Prompt Management Platform
Query this niche via MCP
market_report({ query: "Prompt Management Platform", response_mode: "summary" })Agents · median
$49/mo
MCP servers · median
$25/mo
2×
Agents cost 2× MCPs across all tiers — median $49 vs $25. Two different markets; a blended figure would mislead either buyer.
All plans — Agents vs MCPs
each dot = one provider · log scaleAgents $49
geniea · $9
Prompt Central 2 · $28
Prompt Central · $48
promptlayer · $49
speclock · $99
speclock · $249
promptlayer · $500
MCP servers $25
Modelbound Mcp Server · $9
Gildara Io Mcp Server · $19
Ultra Prompt · $5
promptarch · $9
Context Repo Mcp · $20
Modelbound Mcp Server · $25
Gildara Io Mcp Server · $49
rtcf · $259
promptarch · $49
Gildara Io Mcp Server · $149
$5
$10
$25
$50
$100
$250
$500
AgentsMCP serversshaded = middle half · line = median
All plans
17 pricedProvidervs its cohort medianMonthly
Ultra Promptmcp
$5 below
genieaagent
$9 below
Modelbound Mcp Servermcp
$9 below
promptarchmcp
$9 below
Gildara Io Mcp Servermcp
$19 below
Context Repo Mcpmcp
$20 below
Modelbound Mcp Servermcp
$25 ~median
Prompt Central 2agent
$28 below
Prompt Centralagent
$48 ~median
promptlayeragent
$49 ~median
Gildara Io Mcp Servermcp
$49 above
promptarchmcp
$49 above
speclockagent
$99 above
Gildara Io Mcp Servermcp
$149 above
speclockagent
$249 above
rtcfmcp
$259 above
promptlayeragent
$500 above
Position is relative to the provider's own delivery-type median at this tier — never a blended one.
What the figures on this page are. This page is Agentery's fixed-niche view of Prompt Management Platform (latest observation 2026-10-15T03:43:03.005Z). The headline medians above are computed from that data per delivery type and buyer-tier tab: on a tier tab, the median of each provider's plan at that tier; on “All”, every priced plan point across tiers pooled. Small cohorts show as “too few” rather than a median. The embedded response below is the broader fixed-niche report: its
by_provider_type.*.median pools all tiers, pricing.byPersona.* is per buyer tier, and the unit cohorts (e.g. Pro flat) are per tier and billing unit — so those blocks legitimately differ from one headline figure. Over MCP today the advertised tools are market_report (a semantic neighbourhood for your query, not this fixed niche) and price_benchmark (query/task); niche_report stays callable as a legacy alias. Their cohorts are defined differently, so their numbers can differ from this page.market_reportprice_benchmark
See the MCP response behind this pagefixed-niche report (legacy niche_report alias, full mode) — broader than the headline figure
{
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{
"provider": "modelbound_mcp_server",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$0.50",
"monthly_usd": null
},
{
"provider": "modelbound_mcp_server",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$0.25",
"monthly_usd": null
},
{
"provider": "modelbound_mcp_server",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$0.05",
"monthly_usd": null
},
{
"provider": "modelbound_mcp_server",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$0.05",
"monthly_usd": null
},
{
"provider": "modelbound_mcp_server",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$0.10",
"monthly_usd": null
},
{
"provider": "modelbound_mcp_server",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$0.15",
"monthly_usd": null
},
{
"provider": "modelbound_mcp_server",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$0.05",
"monthly_usd": null
},
{
"provider": "modelbound_mcp_server",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$0.05",
"monthly_usd": null
},
{
"provider": "modelbound_mcp_server",
"tier": "individual",
"billing": "usage",
"unit": "flat",
"price": "$0.05",
"monthly_usd": null
}
]
},
{
"billing": "usage",
"unit": "other_usage",
"count": 3,
"offers": [
{
"provider": "promptarch",
"tier": "individual",
"billing": "usage",
"unit": "other_usage",
"price": "$0.09/credit",
"monthly_usd": null
},
{
"provider": "promptarch",
"tier": "pro",
"billing": "usage",
"unit": "other_usage",
"price": "$0.07/credit",
"monthly_usd": null
},
{
"provider": "promptarch",
"tier": "pro",
"billing": "usage",
"unit": "other_usage",
"price": "$0.06/credit",
"monthly_usd": null
}
]
},
{
"billing": "unspecified_period",
"unit": "flat",
"count": 3,
"offers": [
{
"provider": "compresr",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Custom",
"monthly_usd": null
},
{
"provider": "promptlayer",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Custom",
"monthly_usd": null
},
{
"provider": "rpcs1_agent_tuner",
"tier": "enterprise",
"billing": "unspecified_period",
"unit": "flat",
"price": "Let's talk",
"monthly_usd": null
}
]
}
],
"coverage": {
"priced_providers": 14,
"normalized_observations": 22,
"comparable_providers": 11,
"strict_cohorts": 3,
"exclusion_reasons": {
"one_time": 9,
"usage_not_monthly": 17,
"ambiguous_cadence": 3
}
}
}
},
"quoteOnlyProvidersByTier": {
"pro": 0,
"team_sme": 0,
"individual": 0,
"enterprise": 3
},
"billingMix": {
"freemium": 9,
"usage": 1,
"free": 5,
"subscription": 3,
"contact_sales": 2
},
"freeTierShare": 0.7,
"medianLowestUsd": 9.99
},
"movement": {
"niche": "prompt-management-platform",
"sector": "developer-tools-infra",
"pricedNow": 11,
"pairs": 11,
"repriced": [
{
"handle": "geniea",
"from": 4.99,
"to": 9,
"pct": 80.4
},
{
"handle": "modelbound_mcp_server",
"from": 5,
"to": 9,
"pct": 80
}
],
"newlyPriced": [],
"droppedFromPriced": [],
"likeForLikePct": 11.3,
"kind": "repricing",
"narrative": "Genuine repricing: 2 agents repriced — all up (avg +11.3%)."
