AI Data Engineering
Query this niche via MCP
niche_report({ niche: "ai-data-engineering" })Agents · median
MCP servers · median
$10/mo
All plans — Agents vs MCPs
each dot = one provider · log scaleMCP servers $10
datagendev · $10
Data Transform · $10
armor · $10
$10
AgentsMCP serversshaded = middle half · line = median
All plans
3 pricedProvidervs its cohort medianMonthly
datagendevmcp
$10 ~median
Data Transformmcp
$10 ~median
armormcp
$10 ~median
Position is relative to the provider's own delivery-type median at this tier — never a blended one.
This page is the human view of the MCP answer. The same structured `niche_report` / `price_benchmark` an agent receives over MCP or REST.
niche_reportprice_benchmark
See the MCP response behind this pageniche_report
{
"niche": "ai-data-engineering",
"parent_sector": "developer-tools-infra",
"provider_type_pricing": {
"slug": "ai-data-engineering",
"pricing_basis": "lowest_observed_monthly_usd",
"provider_type_methodology": "commercial-form-v2",
"provider_type_methodology_published_at": "2026-07-31",
"blended": {
"median": 10,
"p25": null,
"p75": null,
"providers": 3
},
"by_provider_type": {
"agent": {
"median": null,
"p25": null,
"p75": null,
"providers": 0,
"publishable": false,
"confidence": "insufficient",
"reason": "Fewer than three comparable priced Agent-economy products are available."
},
"mcp": {
"median": 10,
"p25": null,
"p75": null,
"providers": 3,
"publishable": true,
"confidence": "provisional"
}
},
"recommended_cohort": null,
"recommendation_reason": "Choose the cohort according to the commercial delivery type being assessed.",
"fallback_context": null,
"context_note": null
},
"crowding_level": "crowded",
"observed_node_count": 18,
"adjacent_niches": [
"ai-frontend-coding",
"mcp-platform-provider",
"incident-response-sre",
"on-call-management-agent",
"database-query-agent",
"infrastructure-provisioning-iac"
],
"market_pulse": {
"pulse": 45,
"drivers": [
"enterprise money present"
],
"price_move_30d_pct": null,
"money_share": 0.6666666666666666,
"entry_rate": 0,
"alive_share": 1
},
"price_move": {
"d_pct": 0,
"w_pct": 0,
"m_pct": 0,
"comparable_agents": 3,
"quarantined_agents": 0,
"confidence": "high",
"published": {
"d": false,
"w": false,
"m": false
},
"held_reason": {
"d": null,
"w": null,
"m": null
},
"driver": {
"d": null,
"w": null,
"m": null
},
"tier_contribution": {
"d": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
},
"w": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
},
"m": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
}
},
"tier_series": {
"individual": [
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100
],
"pro": [
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100
],
"team_sme": [
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100
],
"enterprise": [
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100,
100
]
},
"tier_own_move": {
"d": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
},
"w": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
},
"m": {
"individual": 0,
"pro": 0,
"team_sme": 0,
"enterprise": 0
}
},
"tier_agents": {
"individual": 3,
"pro": 0,
"team_sme": 0,
"enterprise": 0
},
"obs_range": {
"d": null,
"w": null,
"m": null
},
"tier_obs_range": {
"d": {
"individual": null,
"pro": null,
"team_sme": null,
"enterprise": null
},
"w": {
"individual": null,
"pro": null,
"team_sme": null,
"enterprise": null
},
"m": {
"individual": null,
"pro": null,
"team_sme": null,
"enterprise": null
}
}
},
"pricing": {
"sampleSize": 22,
"observed": 6,
"byPersona": {
"free": {
"n": 2,
"nPriced": 0,
"reliability": "none",
"median": null,
"p25": null,
"p75": null,
"min": null,
"max": null,
"mean": null,
"stdev": null,
"usageShare": 0
},
"individual": {
"n": 8,
"nPriced": 5,
"reliability": "medium",
"median": 10,
"p25": 0.1,
"p75": 10,
"min": 0.1,
"max": 10,
"mean": 6.04,
"stdev": 5.42,
"usageShare": 0.63
},
"pro": {
"n": 1,
"nPriced": 1,
"reliability": "none",
"median": 2,
"p25": 2,
"p75": 2,
"min": 2,
"max": 2,
"mean": 2,
"stdev": 0,
"usageShare": 1
},
"team_sme": {
"n": 1,
"nPriced": 1,
"reliability": "none",
"median": 4,
"p25": 4,
"p75": 4,
"min": 4,
"max": 4,
"mean": 4,
"stdev": 0,
"usageShare": 1
},
"enterprise": {
"n": 4,
"nPriced": 1,
"reliability": "none",
"median": 3,
"p25": 3,
"p75": 3,
"min": 3,
"max": 3,
"mean": 3,
"stdev": 0,
"usageShare": 0.25
}
},
"byPersonaMonthly": {
"free": {
"nMonthly": 0,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 0,
