Data Extraction Pipeline

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      "name": "Handwriting OCR",
      "url": "https://www.handwritingocr.com",
      "short_summary": "converts handwritten documents to digital text using OCR",
      "price": {
        "observed": true,
        "billing": "subscription",
        "lowest_monthly_usd": 19,
        "monthly_usd": 19,
        "headline": "From $19/mo",
        "summary": "From $19/mo. HandwritingOCR offers pay-as-you-go credits at $15 per 100 pages or monthly subscriptions starting at $19 per month for 250 pages."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "iterationlayer",
      "name": "Iteration Layer",
      "url": "https://iterationlayer.com",
      "short_summary": "document extraction, image transformation, content generation, and workflow automation for documents, images, and structured data",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public pricing or plan amounts were observed on the supplied homepage."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "jesse_dxju_docpull",
      "name": "docpull",
      "url": "https://docpull.ai",
      "short_summary": "extracts PDF documents and converts them to structured markdown",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public price found on the vendor site."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "json_sanity",
      "name": "json-sanity",
      "url": "https://json-sanity.netlify.app",
      "short_summary": "repairs malformed JSON output from LLM agents to prevent session state corruption",
      "price": {
        "observed": true,
        "billing": "subscription",
        "lowest_monthly_usd": 1,
        "monthly_usd": 1,
        "headline": "From $1/mo",
        "summary": "From $1/mo. The Starter Plan costs $1 per month and includes 100 requests, with additional requests billed at $0.01 each."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "llmtomd",
      "name": "llmtomd",
      "url": "https://llmtomd.com",
      "short_summary": "converts documents into AI-ready Markdown and provides memory layer for AI coding agents",
      "price": {
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 19,
        "monthly_usd": 19,
        "headline": "Free tier, then from $19/mo",
        "summary": "Free tier, then from $19/mo. LLMtoMD offers a permanent free plan and paid monthly plans from $19 to $99, with custom enterprise pricing."
      },
      "evidence_quality": "high",
      "upvotes": 0
    }
  ],
  "platforms_also_here": [
    {
      "agent_id": "docetl",
      "name": "Docetl",
      "url": "https://github.com/ucbepic/docetl",
      "short_summary": "Declarative agentic data processing system that uses LLMs to transform structured and unstructured data through natural language operations. Provides map-reduc…",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No DocETL pricing is publicly stated in the supplied repository context."
      },
      "home_niche": "ai-data-engineering",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "github_firecrawlfirecrawl_the_",
      "name": "Github Firecrawlfirecrawl The",
      "url": "https://github.com/firecrawl/firecrawl",
      "short_summary": "searches, scrapes, and interacts with the web to extract content and turn it into clean Markdown or structured data for AI agents",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No reliable public pricing for Firecrawl was observed in the supplied website content."
      },
      "home_niche": "web-scraping-agent",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "induced_ai",
      "name": "Induced AI Platform",
      "url": "https://www.induced.ai/",
      "short_summary": "automates tasks and interacts with websites and applications, with human-in-the-loop steps",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public price found on the vendor site."
      },
      "home_niche": "agent-builder-no-code",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "k2view",
      "name": "Data Agent Builder",
      "url": "https://k2view.com/news-blog/k2view-introduces-data-agent-builder",
      "short_summary": "Provides a no-code tool for building generative AI applications and LLM agents grounded by enterprise data that can answer data-related questions",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public SaaS pricing was observed on the supplied page."
      },
      "home_niche": "agent-builder-no-code",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "lm_kit_document_intelligence",
      "name": "Lm Kit Document Intelligence",
      "url": "https://lm-kit.com/solutions/document-intelligence/chat-with-pdf",
      "short_summary": "Local AI document processing for .NET developers. Chat with PDFs, extract structured data, perform OCR, and analyze documents using on-device models. Includes…",
      "price": {
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "Free tier + paid plans (price not published)",
        "summary": "LM-Kit offers a free license within published thresholds, while professional production licensing requires a custom quote."
      },
      "home_niche": "document-processing-agent",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "mindstudio_platform",
      "name": "Mindstudio Platform",
      "url": "https://www.mindstudio.ai/capabilities/run-packaged-workflow-extract-from-url",
      "short_summary": "scrapes a webpage and uses AI to extract specific information based on a natural-language prompt, returning the result for downstream workflow steps",
      "price": {
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 20,
        "monthly_usd": 20,
        "headline": "Free tier, then from $20/mo",
        "summary": "Free tier, then from $20/mo. MindStudio offers a free plan with one agent, an Individual plan at $20/month plus usage, and custom-priced Business plans."