},
"index_series": {
"series": [
{
"day": "2026-09-16",
"index": 100,
"pairs": 20,
"dayChangePct": 0
},
{
"day": "2026-09-17",
"index": 100,
"pairs": 20,
"dayChangePct": 0
},
{
"day": "2026-09-18",
"index": 100,
"pairs": 20,
"dayChangePct": 0
},
{
"day": "2026-09-19",
"index": 100,
"pairs": 20,
"dayChangePct": 0
},
{
"day": "2026-09-20",
"index": 100,
"pairs": 20,
"dayChangePct": 0
},
{
"day": "2026-09-21",
"index": 100,
"pairs": 18,
"dayChangePct": 0
},
{
"day": "2026-09-22",
"index": 100,
"pairs": 18,
"dayChangePct": 0
},
{
"day": "2026-09-23",
"index": 100,
"pairs": 18,
"dayChangePct": 0
},
{
"day": "2026-09-24",
"index": 100,
"pairs": 18,
"dayChangePct": 0
},
{
"day": "2026-09-25",
"index": 100,
"pairs": 21,
"dayChangePct": 0
},
{
"day": "2026-09-26",
"index": 100,
"pairs": 17,
"dayChangePct": 0
},
{
"day": "2026-09-27",
"index": 100,
"pairs": 17,
"dayChangePct": 0
},
{
"day": "2026-09-28",
"index": 100,
"pairs": 18,
"dayChangePct": 0
},
{
"day": "2026-09-29",
"index": 100,
"pairs": 18,
"dayChangePct": 0
},
{
"day": "2026-09-30",
"index": 100,
"pairs": 17,
"dayChangePct": 0
},
{
"day": "2026-10-01",
"index": 100,
"pairs": 17,
"dayChangePct": 0
},
{
"day": "2026-10-02",
"index": 100,
"pairs": 17,
"dayChangePct": 0
},
{
"day": "2026-10-03",
"index": 100,
"pairs": 18,
"dayChangePct": 0
},
{
"day": "2026-10-04",
"index": 100,
"pairs": 16,
"dayChangePct": 0
},
{
"day": "2026-10-05",
"index": 100,
"pairs": 16,
"dayChangePct": 0
},
{
"day": "2026-10-06",
"index": 100,
"pairs": 16,
"dayChangePct": 0
},
{
"day": "2026-10-07",
"index": 100,
"pairs": 15,
"dayChangePct": 0
},
{
"day": "2026-10-08",
"index": 100,
"pairs": 15,
"dayChangePct": 0
},
{
"day": "2026-10-09",
"index": 100,
"pairs": 15,
"dayChangePct": 0
},
{
"day": "2026-10-10",
"index": 100,
"pairs": 19,
"dayChangePct": 0
},
{
"day": "2026-10-11",
"index": 100,
"pairs": 19,
"dayChangePct": 0
},
{
"day": "2026-10-12",
"index": 100,
"pairs": 14,
"dayChangePct": 0
},
{
"day": "2026-10-13",
"index": 100,
"pairs": 14,
"dayChangePct": 0
},
{
"day": "2026-10-14",
"index": 100,
"pairs": 12,
"dayChangePct": 0
},
{
"day": "2026-10-15",
"index": 100,
"pairs": 14,
"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": "compresr",
"name": "Compresr",
"url": "https://compresr.ai/",
"short_summary": "compresses prompt/document context to remove tokens the model doesn't need, reducing cost and latency while preserving query-relevant information",
"price": {
"commercial": {
"currency": "USD",
"lines": [
{
"name": "Enterprise",
"price": "Custom",
"kind": "custom"
}
]
},
"observed": true,
"billing": "contact_sales",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Contact sales (no public price)",
"summary": "Contact sales (no public price). Compresr lists custom enterprise pricing sized to token spend and requires buyers to book a call."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "context_repo_mcp",
"name": "Context Repo MCP Server",
"url": "https://contextrepo.com/mcp-server",
"short_summary": "provides AI context management by exposing prompts, documents, and collections to AI clients through MCP protocol",
"price": {
"commercial": {
"entry_offer": {
"line": "Pro",
"monthly_native": 9.99,
"monthly_usd": 9.99,
"commitment": "monthly",
"basis": "$9.99/month",
"billing_verified": true
},
"currency": "USD",
"lines": [
{
"name": "Pro",
"price": "$9.99/month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Pro Max",
"price": "$19.99/month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Ultimate",
"price": "$99.99/month",
"kind": "base_subscription",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "subscription",
"lowest_monthly_usd": 9.99,
"monthly_usd": 9.99,
"headline": "From $9.99/mo",
"summary": "From $9.99/mo. Context Repo offers three monthly subscription plans priced from $9.99 to $99.99, with a 7-day free trial shown for Pro and Pro Max."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "modelbound_mcp_server",
"name": "Modelbound",
"url": "https://modelbound.co/",
"short_summary": "authors, tests, and governs AI context specs including system prompts, rules, skills, and MCP configurations across teams",
"price": {
"commercial": {
"entry_offer": {
"line": "Starter",
"monthly_native": 9,
"monthly_usd": 9,
"commitment": "monthly",
"basis": "$9/month",
"billing_verified": true
},
"rates": [
{
"line": "Credit",
"per": "per unit",
"text": "$0.01 per unit"
},
{
"line": "Eval run — Gemini Flash judge",
