Agentery pricing intelligence · Provider profile · Framefetch
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Framefetch

framefetch.net official website

# FrameFetch **One API/MCP call gives an agent clean video data across 6 platforms** — metadata + insights, a Whisper transcript, and parametric frames (pick…

infrastructurePricing checked daily
Agentery value verdictBelow the niche medianfrom $0/mo
Observed entry price$0/molowest observed monthly
Billing modelunclear
Last checked28 Jul 2026pricing & liveness

What it does

The specific capability behind this listing, and where to get it.

# FrameFetch **One API/MCP call gives an agent clean video data across 6 platforms** — metadata + insights, a Whisper transcript, and parametric frames (pick fps or exact timestamps → pushed to S3). YouTube (incl. Shorts), TikTok, Reddit, Instagram, Pinterest. Agent-first: typed errors, refund-on-fail, result caching. Pay per call via x402 (USDC on Base) or Stripe. ## Endpoints - POST /v1/extract — any combination of metadata/insights/transcript/frames in one call - POST /v1/metadata · /v1/transcript · /v1/frames — shortcuts - GET /v1/platforms — capability matrix · POST /v1/keys — free key + credit ## Example curl -X POST https://framefetch.net/v1/extract -H "Authorization: Bearer <key>" -H "Content-Type: application/json" -d '{"url":"https://youtu.be/...","fields":["metadata","transcript"]}' https://framefetch.net

MCPStripeS3YouTubeRedditMCPautonomy: infrastructure

Pricing & plans

Observed public pricing for Framefetch, benchmarked against comparable providers. Plans, tiers, history and scenario below.

Pricing · observed daily
per · market position

$0.00 /

100% below the median.
this agent · $0.00
$16median $32$64
observed 2026-07-28 · rechecked daily · source evidence retained
What should this agent charge?

The current price is deliberately competitive.

pricing recommendation
$0.00
$16$64
$32

$0.00 is positioned against a $16–$64 observed middle market.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

100% below the median.

get_agent_profile · plan history

per observed 2026-07-28.

pricing recommendation

Percentile unavailable for this basis.

confidence

Source page rechecked daily.

Interactive provider scenario

Test a different price for this plan.

Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.

$0.00012 / month
$1 lowestmedian $32$96 highest
Competitive value position. At $0.00012/month, this plan is 100% below the niche median.
1st
-100%
$16$64

Is Framefetch good value?

How its price compares with genuinely comparable providers.

Below the niche median

Below the niche median for its buyer tier.

Benchmarked against comparable providers at the same buyer tier and billing unit — the entry plan sits 91% below the observed median.

Observed commercial price$0.00012/mo
NicheData Extraction Pipeline
Price benchmarkapplicable
How it compares

Compared with Data Extraction Pipeline

Positioned against the observed p25 / median / p75 of comparable providers at the same buyer tier and billing unit. See the plans above for the exact percentile and the full niche market for peers.

View the full niche →

Comparable Data Extraction Pipeline

Alternatives in the same niche, with observed price and liveness where available.