"mixedBilling": false,
"monthlyComparable": false
},
"individual": {
"nMonthly": 0,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 0.63,
"mixedBilling": true,
"monthlyComparable": false
},
"pro": {
"nMonthly": 0,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 1,
"mixedBilling": false,
"monthlyComparable": false
},
"team_sme": {
"nMonthly": 0,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 1,
"mixedBilling": false,
"monthlyComparable": false
},
"enterprise": {
"nMonthly": 0,
"p25": null,
"median": null,
"p75": null,
"confidence": "none",
"usageShare": 0.25,
"mixedBilling": true,
"monthlyComparable": false
}
},
"byTierCohorts": {
"status": "ok",
"cohorts": [
{
"tier": "individual",
"currency": "USD",
"period": "month",
"unit": "flat",
"median": 10,
"provider_count": 3,
"plan_observation_count": 3,
"data_confidence": 0.23,
"data_confidence_basis": {
"provider_component": 0.25,
"observation_component": 0.15,
"provider_count": 3,
"plan_observation_count": 3
},
"reliability": "low",
"members": [
{
"provider": "datagendev",
"usd": 10
},
{
"provider": "data_transform",
"usd": 10
},
{
"provider": "armor",
"usd": 10
}
]
}
],
"rejected": {
"usage_not_monthly": 5,
"free_or_zero": 3,
"ambiguous_cadence": 3
},
"evidence": {
"status": "ok",
"single_observations": [],
"observed_offers": [
{
"billing": "monthly",
"unit": "flat",
"count": 3,
"offers": [
{
"provider": "armor",
"tier": "individual",
"billing": "monthly",
"unit": "flat",
"price": "$10/mo",
"monthly_usd": 10
},
{
"provider": "data_transform",
"tier": "individual",
"billing": "monthly",
"unit": "flat",
"price": "$10/mo",
"monthly_usd": 10
},
{
"provider": "datagendev",
"tier": "individual",
"billing": "monthly",
"unit": "flat",
"price": "$10/mo",
"monthly_usd": 10
}
]
},
{
"billing": "usage",
"unit": "flat",
"count": 2,
"offers": [
{
"provider": "armor",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$0.10 / 1K",
"monthly_usd": null
},
{
"provider": "datagendev",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$0.10 / 1K",
"monthly_usd": null
}
]
},
{
"billing": "usage",
"unit": "other_usage",
"count": 3,
"offers": [
{
"provider": "cortex_code",
"tier": "pro",
"billing": "usage",
"unit": "other_usage",
"price": "$2.00 / per credit ($USD)",
"monthly_usd": null
},
{
"provider": "cortex_code",
"tier": "enterprise",
"billing": "usage",
"unit": "other_usage",
"price": "$3.00 / per credit ($USD)",
"monthly_usd": null
},
{
"provider": "cortex_code",
"tier": "team_sme",
"billing": "usage",
"unit": "other_usage",
"price": "$4.00 / per credit ($USD)",
"monthly_usd": null
}
]
},
{
"billing": "unspecified_period",
"unit": "flat",
"count": 3,
"offers": [
{
"provider": "armor",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Contact us",
"monthly_usd": null
},
{
"provider": "data_transform",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Contact us",
"monthly_usd": null
},
{
"provider": "datagendev",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Contact us",
"monthly_usd": null
}
]
}
],
"coverage": {
"priced_providers": 4,
"normalized_observations": 3,
"comparable_providers": 3,
"strict_cohorts": 1,
"exclusion_reasons": {
"usage_not_monthly": 5,
"free_or_zero": 3,
"ambiguous_cadence": 3
}
}
}
},
"billingMix": {
"usage": 1,
"free": 2,
"freemium": 3
},
"freeTierShare": 0.83,
"medianLowestUsd": 10
},
"movement": null,
"index_series": {
"series": [
{
"day": "2026-07-19",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-07-20",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-07-21",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-07-22",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-07-23",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-07-24",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-07-25",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-07-26",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-07-27",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-07-28",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-07-29",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-07-30",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-07-31",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-08-01",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-08-02",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-08-03",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-08-04",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-08-05",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-08-06",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-08-07",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-08-08",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-08-09",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-08-10",