"per": "per unit",
"text": "$0.05 per unit"
},
{
"line": "Eval run — GPT-5 / Sonnet judge",
"per": "per unit",
"text": "$0.2 per unit"
},
{
"line": "Eval run — GPT-5 Pro / Opus judge",
"per": "per unit",
"text": "$0.8 per unit"
},
{
"line": "Multi-agent simulation — Flash",
"per": "per unit",
"text": "$0.1 per unit"
},
{
"line": "Multi-agent simulation — GPT-5",
"per": "per unit",
"text": "$0.5 per unit"
},
{
"line": "Codebase Analysis",
"per": "per unit",
"text": "$0.25 per unit"
},
{
"line": "RAG ingest",
"per": "per unit",
"text": "$0.05 per unit"
},
{
"line": "Auto-Memory synthesis",
"per": "per unit",
"text": "$0.05 per unit"
},
{
"line": "Autopilot cycle",
"per": "per unit",
"text": "$0.1 per unit"
},
{
"line": "Deploy to Bedrock / OpenAI / DO",
"per": "per unit",
"text": "$0.15 per unit"
},
{
"line": "MCP overage",
"per": "per unit",
"text": "$0.05 per unit"
},
{
"line": "Playground overage",
"per": "per unit",
"text": "$0.05 per unit"
},
{
"line": "Context API overage",
"per": "per unit",
"text": "$0.05 per unit"
}
],
"currency": "USD",
"notes": [
"prepaid credit: $10 (funding, not a subscription)",
"other prices: Top up $5 (one-time)"
],
"lines": [
{
"name": "Free",
"price": "$0 / forever",
"kind": "free",
"billed": "monthly"
},
{
"name": "Starter",
"price": "$9 / month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Pro",
"price": "$25 / month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Team",
"price": "$39 / seat / month",
"kind": "base_subscription",
"unit": "seat",
"billed": "monthly",
"min_seats": 2
},
{
"name": "Credit",
"price": "$0.01",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Eval run — Gemini Flash judge",
"price": "$0.05",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Eval run — GPT-5 / Sonnet judge",
"price": "$0.20",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Eval run — GPT-5 Pro / Opus judge",
"price": "$0.80",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Multi-agent simulation — Flash",
"price": "$0.10",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Multi-agent simulation — GPT-5",
"price": "$0.50",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Codebase Analysis",
"price": "$0.25",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "RAG ingest",
"price": "$0.05",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Auto-Memory synthesis",
"price": "$0.05",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Autopilot cycle",
"price": "$0.10",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Deploy to Bedrock / OpenAI / DO",
"price": "$0.15",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "MCP overage",
"price": "$0.05",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Playground overage",
"price": "$0.05",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Context API overage",
"price": "$0.05",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Top up",
"price": "$5",
"kind": "one_off",
"billed": "one_off"
},
{
"name": "Starter credit pack",
"price": "$10",
"kind": "credit_purchase",
"billed": "one_off"
},
{
"name": "Builder credit pack",
"price": "$25",
"kind": "credit_purchase",
"billed": "one_off"
},
{
"name": "Power credit pack",
"price": "$50",
"kind": "credit_purchase",
"billed": "one_off"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 9,
"monthly_usd": 9,
"headline": "Free plan; paid from $9/mo",
"summary": "Free plan; paid from $9/mo. ModelBound offers a permanent free plan, paid monthly plans from $9, a $39-per-seat Team plan, and additional usage-based credits and one-time top-up packs."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "ultra_prompt",
"name": "ultra-prompt",
"url": "https://ultraprompt.co/mcp",
"short_summary": "provides AI assistants access to a library of 1,000+ professionally written prompt templates through MCP integration",
"price": {
"commercial": {
"entry_offer": {
"line": "Pro",
"monthly_native": 5,
"monthly_usd": 5,
"commitment": "monthly",
"basis": "$5/month",
"billing_verified": true
},
"currency": "USD",
"lines": [
{
"name": "Free",
"price": "$0 / with any account",
"kind": "free",
"billed": "monthly"
},
{
"name": "Pro",
"price": "$5/mo",
"kind": "base_subscription",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 5,
"monthly_usd": 5,
"headline": "Free plan; paid from $5/mo",
"summary": "Free plan; paid from $5/mo. UltraPrompt offers a free plan with five tool calls per month and a Pro plan at $5 per month with unlimited MCP calls."