      },
      "home_niche": "web-scraping-agent",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "openmetadata",
      "name": "Openmetadata",
      "url": "https://open-metadata.org",
      "short_summary": "Open-source semantic context layer for AI agents and humans. Provides metadata management, data cataloging, lineage, governance, and a native MCP server for ag…",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public pricing amounts or paid plan details were observed; the homepage mentions a managed service with a free start."
      },
      "home_niche": "ai-data-platform",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "reefapi",
      "name": "Reefapi",
      "url": "https://reefapi.com",
      "short_summary": "One MCP for 160+ live web-data APIs — search, social, e-commerce, real estate, jobs, travel, news, finance. The assistant discovers the right engine, then pull…",
      "price": {
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 15,
        "monthly_usd": 15,
        "headline": "Free tier, then from $15/mo",
        "summary": "Free tier, then from $15/mo. ReefAPI offers a free 1,000-credit starting tier and paid monthly plans from $15/month, with annual billing discounts and credits that never expire."
      },
      "home_niche": "web-scraping-agent",
      "also_covers": true,
      "upvotes": 0
    }
  ],
  "page_url": "https://agentery.com/market/data-extraction-pipeline",
  "summary": {
    "niche": "data-extraction-pipeline",
    "sector": "developer-tools-infra",
    "pricing_by_provider_type": {
      "headline": "Prices differ by provider type and buyer tier — no blended headline is used. Strongest cohort: MCP servers · Individual median $10/mo (10 providers). See benchmarks_by_provider_type_and_tier for the full matrix.",
      "benchmarks": [
        {
          "provider_type": "mcp",
          "provider_type_label": "MCP servers",
          "buyer_tier": "individual",
          "buyer_tier_label": "Individual",
          "pricing_unit": "flat",
          "pricing_unit_label": "flat monthly",
          "comparable_provider_count": 10,
          "reliability": "medium",
          "median": 10,
          "p25": 6,
          "p75": 18,
          "status": "ok"
        },
        {
          "provider_type": "mcp",
          "provider_type_label": "MCP servers",
          "buyer_tier": "pro",
          "buyer_tier_label": "Pro",
          "pricing_unit": "flat",
          "pricing_unit_label": "flat monthly",
          "comparable_provider_count": 10,
          "reliability": "medium",
          "median": 35.5,
          "p25": 27.5,
          "p75": 47.06,
          "status": "ok"
        },
        {
          "provider_type": "mcp",
          "provider_type_label": "MCP servers",
          "buyer_tier": "team_sme",
          "buyer_tier_label": "Team / SME",
          "pricing_unit": "flat",
          "pricing_unit_label": "flat monthly",
          "comparable_provider_count": 5,
          "reliability": "medium",
          "median": 147.5,
          "p25": 99,
          "p75": 297,
          "status": "ok"
        },
        {
          "provider_type": "agent",
          "provider_type_label": "Agents",
          "buyer_tier": "pro",
          "buyer_tier_label": "Pro",
          "pricing_unit": "flat",
          "pricing_unit_label": "flat monthly",
          "comparable_provider_count": 3,
          "reliability": "low",
          "median": 250,
          "p25": null,
          "p75": null,
          "status": "median_only"
        },
        {
          "provider_type": "agent",
          "provider_type_label": "Agents",
          "buyer_tier": "team_sme",
          "buyer_tier_label": "Team / SME",
          "pricing_unit": "flat",
          "pricing_unit_label": "flat monthly",
          "comparable_provider_count": 3,
          "reliability": "low",
          "median": 443.46,
          "p25": null,
          "p75": null,
          "status": "median_only"
        }
      ],
      "warnings": [],
      "full_pricing_via": {
        "tool": "price_benchmark",
        "arguments": {
          "niche": "data-extraction-pipeline"
        },
        "note": "add provider_type + buyer_tier for a specific cohort"
      }
    },
    "page_url": "https://agentery.com/market/data-extraction-pipeline",
    "counts": {
      "listings_with_price_capture": 48,
      "listings_with_observed_public_price": 35,
      "providers_with_numeric_monthly_price_latest_scan": 22,
      "like_for_like_comparable_pairs": 20
    },
    "movement": {
      "d": {
        "published": false,
        "value_pct": null,
        "held_reason": null