"index": 100,
"pairs": 0,
"dayChangePct": 0
},
{
"day": "2026-08-11",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-08-12",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-08-13",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-08-14",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-08-15",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-08-16",
"index": 100,
"pairs": 3,
"dayChangePct": 0
},
{
"day": "2026-08-17",
"index": 100,
"pairs": 3,
"dayChangePct": 0
}
],
"latest": 100,
"day_change_pct": 0,
"methodology": "Chained daily price index, base 100 on the first priced scan day (29 Jun 2026). The overall index is the COMPOSITE of the four buyer-tier indices (individual / pro / team&sme / enterprise): each day it moves by the equal-weighted average of the tiers' moves. Each tier index is like-for-like — only agents priced on both consecutive scan days (per-agent ratios, geometric mean, clipped to [0.2, 5]) — so composition changes (agents revealing or hiding prices) can never move it."
},
"top_agents": [
{
"agent_id": "cortex_code",
"name": "Cortex Code",
"url": "https://www.snowflake.com/en/product/features/cortex-code/",
"short_summary": "Data-native AI coding agent that builds data pipelines, analytics, ML models, apps and AI agents from natural language conversations grounded in enterprise dat…",
"price": {
"observed": true,
"billing": "usage",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Paid (price not published)",
"summary": "Snowflake uses consumption-based pricing, with Standard, Enterprise, and Business Critical editions listed at $2, $3, and $4 per credit respectively in the displayed AWS US East region."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "entity_resolution",
"name": "Senzing",
"url": "https://mcp.senzing.com",
"short_summary": "provides entity resolution knowledge to AI assistants via MCP, including data mapping, SDK code generation, documentation search, error troubleshooting, and ER…",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public subscription or usage pricing was observed; the homepage mentions a free evaluation license but provides no plan prices."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "genesis_computing",
"name": "Enterprise-ready AI Data Agents",
"url": "https://genesiscomputing.ai/",
"short_summary": "autonomously executes complete data engineering workflows including data ingestion, source-to-target mapping, writing pipeline code, documentation, testing, gi…",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing was observed on the supplied homepage."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "google_cloud_agent",
"name": "Google Cloud Agent",
"url": "https://docs.cloud.google.com/architecture/agentic-ai-data-science",
"short_summary": "automates data science workflows, running complex data analytics and machine learning tasks via a multi-agent system using natural language commands",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing or subscription plans were observed in the supplied pages."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "ascend_io",
"name": "Agentic data engineering",
"url": "https://ascend.io/agentic-data-engineering",
"short_summary": "automates, optimizes and maintains data engineering pipelines using AI agents (building, monitoring, debugging, fixing issues, writing commit messages, preppin…",
"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": "medium",
"upvotes": 0
},
{
"agent_id": "armor",
"name": "Armor",
"url": "https://smithery.ai/server/anomalyarmor-uib0/armor",
"short_summary": "Data observability for AI agents. Query alerts, monitor freshness, investigate schema drift, and trace lineage across your data warehouse via 53 MCP tools.",
"price": {
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 10,
"monthly_usd": 10,
"headline": "Free tier, then from $10/mo",
"summary": "Free tier, then from $10/mo. Smithery offers a free Hobby tier, a $10/month Pay as you go plan with additional RPC usage at $0.10 per 1K, and custom contact-sales pricing."