},
"evidence_quality": "high",
"upvotes": 0
},
{
"agent_id": "coldhat",
"name": "Coldhat",
"url": "https://coldhat.f-keys.com",
"short_summary": "coldHat puts your AI working rules on any chat. Call wear_hat with a GitHub username (and optionally a hat name) to fetch that person's hat.md: their rules, vo…",
"price": {
"commercial": {
"currency": "USD",
"lines": [
{
"name": "coldHat",
"price": "0USD",
"kind": "free",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "free",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Free",
"summary": "Free. coldHat is presented with a $0 offer and no paid plans are publicly shown."
},
"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "gildara_io_mcp_server",
"name": "Gildara Io",
"url": "https://gildara.io",
"short_summary": "Prompt infrastructure for AI agents—resolve, compose, and manage reusable prompts and briefs through OAuth-secured MCP tools.",
"price": {
"commercial": {
"entry_offer": {
"line": "Builder",
"monthly_native": 19,
"monthly_usd": 19,
"commitment": "annual",
"basis": "$19/month, billed annually (annual commitment)"
},
"currency": "USD",
"lines": [
{
"name": "Free",
"price": "$0/mo",
"kind": "free",
"billed": "monthly"
},
{
"name": "Builder",
"price": "$19/mo",
"kind": "base_subscription",
"billed": "annually"
},
{
"name": "Pro",
"price": "$49/mo",
"kind": "base_subscription",
"billed": "annually"
},
{
"name": "Scale",
"price": "$149/mo",
"kind": "base_subscription",
"billed": "annually"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 19,
"monthly_usd": 19,
"headline": "Free plan; paid from $19/mo (annual commitment)",
"summary": "Free plan; paid from $19/mo (annual commitment). Gildara offers a permanent free tier, with paid Builder, Pro, and Scale subscriptions priced at $19, $49, and $149 per month, respectively."
},
"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "godle_prompt_api",
"name": "Godle Prompt API",
"url": "https://godle.app",
"short_summary": "transforms vague questions into expert-level prompts for AI models",
"price": {
"commercial": {
"currency": "USD",
"lines": [
{
"name": "Free",
"price": "0USD",
"kind": "free",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "free",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Free",
"summary": "Free. GODLE offers its AI prompt tool free forever with no signup required."
},
"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "promptarch",
"name": "Promptarch",
"url": "https://promptarch.ai/blog/promptarch-cli-and-mcp-server-guide",
"short_summary": "Lint and generate AI agent context files (CLAUDE.md, AGENTS.md, Cursor rules, Copilot instructions) from any MCP client. The linter is free, needs no account,…",
"price": {
"commercial": {
"entry_offer": {
"line": "Pro",
"monthly_native": 9,
"monthly_usd": 9,
"commitment": "monthly",
"basis": "$9/month",
"billing_verified": true
},
"rates": [
{
"line": "Starter credit rate",
"per": "per credit",
"text": "$0.09 per credit"
},
{
"line": "Standard credit rate",
"per": "per credit",
"text": "$0.07 per credit"
},
{
"line": "Pro pack credit rate",
"per": "per credit",
"text": "$0.06 per credit"
}
],
"currency": "USD",
"notes": [
"prepaid credit: $9 (funding, not a subscription)",
"other prices: Pro pack $49 (one-time)"
],
"lines": [
{
"name": "Free",
"price": "$0",
"kind": "free",
"billed": "monthly"
},
{
"name": "Pro",
"price": "$9 /mo",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Team",
"price": "$49 /mo",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Starter credit pack",
"price": "$9",
"kind": "credit_purchase",
"billed": "one_off"
},
{
"name": "Standard credit pack",
"price": "$21",
"kind": "credit_purchase",
"billed": "one_off"
},
{
"name": "Pro pack",
"price": "$49",
"kind": "one_off",
"billed": "one_off"
},
{
"name": "Starter credit rate",
"price": "$0.09/credit",
"kind": "usage_rate",
"unit": "credit",
"billed": "usage"
},
{
"name": "Standard credit rate",
"price": "$0.07/credit",
"kind": "usage_rate",
"unit": "credit",
"billed": "usage"
},
{
"name": "Pro pack credit rate",
"price": "$0.06/credit",
"kind": "usage_rate",
"unit": "credit",
"billed": "usage"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 9,
"monthly_usd": 9,
"headline": "Free plan; paid from $9/mo",
"summary": "Free plan; paid from $9/mo. PromptArch offers a free tier, $9/month Pro and $49/month Team subscriptions, plus one-time credit packs from $9 to $49."
},
"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "promptdna_org",
"name": "Promptdna Org",
"url": "https://promptdna.org",
"short_summary": "# PromptDNA\n\n**A community marketplace for composable AI prompt blocks — think npm for prompt engineering.**\n\nPromptDNA lets developers and AI agents discover,…",
"price": {
"commercial": {
"rates": [
{
"line": "Pay-as-you-go credits",
"per": "per credit",
"text": "$0 per credit"
}
],
"currency": "USD",
"lines": [
{
"name": "Free tier",
"price": "Free",
"kind": "free",
"billed": "monthly"
},
{
"name": "Pay-as-you-go credits",
"price": "$0.001 USDC per credit",
"kind": "usage_rate",
"unit": "credit",
"billed": "usage"
},
{
"name": "Credit bundles",
"price": "$0.50 USDC",
"kind": "one_off",
"billed": "one_off"
}
]
},
"observed": true,
"billing": "usage",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "One-time packages from $0.5; $0 per credit (usage-based)",
"summary": "One-time packages from $0.5; $0 per credit (usage-based). PromptDNA offers signup credits and pay-as-you-go usage priced at 1 credit per $0.001 USDC, with optional one-time credit bundles and no subscription."
