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unlob

unlob vs Parallel Search

Two own-index, agent-first search APIs with the same founding thesis. Parallel has $230M and 100,000 developers; unlob is a quarter of the price and traverses a coverage graph.

Verified 5 August 2026·Figures from vendors' own pages

On the headline rate that is 2.5× — $1 per 1,000 against $0.40. Both figures are computed from the published plan tables rather than typed into this page, so they follow the vendors rather than drifting from them.

Price

  • unlob$0.40
  • Parallel Search$1
Per 1,000 comparable web searches — about ten results, no extraction, no summarisation.
ProviderOwn index?$ / 1,000 queriesSource

The Turbo search processor is $1 per 1,000; Basic and Advanced are both $5 per 1,000. The Task API, which is what most agent workloads actually use, runs $5 to $2,400 per 1,000 depending on processor.

Yes

Proprietary web index and retrieval infrastructure

$1Parallel pricing

$29 per month for 50,000 requests.

Yes

Our own crawl and index

$0.58This page

$199 per month for 500,000 requests.

Yes

Our own crawl and index

$0.40This page
Rates are the cheapest directly comparable web search call — roughly ten results, no extraction and no summarisation — because that is the only way a table across credit systems, token pricing and per-request pricing means anything. Where a vendor does not publish a flat per-1,000 rate they are omitted from this table and covered in full on the landscape page. Figures read from each vendor’s own pricing page on 5 August 2026.

When Parallel Search is the better choice

A comparison page that cannot name a scenario where the competitor wins is an advertisement. Here are the real ones.

Choose Parallel Search

  • You want a vendor with Sequoia and Kleiner Perkins behind it and enterprise references including Clay, Harvey, Notion and Opendoor.
  • You need the Task API — Parallel’s deep-research processors run from $5 to $2,400 per 1,000 and have no equivalent here.
  • Your procurement process requires a supplier of a certain size. We are self-funded and small; that is a real difference and not one we can argue away.
  • You want Find All, Monitor or the Responses API as managed products rather than something you compose.

Choose unlob

  • Cost at volume — $0.40 against $1.00 per 1,000 on the cheapest comparable search tier.
  • Graph traversal: related, corroborate, authorities, dossier, path and assemble_context have no Parallel equivalent.
  • Coverage transparency: why_not answers whether a URL is present, was removed and why, or was never admitted.
  • Corroboration counts on every hit, so an agent can filter for independently reported claims in one parameter.

The substantive differences

Parallel Searchunlob
Product surfaceSix APIs — Search, Task, Extract, Responses, Monitor, Find All — with processor tiers on each.One API with 16 endpoints. Depth comes from the graph tools rather than from separate products.
Graph traversalNone. Task and Find All perform research, but do not expose relationships between documents.Six traversal endpoints over a typed graph of passages, hosts, stories, topics and entities.
Free tier5,000 requests a month, at the paid rate limit.10,000 requests a month, but at 60 requests/minute. Twice the volume for evaluating; a tenth of the rate, so it will not carry a production workload.
Company$230M raised, $2.0B valuation, 100,000+ developers.Self-funded, not raising, considerably smaller.

Sources

Every figure on this page was read from the vendor's own pricing page or funding announcement on the date shown.

Frequently asked questions

Is Parallel Search better than unlob?

For deep research tasks and for buyers who need a large, well-capitalised vendor, Parallel is the stronger choice — its Task API has no equivalent here and it has substantially more index. For high-volume retrieval where cost per query matters, or where an agent needs to traverse relationships and audit coverage, unlob does things Parallel does not at a quarter of the price, and its free tier is twice the size for evaluation.

Who is behind Parallel Web Systems?

Parag Agrawal, the former Twitter CEO. The company raised $100M in a Series A led by Kleiner Perkins and Index Ventures in January 2026 and a further $100M Series B led by Sequoia in April 2026, reaching a $2.0 billion valuation on $230M total raised.

Do both really own their index?

Yes. Parallel describes its Search API as built on a proprietary web index and retrieval infrastructure, and unlob crawls, admits and serves its own corpus. Neither depends on Google or Bing, which is the material point when an upstream provider retires an API — as Microsoft did with Bing Web Search in August 2025.

Check the claims yourself

The free tier is 10,000 requests a month with no card. That is enough to test coverage, latency and result quality against your own queries — which is a better comparison than this page.