},
"evidence_quality": "low",
"upvotes": 0
},
{
"agent_id": "data_transform",
"name": "Data Converter",
"url": "https://smithery.ai/server/data-transform-agent/data-transform",
"short_summary": "Convert data between over 40 formats including JSON, CSV, Excel, and PDF. Restructure complex schemas into custom layouts to ensure seamless data integration.…",
"price": {
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 10,
"monthly_usd": 10,
"headline": "Free tier, then from $10/mo",
"summary": "Free tier, then from $10/mo. Smithery offers a free Hobby plan, a $10/month Pay as You Go plan with usage credits, and custom contact-sales pricing."
},
"evidence_quality": "low",
"upvotes": 0
},
{
"agent_id": "datagendev",
"name": "DataGen",
"url": "https://smithery.ai/server/kuoyusheng/datagendev",
"short_summary": "Run and orchestrate DataGen deployments from validation through execution and monitoring. Generate copy-ready curl commands, input/output schemas, and accessib…",
"price": {
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 10,
"monthly_usd": 10,
"headline": "Free tier, then from $10/mo",
"summary": "Free tier, then from $10/mo. Smithery offers a free Hobby tier, a $10/month Pay as You Go plan with usage credits, usage-based overage pricing, and a custom contact-sales option."
},
"evidence_quality": "low",
"upvotes": 0
},
{
"agent_id": "data_pipeline_skill",
"name": "Data Pipeline Skill",
"url": "https://agentconn.com/skills/data-pipeline/",
"short_summary": "AI-powered ETL pipeline skill for Semantic Kernel that transforms, cleans, and loads data using natural language descriptions instead of scripts. Handles schem…",
"price": {
"observed": true,
"billing": "free",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Free",
"summary": "The Data Pipeline skill is listed with a structured offer of 0USD and is described as open source."
},
"evidence_quality": "unclear",
"upvotes": 0
},
{
"agent_id": "dataspoke_baseline",
"name": "Dataspoke Baseline",
"url": "https://github.com/selhorys/dataspoke-baseline",
"short_summary": "AI-powered sidecar extension for DataHub that adds ingestion control, validation, ontology generation, metadata generation, and governance. Includes an AI scaf…",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing is shown for DataSpoke in the supplied repository homepage content."
},
"evidence_quality": "unclear",
"upvotes": 0
}
],
"platforms_also_here": [
{
"agent_id": "docsdatabrickscom",
"name": "Docsdatabrickscom",
"url": "https://docs.databricks.com/aws/en/generative-ai/agent-framework/agent-tool",
"short_summary": "documentation for connecting AI agent tools and data, including searching documents, querying databases, calling REST APIs, and running custom code via MCP ser…",
"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": "developer-portal-api-docs",
"also_covers": true,
"upvotes": 0
}
],
"page_url": "https://agentery.com/market/ai-data-engineering",
"summary": {
"niche": "ai-data-engineering",
"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 (3 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": 3,
"reliability": "low",
"median": 10,
"p25": null,
"p75": null,
"status": "median_only"
}
],
"warnings": [
"This niche currently has sufficient MCP pricing but insufficient agent pricing."
