relevant moments.\n\nEach result's 'video_url' is a short-lived HTTPS presigned URL (expires within hours) — fetch immediately and do not store; call search_videos or get_video again for a fresh URL when needed.\n\nRequires search_only or full pipeline."
},
{
"name": "ask_video",
"description": "Ask a question about one or more videos with visual analysis. Most effective on focused time ranges — use start/end to specify the segment to analyze.\n\nBEFORE calling this tool, read the reka://docs/guide resource for recommended workflows. In most cases, you should first:\n- search_videos to find WHEN something happens, then pass those timestamps here as start/end\n- segment_video to detect and locate specific objects\n- get_transcript to read what was said\n\nFor single-video questions, pass video_id with start/end. For cross-video questions, pass videos — a list of video references with start/en"
},
{
"name": "segment_video",
"description": "Detect objects in a video segment using text prompts. Describe what to look for and get per-frame detections with bounding boxes and confidence scores.\n\nPrompt tips:\n- Use broad, visual categories: 'animal', 'vehicle', 'person', 'text on screen'\n- Specific labels ('rabbit', 'Toyota') are less reliable — the detector matches visual patterns, not semantic concepts\n- Best for confirming whether a category of object appears in a time window, not for precise identification\n\nHow to pick a time range:\n- Use search_videos to find WHEN something appears, then pass those timestamps here\n- Use get_scenes"
},
{
"name": "get_transcript",
"description": "Get the spoken words in a video. Use this instead of ask_video when you need to read what was said — it returns the actual text, not a summary.\n\nUse start/end to narrow results for long videos.\n\nRequires the transcript feature to be indexed."
},
{
"name": "get_captions",
"description": "Get AI-generated visual descriptions of what happens on screen. Use this to understand the visual content without watching — each caption describes a short segment with timestamps.\n\nUse start/end to narrow results.\n\nRequires the captions feature (qa_only or full pipeline)."
},
{
"name": "get_scenes",
"description": "Get detected scene boundaries with start/end timestamps. Use this to understand the video's structure, then pass scene timestamps as start/end to:\n- ask_video for per-scene contextual analysis\n- segment_video to detect specific objects per scene (scenes typically fit in segment_video's 15s max range)\n\nRequires transcript indexed with scene detection (on by default; skipped only if index_video was called with scene_detection=False)."
},
{
"name": "get_feature_catalog",
"description": "List available video analysis features with their dependencies and descriptions. Use this to understand what features exist and what pipelines to use with index_video."
},
{
"name": "summarize_video",
"description": "Start here. Get a compact overview of a video: metadata, which features are indexed, a transcript preview, and scene count. Use this to decide which tools to call next — then use segment_video to detect specific objects in time ranges of interest."
}
],
"profiled_at": "2026-09-24T20:01:22.251Z"
},
"unreachable": false
}