},
"evidence_quality": "medium",
"upvotes": 0
},
{
"agent_id": "promptscan",
"name": "promptscan",
"url": "https://promptscan.dev",
"short_summary": "Production-ready prompt injection detection for AI agents. Scan user input, retrieved docs, and tool outputs before passing them to an LLM. Returns injection_d…",
"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
}
],
"platforms_also_here": [
{
"agent_id": "agenta",
"name": "Agenta",
"url": "https://agenta.ai/",
"short_summary": "Open-source LLMOps platform for managing prompts, evaluating and debugging LLM applications, monitoring production systems, and collaborating across product, e…",
"price": {
"commercial": {
"entry_offer": {
"line": "Starter",
"monthly_native": 29,
"monthly_usd": 29,
"commitment": "monthly",
"basis": "$29/month",
"billing_verified": true
},
"currency": "USD",
"notes": [
"prepaid credit: $10 (funding, not a subscription)"
],
"lines": [
{
"name": "Hobby",
"price": "$0",
"kind": "free",
"billed": "monthly"
},
{
"name": "Starter",
"price": "$29 /month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Business",
"price": "$299 /month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Enterprise",
"price": "Custom",
"kind": "custom"
},
{
"name": "Credit top-up",
"price": "$10",
"kind": "credit_purchase",
"billed": "one_off"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 29,
"monthly_usd": 29,
"headline": "Free plan; paid from $29/mo",
"summary": "Free plan; paid from $29/mo. Agenta offers a permanent free Hobby plan, $29/month Starter and $299/month Business subscriptions, custom Enterprise pricing, and $10 credit top-ups for 1,000 credits."
},
"home_niche": "agent-observability-eval",
"also_covers": true,
"upvotes": 0
},
{
"agent_id": "agentops",
"name": "AgentOps",
"url": "https://agentops.ai",
"short_summary": "monitors, traces, debugs, and tracks costs of AI agents and LLM apps in production (observability)",
"price": {
"commercial": {
"entry_offer": {
"line": "Pro",
"monthly_native": 40,
"monthly_usd": 40,
"commitment": "monthly",
"basis": "$40/month",
"billing_verified": true
},
"currency": "USD",
"lines": [
{
"name": "Basic",
"price": "$0 per month",
"kind": "free",
"billed": "monthly"
},
{
"name": "Pro",
"price": "$40 per month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Enterprise",
"price": "Custom",
"kind": "custom"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 40,
"monthly_usd": 40,
"headline": "Free plan; paid from $40/mo",
"summary": "Free plan; paid from $40/mo. AgentOps offers a free tier up to 5,000 events, Pro starting at $40/month with unlimited events, and custom Enterprise pricing."
},
"home_niche": "agent-observability-eval",
"also_covers": true,
"upvotes": 0
},
{
"agent_id": "auto_skill_finder",
"name": "Auto Skill Finder",
"url": "https://prantikmedhi.github.io/auto-skill-finder",
"short_summary": "Universal AI skill router that automatically detects prompt intent and routes to the best installed skill without manual slash commands. Reduces token usage by…",
"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 homepage."
},
"home_niche": "agent-orchestration-platform",
"also_covers": true,
"upvotes": 0
},
{
"agent_id": "guardrails_ai",
"name": "Guardrails AI",
"url": "https://guardrailsai.com",
"short_summary": "detects policy violations, hallucinations, and data leakage in LLM outputs; generates synthetic datasets and eval datasets for testing AI applications",
"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 are shown on the supplied homepage or Guardrails Hub page."
},
"home_niche": "agent-observability-eval",
"also_covers": true,
"upvotes": 0
},
{
"agent_id": "kiln_ai",
"name": "Kiln Ai",
"url": "https://kiln.tech",
"short_summary": "AI workbench for building, evaluating, and optimizing AI systems. Includes evals, RAG, agents, synthetic data, fine-tuning, and prompt optimization. Free app +…",
"price": {
"observed": false,
"billing": "not_found",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing is shown on the supplied homepage, and no pricing page was available."
},
"home_niche": "agent-framework-open-source",
"also_covers": true,
"upvotes": 0
},
{
"agent_id": "langsmith",
"name": "Langsmith",
"url": "https://www.langchain.com/langsmith/observability",
"short_summary": "provides observability for AI agents and LLM applications via tracing, monitoring, and automated insights to debug failures and track cost/latency",
"price": {
"commercial": {
"entry_offer": {
"line": "Plus",
"monthly_native": 39,
"monthly_usd": 39,
"commitment": "monthly",
"basis": "$39 per seat/month × 1",
"billing_verified": true
},
"rates": [
{
"line": "LangChain Standard Units",
"per": "per lsu",
"text": "$1 per lsu"
}
],
"currency": "USD",
"lines": [
{
"name": "Developer",
"price": "$0 / seat per month",
"kind": "free",
"billed": "monthly"
},
{
"name": "Plus",
"price": "$39 / seat per month",
"kind": "base_subscription",
"unit": "seat",
"billed": "monthly"
},
{
"name": "Enterprise",
"price": "Custom pricing",
"kind": "custom"
},
{
"name": "LangChain Standard Units",
"price": "$1.00 / LSU",
"kind": "usage_rate",
"unit": "lsu",
"billed": "usage"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 39,
"monthly_usd": 39,
"headline": "Free plan; paid from $39/mo ($39 per seat/month × 1)",
"summary": "Free plan; paid from $39/mo ($39 per seat/month × 1). LangSmith offers a free Developer tier, a Plus tier at $39 per seat per month, custom-priced Enterprise access, and usage charges for additional consumption."