],
"full_pricing_via": {
"tool": "price_benchmark",
"arguments": {
"niche": "ai-data-engineering"
},
"note": "add provider_type + buyer_tier for a specific cohort"
}
},
"page_url": "https://agentery.com/market/ai-data-engineering",
"counts": {
"listings_with_price_capture": 22,
"listings_with_observed_public_price": 6,
"providers_with_numeric_monthly_price_latest_scan": null,
"like_for_like_comparable_pairs": null
},
"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": 3,
"plan_observation_count": 3,
"data_confidence": 0.23,
"data_confidence_basis": {
"provider_component": 0.25,
"observation_component": 0.15,
"provider_count": 3,
"plan_observation_count": 3
},
"reliability": "low",
"members": [
{
"provider": "datagendev",
"usd": 10
},
{
"provider": "data_transform",
"usd": 10
},
{
"provider": "armor",
"usd": 10
}
]
}
],
"pricing_coverage": {
"listings_with_price_capture": 22,
"listings_with_observed_public_price": 6,
"normalized_observations": 3,
"comparable_providers": 3,
"strict_cohorts": 1,
"exclusion_reasons": {
"usage_not_monthly": 5,
"free_or_zero": 3,
"ambiguous_cadence": 3
}
},
"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": 5,
"free_or_zero": 3,
"ambiguous_cadence": 3
},
"billing_mix": {
"usage": 1,
"free": 2,
"freemium": 3
},
"free_tier_share": 0.83,
"top_providers": [
{
"agent_id": "cortex_code",
"name": "Cortex Code",
"price": {
"observed": true,
"billing": "usage",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Paid (price not published)",
"summary": "Snowflake uses consumption-based pricing, with Standard, Enterprise, and Business Critical editions listed at $2, $3, and $4 per credit respectively in the displayed AWS US East region."
},
"observed": true
},
{
"agent_id": "entity_resolution",
"name": "Senzing",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public subscription or usage pricing was observed; the homepage mentions a free evaluation license but provides no plan prices."
},
"observed": false
},
{
"agent_id": "genesis_computing",
"name": "Enterprise-ready AI Data Agents",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing was observed on the supplied homepage."
},
"observed": false
},
{
"agent_id": "google_cloud_agent",
"name": "Google Cloud Agent",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing or subscription plans were observed in the supplied pages."
},
"observed": false
},
{
"agent_id": "ascend_io",
"name": "Agentic data engineering",
"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."
},
"observed": false
}
],
"suggested_next_calls": [
{
"tool": "price_benchmark",
"arguments": {
"niche": "ai-data-engineering"
},
"purpose": "full observed price distribution + per-tier medians for this niche"
},
{
"tool": "niche_report",
"arguments": {
"niche": "ai-data-engineering",
"response_mode": "full"
},
"purpose": "the complete report incl. index series and tier decomposition"
},
{
"tool": "suggest_alternatives",
"arguments": {
"agent_id": "cortex_code"
},
"purpose": "comparable (optionally cheaper) providers to a named agent"
},
{
"tool": "get_agent_profile",
"arguments": {
"agent_id": "cortex_code"
},
"purpose": "full profile, integrations and pricing for one provider"
}
]
}
}Full market
5 providers, one sortable view
Dense enough for many listings; progressive disclosure keeps mobile usable.
ProviderTypeFromVs niche medianLiveness
AArmorData observability for AI agents. Query alerts, monitor freshness, investigate schema drift, and trace lineage across your data warehouse via 53 MCP tools.
mcp$10from / mo—100% liveDCData ConverterConvert data between over 40 formats including JSON, CSV, Excel, and PDF. Restructure complex schemas into custom layouts to ensure seamless data integration.…
mcp$10from / mo—100% liveDDataGenRun and orchestrate DataGen deployments from validation through execution and monitoring. Generate copy-ready curl commands, input/output schemas, and accessib…
mcp$10from / mo—100% live
Data Pipeline SkillAI-powered ETL pipeline skill for Semantic Kernel that transforms, cleans, and loads data using natural language descriptions instead of scripts. Handles schem…Showing only providers with a published price or a free plan. $29 = lowest observed monthly · Free = free to use · Free tier = free plan + paid options.