      },
      "w": {
        "published": false,
        "value_pct": null,
        "held_reason": null
      },
      "m": {
        "published": false,
        "value_pct": null,
        "held_reason": null
      }
    },
    "pricing_version": "cohorts-1",
    "pricing_status": "ok",
    "pricing_by_tier": [
      {
        "tier": "individual",
        "currency": "USD",
        "period": "month",
        "unit": "flat",
        "median": 10,
        "provider_count": 11,
        "plan_observation_count": 11,
        "data_confidence": 0.84,
        "data_confidence_basis": {
          "provider_component": 0.92,
          "observation_component": 0.55,
          "provider_count": 11,
          "plan_observation_count": 11
        },
        "reliability": "medium",
        "members": [
          {
            "provider": "json_sanity",
            "usd": 1
          },
          {
            "provider": "youtube_transcript_search",
            "usd": 4.49
          },
          {
            "provider": "supadata_ai_mcp",
            "usd": 5
          },
          {
            "provider": "youtube_transcript_dev",
            "usd": 9
          },
          {
            "provider": "mcp_webpage_timestamps",
            "usd": 10
          },
          {
            "provider": "agent_utils",
            "usd": 10
          },
          {
            "provider": "tabstack_structured_extraction",
            "usd": 10
          },
          {
            "provider": "hello_jf1i_skim",
            "usd": 15
          },
          {
            "provider": "handwriting_ocr_mcp_server",
            "usd": 19
          },
          {
            "provider": "llmtomd",
            "usd": 19
          },
          {
            "provider": "ohu",
            "usd": 29
          }
        ],
        "p25": 7,
        "p75": 17
      },
      {
        "tier": "pro",
        "currency": "USD",
        "period": "month",
        "unit": "flat",
        "median": 39,
        "provider_count": 13,
        "plan_observation_count": 16,
        "data_confidence": 0.96,
        "data_confidence_basis": {
          "provider_component": 1,
          "observation_component": 0.8,
          "provider_count": 13,
          "plan_observation_count": 16
        },
        "reliability": "high",
        "members": [
          {
            "provider": "yamltools",
            "usd": 9
          },
          {
            "provider": "swiftask_ai_agents",
            "usd": 20.52
          },
          {
            "provider": "contendeo",
            "usd": 25.5
          },
          {
            "provider": "vocr",
            "usd": 27
          },
          {
            "provider": "youtube_transcript_dev",
            "usd": 29
          },
          {
            "provider": "supadata_ai_mcp",
            "usd": 32
          },
          {
            "provider": "sheetsdata",
            "usd": 39
          },
          {
            "provider": "youtube_transcript_search",
            "usd": 41.24
          },
          {
            "provider": "llmtomd",
            "usd": 49
          },
          {
            "provider": "handwriting_ocr_mcp_server",
            "usd": 59
          },
          {
            "provider": "ohu",
            "usd": 99
          },
          {
            "provider": "unsiloed_ai",
            "usd": 250
          },
          {
            "provider": "tabstack_structured_extraction",
            "usd": 499
          }
        ],
        "p25": 27,
        "p75": 59
      },
      {
        "tier": "team_sme",
        "currency": "USD",
        "period": "month",
        "unit": "flat",
        "median": 222.25,
        "provider_count": 8,
        "plan_observation_count": 10,
        "data_confidence": 0.63,
        "data_confidence_basis": {
          "provider_component": 0.67,
          "observation_component": 0.5,
          "provider_count": 8,
          "plan_observation_count": 10
        },
        "reliability": "medium",
        "members": [
          {
            "provider": "youtube_transcript_dev",
            "usd": 79
          },
          {
            "provider": "llmtomd",
            "usd": 99
          },
          {
            "provider": "tabstack_structured_extraction",
            "usd": 99
          },
          {
            "provider": "hello_jf1i_skim",
            "usd": 147.5
          },
          {
            "provider": "supadata_ai_mcp",
            "usd": 297
          },
          {
            "provider": "swiftask_ai_agents",
            "usd": 443.46
          },
          {