},
"home_niche": "agent-observability-eval",
"also_covers": true,
"upvotes": 0
},
{
"agent_id": "nautex_ai",
"name": "Nautex Ai",
"url": "https://nautex.ai",
"short_summary": "Specifications management platform for coding agents. Helps product teams and AI agents capture requirements, review specs, design systems, and execute with tr…",
"price": {
"commercial": {
"entry_offer": {
"line": "Pro",
"monthly_native": 20,
"monthly_usd": 20,
"commitment": "monthly",
"basis": "$20/month",
"billing_verified": true
},
"currency": "USD",
"lines": [
{
"name": "Free",
"price": "$0forever",
"kind": "free",
"billed": "monthly"
},
{
"name": "Pro",
"price": "$20/month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Pro+",
"price": "$100/month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Enterprise",
"price": "Custom",
"kind": "custom"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 20,
"monthly_usd": 20,
"headline": "Free plan; paid from $20/mo",
"summary": "Free plan; paid from $20/mo. Nautex offers a permanent free plan, paid Pro and Pro+ plans at $20 and $100 per month, and custom-priced Enterprise plans."
},
"home_niche": "agent-orchestration-platform",
"also_covers": true,
"upvotes": 0
},
{
"agent_id": "openai_agents",
"name": "Openai Agents",
"url": "https://docs.langwatch.ai/integration/python/integrations/open-ai-agents",
"short_summary": "Instruments OpenAI Agents to capture traces, monitor agent execution, LLM calls, and tool usage for observability and evaluations",
"price": {
"observed": false,
"billing": "freemium",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "LangWatch offers a free plan with core features, while usage-based pricing applies to ingested events."
},
"home_niche": "agent-observability-eval",
"also_covers": true,
"upvotes": 0
}
],
"page_url": "https://agentery.com/market/prompt-management-platform",
"summary": {
"niche": "prompt-management-platform",
"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 · Pro median $22/mo (6 providers). See benchmarks_by_provider_type_and_tier for the full matrix.",
"benchmarks": [
{
"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": 6,
"reliability": "medium",
"median": 22.49,
"p25": 11.75,
"p75": 43,
"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": 5,
"reliability": "medium",
"median": 47.5,
"p25": 27.88,
"p75": 49,
"status": "ok"
},
{
"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": 2,
"reliability": "low",
"median": null,
"p25": null,
"p75": null,
"status": "observed_offers_only",
"observed_offers": [
249,
500
]
},
{
"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": 2,
"reliability": "low",
"median": null,
"p25": null,
"p75": null,
"status": "observed_offers_only",
"observed_offers": [
9,
19
]
},
{
"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": 2,
"reliability": "low",
"median": null,
"p25": null,
"p75": null,
"status": "observed_offers_only",
"observed_offers": [
49,
149
]
}
],
"warnings": [],
"full_pricing_via": {
"tool": "price_benchmark",
"arguments": {
"niche": "prompt-management-platform"
},
"note": "add provider_type + buyer_tier for a specific cohort"
}
},
"page_url": "https://agentery.com/market/prompt-management-platform",
"counts": {
"listings_with_price_capture": 45,
"listings_with_observed_public_price": 20,
"providers_with_numeric_monthly_price_latest_scan": 11,
"like_for_like_comparable_pairs": 11
},
"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": 19,
"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": "modelbound_mcp_server",
"usd": 9
},
{
"provider": "speclock",
"usd": 19
},
{
"provider": "gildara_io_mcp_server",
"usd": 19
}
]
},
{
"tier": "pro",
"currency": "USD",
"period": "month",
"unit": "flat",
"median": 27.88,
"provider_count": 11,
"plan_observation_count": 14,
"data_confidence": 0.87,
"data_confidence_basis": {
"provider_component": 0.92,
"observation_component": 0.7,
"provider_count": 11,
"plan_observation_count": 14
},
"reliability": "medium",
"members": [
{
"provider": "ultra_prompt",
"usd": 5
},
{
"provider": "promptarch",
"usd": 9
},
{
"provider": "geniea",
"usd": 9
},
{
"provider": "context_repo_mcp",
"usd": 19.99
},
{
"provider": "modelbound_mcp_server",
"usd": 25
},
{
"provider": "prompt_central_2",
"usd": 27.88
},
{
"provider": "prompt_central",
"usd": 47.5
},
{
"provider": "promptlayer",
"usd": 49
},
{
"provider": "gildara_io_mcp_server",
"usd": 49
},
{
"provider": "speclock",
"usd": 99
},
{
"provider": "rtcf",
"usd": 259
}
],
"p25": 14.5,
"p75": 49
},
{
"tier": "team_sme",
"currency": "USD",
"period": "month",
"unit": "flat",
"median": 199,
"provider_count": 4,
"plan_observation_count": 4,
"data_confidence": 0.31,
"data_confidence_basis": {
"provider_component": 0.33,
"observation_component": 0.2,
"provider_count": 4,
"plan_observation_count": 4
},
"reliability": "low",
"members": [
{
"provider": "promptarch",
"usd": 49
},
{
"provider": "gildara_io_mcp_server",
"usd": 149
},
{
"provider": "speclock",
"usd": 249
},
{
"provider": "promptlayer",
"usd": 500
}
]
}
],
"pricing_coverage": {
"listings_with_price_capture": 45,
"listings_with_observed_public_price": 20,
"normalized_observations": 22,
"comparable_providers": 11,
"strict_cohorts": 3,
"exclusion_reasons": {
"one_time": 9,
"usage_not_monthly": 17,
"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": {
"one_time": 9,
"usage_not_monthly": 17,
"ambiguous_cadence": 3
},
"billing_mix": {
