Bixel

TopK

Topk.io
Pricing Strategy

Usage-based

As of September 3, 2026, TopK's pricing: Nine metered dimensions with no flat tiers means there is no monthly ceiling: a memory-heavy query workload hits $20 per GiB, while storage runs $0.10 per GiB, so buyers should model their exact access patterns before committing.

Backed by 10 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.
Details
Modelusage_based
Usage data Egress per_unit0.2 usd per gib returned
Usage get Operations per_unit0.01 usd per 1k gets
Usage query Compute per_unit0.005 usd per tib scanned
Usage query Memory per_unit20 usd per gib
Usage query Requests per_unit0.5 usd per 1m queries
Usage storage per_unit0.1 usd per gib
Usage text Embedding per_unit0.05 usd per 1m tokens
Usage write Data per_unit0.5 usd per gib written
Usage write Requests per_unit0.01 usd per 1k writes
Pricing Change Historydated events · values unlock with a key
Pricing changed: Document Processing Pdfs usage rate · high significance
Pricing changed: Storage usage rate · high significance
Pricing changed: Free Credits tier free flag · high significance
Pricing tier removed: Free Credits tier name · high significance
Pricing changed: Database Storage usage rate · high significance
Pricing changed: Document Processing Images usage rate · high significance
Pricing changed: Document Processing Text usage rate · high significance
Pricing changed: File Search Agentic Queries usage rate · high significance
Every pricing fact on this pagekey · value · provenance · dated · sourced
FactValueProvenanceAs ofSource
pricing.modelusage_basedcompany stated2026-09-03www.topk.io/pricing
pricing.usage.data-egress.per_unit0.2 usd per gib returnedcompany stated2026-09-03www.topk.io/pricing
pricing.usage.get-operations.per_unit0.01 usd per 1k getscompany stated2026-09-03www.topk.io/pricing
pricing.usage.query-compute.per_unit0.005 usd per tib scannedcompany stated2026-09-03www.topk.io/pricing
pricing.usage.query-memory.per_unit20 usd per gibcompany stated2026-09-03www.topk.io/pricing
pricing.usage.query-requests.per_unit0.5 usd per 1m queriescompany stated2026-09-03www.topk.io/pricing
pricing.usage.storage.per_unit0.1 usd per gibcompany stated2026-09-03www.topk.io/pricing
pricing.usage.text-embedding.per_unit0.05 usd per 1m tokenscompany stated2026-09-03www.topk.io/pricing
pricing.usage.write-data.per_unit0.5 usd per gib writtencompany stated2026-09-03www.topk.io/pricing
pricing.usage.write-requests.per_unit0.01 usd per 1k writescompany stated2026-09-03www.topk.io/pricing
Pricing across Vector DatabasesTopK ranked in place · tap through for each read
CompanyPricing readFacts
PineconeSelf-serve, free tier31
WeaviateSelf-serve, free tier22
EpsillaEnterprise, sales-led19
ZillizSelf-serve, free tier18
ChromaSelf-serve, free tier14
TopK this recordUsage-based10
QdrantHybrid9
VectaraEnterprise, sales-led8
TurbopufferHybrid7
LanceDBFree1

No observed pricing facts yet for Activeloop, KDB.AI, Marqo, Milvus, MyScale and Vespa.

Get pricing for topk.io via API / MCPevery field dated and sourced
RESTopen tier
GET https://api.bixel.com/v1/companies/topk.io/facts?dimension=pricing

{
  "data": {
    "facts": [
      {
        "key": "pricing.model",
        "value": "usage_based",
        "provenance": "company_stated",
        "as_of": "2026-09-03",
        "source_url": "www.topk.io/pricing"
      },
      {
        "key": "pricing.usage.data-egress.per_unit",
        "value": 0.2,
        "provenance": "company_stated",
        "as_of": "2026-09-03",
        "source_url": "www.topk.io/pricing"
      },
      {
        "key": "pricing.usage.get-operations.per_unit",
        "value": 0.01,
        "provenance": "company_stated",
        "as_of": "2026-09-03",
        "source_url": "www.topk.io/pricing"
      },
      {
        "key": "pricing.usage.query-compute.per_unit",
        "value": 0.005,
        "provenance": "company_stated",
        "as_of": "2026-09-03",
        "source_url": "www.topk.io/pricing"
      },
      "…"
    ]
  }
}
MCPfor agents
# any MCP client (Claude, agents)
const record = await bixel.get_company_facts({ domain: "topk.io", dimension: "pricing" })

# returns the pricing record above,
# each value with its source_url + as_of,
# ready to reason over
Build on the company record. One key, REST + MCP, every signal dated and sourced back to the page it came from.

Public record, read from companies' own pages and boards. Every fact dated and sourced; provenance (observed vs company stated) shown inline.