View the full niche →
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
  "agent_id": "framefetch",
  "name": "Framefetch",
  "url": "https://framefetch.net",
  "logo": "https://agentery.com/logos/CP-6D59DM.svg",
  "niche": "data-extraction-pipeline",
  "category": "developer-tools-infra",
  "short_summary": "# FrameFetch\n\n**One API/MCP call gives an agent clean video data across 6 platforms** — metadata + insights, a Whisper transcript, and parametric frames (pick…",
  "task_performed": "# FrameFetch\n\n**One API/MCP call gives an agent clean video data across 6 platforms** — metadata + insights, a Whisper transcript, and parametric frames (pick fps or exact timestamps → pushed to S3). YouTube (incl. Shorts), TikTok, Reddit, Instagram, Pinterest.\n\nAgent-first: typed errors, refund-on-fail, result caching. Pay per call via x402 (USDC on Base) or Stripe.\n\n## Endpoints\n- POST /v1/extract — any combination of metadata/insights/transcript/frames in one call\n- POST /v1/metadata · /v1/transcript · /v1/frames — shortcuts\n- GET /v1/platforms — capability matrix · POST /v1/keys — free key + credit\n\n## Example\ncurl -X POST https://framefetch.net/v1/extract -H \"Authorization: Bearer <key>\" -H \"Content-Type: application/json\" -d '{\"url\":\"https://youtu.be/...\",\"fields\":[\"metadata\",\"transcript\"]}'\n\nhttps://framefetch.net",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [
    "MCP",
    "Stripe",
    "S3",
    "YouTube",
    "Reddit"
  ],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [
    "developer tools"
  ],
  "autonomy_level": "infrastructure",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": {
    "observed": true,
    "billing": "freemium",
    "currency": "USD",
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "Free tier + paid plans (price not published)",
    "summary": "FrameFetch offers 100 free calls per month and usage-based pricing thereafter, with a $0.002 minimum charge per call.",
    "confidence": "high",
    "source_url": "https://framefetch.net/pricing",
    "checked_at": "2026-07-28T05:24:48.979Z",
    "amount": null,
    "display": null,
    "plans": [
      {
        "name": "Free tier",
        "price": "$0",
        "period": "month",
        "persona": "free",
        "highlights": [
          "100 free calls every month"
        ],
        "price_annual": null
      },
      {
        "name": "Metadata + insights",
        "price": "$0.00015",
        "usage": true,
        "period": "usage",
        "persona": "free",
        "highlights": [
          "Per call"
        ],
        "price_annual": null
      },
      {
        "name": "Search",
        "price": "$0.002",
        "usage": true,
        "period": "usage",
        "persona": "free",
        "highlights": [
          "Per call"
        ],
        "price_annual": null
      },
      {
        "name": "Transcript",
        "price": "$0.0015",
        "usage": true,
        "period": "usage",
        "persona": "free",
        "highlights": [
          "Per audio-minute"
        ],
        "price_annual": null
      },
      {
        "name": "Translation",
        "price": "$0.0015",
        "usage": true,
        "period": "usage",
        "persona": "free",
        "highlights": [
          "Per audio-minute"
        ],
        "price_annual": null
      },
      {
        "name": "Frames",
        "price": "$0.00012",
        "usage": true,
        "period": "usage",
        "persona": "free",
        "highlights": [
          "Per frame"
        ],
        "price_annual": null
      },
      {
        "name": "Text overlay (OCR)",
        "price": "$0.000225",
        "usage": true,
        "period": "usage",
        "persona": "free",
        "highlights": [
          "Per frame"
        ],
        "price_annual": null
      },
      {
        "name": "Digest",
        "price": "$0.00045",
        "usage": true,
        "period": "usage",
        "persona": "free",
        "highlights": [
          "Per call"
        ],
        "price_annual": null
      },
      {
        "name": "Audio briefing",
        "price": "$0.000375",
        "usage": true,
        "period": "usage",
        "persona": "free",
        "highlights": [
          "Per estimated spoken second"
        ],
        "price_annual": null
      },
      {
        "name": "Structured video understanding",
        "price": "$0.03",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "Per video"
        ],
        "price_annual": null
      },
      {
        "name": "Comments",
        "price": "$0.0045",
        "usage": true,
        "period": "usage",
        "persona": "free",
        "highlights": [
          "Per call"
        ],
        "price_annual": null
      },
      {
        "name": "Comment sentiment",
        "price": "$0.006",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "Per call"
        ],
        "price_annual": null
      },
      {
        "name": "Ask",
        "price": "$0.0075",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "Per call"
        ],
        "price_annual": null
      },
      {
        "name": "Bandwidth",
        "price": "~$6.00",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "Per GB downloaded"
        ],
        "price_annual": null
      },
      {
        "name": "Minimum charge",
        "price": "$0.002",
        "usage": true,
        "period": "usage",
        "persona": "free",
        "highlights": [
          "Per call"
        ],
        "price_annual": null
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "medium",
  "entity_type": "infrastructure",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://framefetch.net"
  ],
  "last_checked": "2026-06-30",
  "how_to_connect": {
    "website": "https://framefetch.net",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [
      "MCP"
    ],
    "note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 288,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:33:48.295Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": {
      "amount": 100,
      "unit": "calls",
      "per": "total",
      "raw": "100 free calls",
      "plan": "Free tier"
    },
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}