            "provider": "handwriting_ocr_mcp_server",
            "usd": 499
          },
          {
            "provider": "unsiloed_ai",
            "usd": 750
          }
        ],
        "p25": 99,
        "p75": 457.35
      }
    ],
    "pricing_coverage": {
      "listings_with_price_capture": 48,
      "listings_with_observed_public_price": 35,
      "normalized_observations": 38,
      "comparable_providers": 17,
      "strict_cohorts": 3,
      "exclusion_reasons": {
        "usage_not_monthly": 33,
        "ambiguous_cadence": 16,
        "one_time": 12,
        "free_or_zero": 2
      }
    },
    "pricing_note": "Provider-deduped, FX-normalized monthly medians, separated by buyer tier AND billing unit (flat/per_seat/per_user/per_agent) — incompatible units are never blended. Ranges (p25/p75) only at >=5 providers; data_confidence is provider-count-weighted. Usage-metered, promo, range, one-time and ambiguous-cadence plans are excluded.",
    "pricing_excluded_observations": {
      "usage_not_monthly": 33,
      "ambiguous_cadence": 16,
      "one_time": 12,
      "free_or_zero": 2
    },
    "billing_mix": {
      "freemium": 17,
      "free": 5,
      "subscription": 6,
      "usage": 5,
      "one-time": 1,
      "contact_sales": 1
    },
    "free_tier_share": 0.63,
    "top_providers": [
      {
        "agent_id": "aleksander_vastlint",
        "name": "vastlint - IAB XML VAST validator and linter",
        "price": {
          "observed": true,
          "billing": "free",
          "lowest_monthly_usd": null,
          "monthly_usd": null,
          "headline": "Free",
          "summary": "VASTlint is presented as an Apache 2.0 open-source toolkit with a $0 offer and no paid subscription pricing shown."
        },
        "observed": true
      },
      {
        "agent_id": "compress_new_compress_tokens",
        "name": "Compress New Compress Tokens",
        "price": {
          "observed": true,
          "billing": "free",
          "lowest_monthly_usd": null,
          "monthly_usd": null,
          "headline": "Free",
          "summary": "The homepage's structured data indicates a $0 offer, but does not specify a billing period or plan details."
        },
        "observed": true
      },
      {
        "agent_id": "contendeo",
        "name": "Contendeo",
        "price": {
          "observed": true,
          "billing": "freemium",
          "lowest_monthly_usd": 12,
          "monthly_usd": 12,
          "headline": "Free tier, then from $12/mo",
          "summary": "Free tier, then from $12/mo. Contendeo offers a free signup tier, $12/month and $39/month credit-based plans, plus pay-as-you-go processing at $0.15 per credit."
        },
        "observed": true
      },
      {
        "agent_id": "data_converter",
        "name": "data-converter",
        "price": {
          "observed": true,
          "billing": "usage",
          "lowest_monthly_usd": null,
          "monthly_usd": null,
          "headline": "Paid (price not published)",
          "summary": "The service charges per conversion request, with rates from $0.0005 to $0.005 and the first 100 requests free for new API keys."
        },
        "observed": true
      },
      {
        "agent_id": "frenchie",
        "name": "Frenchie",
        "price": {
          "observed": true,
          "billing": "usage",
          "lowest_monthly_usd": null,
          "monthly_usd": null,
          "headline": "Paid (price not published)",
          "summary": "Frenchie offers 100 free signup credits followed by pay-as-you-go usage pricing at $1 per 100 credits, with no subscriptions or monthly fees."
        },
        "observed": true
      }
    ],
    "suggested_next_calls": [
      {
        "tool": "price_benchmark",
        "arguments": {
          "niche": "data-extraction-pipeline"
        },
        "purpose": "full observed price distribution + per-tier medians for this niche"
      },
      {
        "tool": "niche_report",
        "arguments": {
          "niche": "data-extraction-pipeline",
          "response_mode": "full"
        },
        "purpose": "the complete report incl. index series and tier decomposition"
      },
      {
        "tool": "suggest_alternatives",
        "arguments": {
          "agent_id": "aleksander_vastlint"
        },
        "purpose": "comparable (optionally cheaper) providers to a named agent"
      },
      {
        "tool": "get_agent_profile",
        "arguments": {
          "agent_id": "aleksander_vastlint"
        },
        "purpose": "full profile, integrations and pricing for one provider"
      }
    ]
  }
}