"freemium": 9,
"usage": 1,
"free": 5,
"subscription": 3,
"contact_sales": 2
},
"free_tier_share": 0.7,
"top_providers": [
{
"agent_id": "compresr",
"name": "Compresr",
"price": {
"commercial": {
"currency": "USD",
"lines": [
{
"name": "Enterprise",
"price": "Custom",
"kind": "custom"
}
]
},
"observed": true,
"billing": "contact_sales",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Contact sales (no public price)",
"summary": "Contact sales (no public price). Compresr lists custom enterprise pricing sized to token spend and requires buyers to book a call."
},
"observed": true
},
{
"agent_id": "context_repo_mcp",
"name": "Context Repo MCP Server",
"price": {
"commercial": {
"entry_offer": {
"line": "Pro",
"monthly_native": 9.99,
"monthly_usd": 9.99,
"commitment": "monthly",
"basis": "$9.99/month",
"billing_verified": true
},
"currency": "USD",
"lines": [
{
"name": "Pro",
"price": "$9.99/month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Pro Max",
"price": "$19.99/month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Ultimate",
"price": "$99.99/month",
"kind": "base_subscription",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "subscription",
"lowest_monthly_usd": 9.99,
"monthly_usd": 9.99,
"headline": "From $9.99/mo",
"summary": "From $9.99/mo. Context Repo offers three monthly subscription plans priced from $9.99 to $99.99, with a 7-day free trial shown for Pro and Pro Max."
},
"observed": true
},
{
"agent_id": "modelbound_mcp_server",
"name": "Modelbound",
"price": {
"commercial": {
"entry_offer": {
"line": "Starter",
"monthly_native": 9,
"monthly_usd": 9,
"commitment": "monthly",
"basis": "$9/month",
"billing_verified": true
},
"rates": [
{
"line": "Credit",
"per": "per unit",
"text": "$0.01 per unit"
},
{
"line": "Eval run — Gemini Flash judge",
"per": "per unit",
"text": "$0.05 per unit"
},
{
"line": "Eval run — GPT-5 / Sonnet judge",
"per": "per unit",
"text": "$0.2 per unit"
},
{
"line": "Eval run — GPT-5 Pro / Opus judge",
"per": "per unit",
"text": "$0.8 per unit"
},
{
"line": "Multi-agent simulation — Flash",
"per": "per unit",
"text": "$0.1 per unit"
},
{
"line": "Multi-agent simulation — GPT-5",
"per": "per unit",
"text": "$0.5 per unit"
},
{
"line": "Codebase Analysis",
"per": "per unit",
"text": "$0.25 per unit"
},
{
"line": "RAG ingest",
"per": "per unit",
"text": "$0.05 per unit"
},
{
"line": "Auto-Memory synthesis",
"per": "per unit",
"text": "$0.05 per unit"
},
{
"line": "Autopilot cycle",
"per": "per unit",
"text": "$0.1 per unit"
},
{
"line": "Deploy to Bedrock / OpenAI / DO",
"per": "per unit",
"text": "$0.15 per unit"
},
{
"line": "MCP overage",
"per": "per unit",
"text": "$0.05 per unit"
},
{
"line": "Playground overage",
"per": "per unit",
"text": "$0.05 per unit"
},
{
"line": "Context API overage",
"per": "per unit",
"text": "$0.05 per unit"
}
],
"currency": "USD",
"notes": [
"prepaid credit: $10 (funding, not a subscription)",
"other prices: Top up $5 (one-time)"
],
"lines": [
{
"name": "Free",
"price": "$0 / forever",
"kind": "free",
"billed": "monthly"
},
{
"name": "Starter",
"price": "$9 / month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Pro",
"price": "$25 / month",
"kind": "base_subscription",
"billed": "monthly"
},
{
"name": "Team",
"price": "$39 / seat / month",
"kind": "base_subscription",
"unit": "seat",
"billed": "monthly",
"min_seats": 2
},
{
"name": "Credit",
"price": "$0.01",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Eval run — Gemini Flash judge",
"price": "$0.05",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Eval run — GPT-5 / Sonnet judge",
"price": "$0.20",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Eval run — GPT-5 Pro / Opus judge",
"price": "$0.80",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Multi-agent simulation — Flash",
"price": "$0.10",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Multi-agent simulation — GPT-5",
"price": "$0.50",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Codebase Analysis",
"price": "$0.25",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "RAG ingest",
"price": "$0.05",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Auto-Memory synthesis",
"price": "$0.05",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Autopilot cycle",
"price": "$0.10",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Deploy to Bedrock / OpenAI / DO",
"price": "$0.15",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "MCP overage",
"price": "$0.05",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Playground overage",
"price": "$0.05",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Context API overage",
"price": "$0.05",
"kind": "usage_rate",
"unit": "unit",
"billed": "usage"
},
{
"name": "Top up",
"price": "$5",
"kind": "one_off",
"billed": "one_off"
},
{
"name": "Starter credit pack",
"price": "$10",
"kind": "credit_purchase",
"billed": "one_off"
},
{
"name": "Builder credit pack",
"price": "$25",
"kind": "credit_purchase",
"billed": "one_off"
},
{
"name": "Power credit pack",
"price": "$50",
"kind": "credit_purchase",
"billed": "one_off"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 9,
"monthly_usd": 9,
"headline": "Free plan; paid from $9/mo",
"summary": "Free plan; paid from $9/mo. ModelBound offers a permanent free plan, paid monthly plans from $9, a $39-per-seat Team plan, and additional usage-based credits and one-time top-up packs."
