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  7. LlamaParse

LlamaParse logo

LlamaParse

Approaching Agent-Ready
Agent-Ready SaaS Index · llamaindex.ai · scored 2026-05-03
Score 76 / 100
Document Parsing
Free tier
Self-serve checkout
Public API

Based on public pricing signals, xpay verified that LlamaParse publishes Free, Starter, Pro, and Enterprise tiers with explicit credit-to-dollar conversion ($1.25/1,000 credits) and PAYG ceilings ($500/mo Starter, $5,000/mo Pro). Public docs are open and self-serve checkout is available across the first three tiers. The credit-per-page mapping varies by mode (basic vs agentic), so per-page cost requires reading docs — docking one per-unit point.

Live pricing pageSee LlamaParse pricing summary
Pricing snapshot
Flexible Plans for All Your Document Ingestion Needs — 1,000 credits = $1.25
As of 2026-05-03 · derived from www.llamaindex.ai/enterprise
Per-unit pricing

$1.25 per 1,000 credits (Basic parse ≥1 credit/page, agentic tiers higher)

Free

$0

10K credits/month free, no credit card
Tier 2

Self-serve

Enterprise

Contact sales

Tier 4

Available

Snapshot rendered from xpay's extracted pricing signals. Tier count capped at 5 (anti-slider). For the live page, see source link above.
Score breakdown
How LlamaParse scores on the 7 agent-ready dimensions

Public pricing

15 / 15

Usage-based / metered

22 / 25

Self-serve checkout

10 / 15

Public API

15 / 15

Low / no minimum

8 / 10

Unauth automated payment

6 / 10

Bonus (machine-readable pricing)On top of /100 base

0 / 5


Total
76 / 100
Agent purchase simulation
Six-step check: can an agent actually buy from LlamaParse?
✓

Discover price

https://www.llamaindex.ai/pricing — credit rate and tier comparison visible
✓

Select a plan

Four tiers (Free, Starter, Pro, Enterprise) with distinct credits/users/rate limits
✓

Pay per task

$1.25 per 1k credits + PAYG overage caps at https://www.llamaindex.ai/pricing
◐

Avoid a sales call

Free, Starter, Pro all self-serve; only Enterprise sales-led
✓

API docs without auth

https://docs.cloud.llamaindex.ai/llamaparse/getting_started — public
✓

Estimate cost upfront

Credit rate visible; per-page credit cost varies by parse tier and is documented separately
Analysis
Pros and cons for AI agents
Observational summary written by xpay from the signals captured on 2026-05-03. Not a review of the product — only of its current pricing posture for agent buyers.
✓ For an AI agent
  • Pricing is publicly visible on an indexable page — agents can read tiers without scraping past auth.
  • Per-unit billing is published, so an agent can budget for a single task before committing.
  • API documentation is reachable without a login — discovery and integration can happen in one session.
  • Per-unit rate is concrete enough that an agent can model expected spend before issuing a request.
  • A free tier exists, lowering the bar for an agent builder to prototype before committing budget.
◐ Opportunities for the publisher
  • Some tiers are sales-led; the highest-capacity surfaces are not self-serve.
  • PPU requires account creation and an issued API key; a fully unauthenticated agent purchase is not yet supported.
  • No /.well-known/ai-pricing.json or equivalent machine-readable pricing manifest is published — agents must rely on HTML scraping.
One-line fix
How LlamaParse could lift its score

LlamaParse is already Verified. Two missing points: (1) publish /.well-known/ai-pricing.json with credit rates and per-mode page costs; (2) anonymous one-shot PPU via xpay widget. Both lift toward 100/100.

pricing_visible

true

headline_phrasing

Flexible Plans for All Your Document Ingestion Needs — 1,000 credits = $1.25

tier_count

4

lowest_paid_entry_usd

0

free_tier

true

free_tier_terms

10K credits/month free, no credit card

per_unit_price

$1.25 per 1,000 credits (Basic parse ≥1 credit/page, agentic tiers higher)

annual_required

false

self_serve_paid_tiers

2

sales_only_tiers

1

public_api_docs_url

https://docs.cloud.llamaindex.ai/llamaparse/getting_started

api_docs_auth_walled

false

ai_pricing_json_present

false

agents_txt_present

false

anonymous_purchase_path

false

More in Document Parsing
Compare LlamaParse with peers
Highest-scoring companies in the same category that an AI agent might evaluate as an alternative.
Unstructured
74
unstructured.io
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Docparser
74
docparser.com
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Mathpix
73
mathpix.com
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Nanonets
71
nanonets.com
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Sensible
70
sensible.so
Approaching Agent-Ready
Reducto
68
reducto.ai
Approaching Agent-Ready
Mindee
57
mindee.com
Partially Agent-Ready
Rossum
30
rossum.ai
Not Agent-Ready Yet
Browse all Document Parsing →
Agent-Ready Spec
LlamaParse
Approaching Agent-Ready

76

/ 100 (rubric v1.1)

Category

Document Parsing

Pricing model

Flexible Plans for All Your Document Ingestion Needs — 1,000 credits = $1.25

Tier count

4

Free tier

Yes

Free tier terms

10K credits/month free, no credit card

Lowest paid entry

Free

Per-unit price

$1.25 per 1,000 credits (Basic parse ≥1 credit/page, agentic tiers higher)

Self-serve / sales-only tiers

2 / 1


Public API docs

Public

Anonymous purchase path

No

Machine-readable pricing

Not published


Last refreshed

2026-05-03

Actions
Open live pricing page
Verdict reflects Approaching Agent-Ready status under rubric v1.1. Source observed at https://www.llamaindex.ai/enterprise.
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