},
"observed": true
},
{
"agent_id": "ultra_prompt",
"name": "ultra-prompt",
"price": {
"commercial": {
"entry_offer": {
"line": "Pro",
"monthly_native": 5,
"monthly_usd": 5,
"commitment": "monthly",
"basis": "$5/month",
"billing_verified": true
},
"currency": "USD",
"lines": [
{
"name": "Free",
"price": "$0 / with any account",
"kind": "free",
"billed": "monthly"
},
{
"name": "Pro",
"price": "$5/mo",
"kind": "base_subscription",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "freemium",
"lowest_monthly_usd": 5,
"monthly_usd": 5,
"headline": "Free plan; paid from $5/mo",
"summary": "Free plan; paid from $5/mo. UltraPrompt offers a free plan with five tool calls per month and a Pro plan at $5 per month with unlimited MCP calls."
},
"observed": true
},
{
"agent_id": "coldhat",
"name": "Coldhat",
"price": {
"commercial": {
"currency": "USD",
"lines": [
{
"name": "coldHat",
"price": "0USD",
"kind": "free",
"billed": "monthly"
}
]
},
"observed": true,
"billing": "free",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Free",
"summary": "Free. coldHat is presented with a $0 offer and no paid plans are publicly shown."
},
"observed": true
}
],
"suggested_next_calls": [
{
"tool": "price_benchmark",
"arguments": {
"niche": "prompt-management-platform"
},
"purpose": "full observed price distribution + per-tier medians for this niche"
},
{
"tool": "niche_report",
"arguments": {
"niche": "prompt-management-platform",
"response_mode": "full"
},
"purpose": "the complete report incl. index series and tier decomposition"
},
{
"tool": "suggest_alternatives",
"arguments": {
"agent_id": "compresr"
},
"purpose": "comparable (optionally cheaper) providers to a named agent"
},
{
"tool": "get_agent_profile",
"arguments": {
"agent_id": "compresr"
},
"purpose": "full profile, integrations and pricing for one provider"
}
]
}
}Full market
17 providers, one sortable view
Dense enough for many listings; progressive disclosure keeps mobile usable.
ProviderTypeFromVs niche medianLiveness
Context Repo MCP Serverprovides AI context management by exposing prompts, documents, and collections to AI clients through MCP protocol
Modelboundauthors, tests, and governs AI context specs including system prompts, rules, skills, and MCP configurations across teams
ultra-promptprovides AI assistants access to a library of 1,000+ professionally written prompt templates through MCP integration
Gildara IoPrompt infrastructure for AI agents—resolve, compose, and manage reusable prompts and briefs through OAuth-secured MCP tools.
Godle Prompt APItransforms vague questions into expert-level prompts for AI models
PromptarchLint and generate AI agent context files (CLAUDE.md, AGENTS.md, Cursor rules, Copilot instructions) from any MCP client. The linter is free, needs no account,…RARpcs1 Agent TunerRPCS-1 turns an agent's operating conditions into derived runtime settings (temperature, context strategy, failure-mode read), and its Translation Bridge calib…
mcpFree tierpaid plans vary—88% live
RtcfPrompt improver for people who never know what to type into AI. Rewrites a rough request (Thai or English) into a sharp prompt structured as Role, Task, Contex…
Struqprovides secure access to vault of reusable prompts, skills, rules, kits, and project context for coding agents
Dali Prompt ScorerMCP server that scores AI generation prompts 0-100 before you spend credits, automatically rewrites weak prompts, and supports major video/image generators lik…
Prompt CentralAI prompt management platform for professionals and teams. Create, organize, version control, and share AI prompts across multiple AI models including ChatGPT…
Prompt Central 2AI prompt management platform for creating, organizing, and sharing prompts. Features professional templates, prompt chains for complex workflows, and communit…
PromptlayerPrompt management and testing platform for AI agents. Provides version control, evaluation harness, observability, and visual editor for domain expert collabor…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.