Analyst Price Targets β€” Consensus & Ratings API avatar

Analyst Price Targets β€” Consensus & Ratings API

Pricing

from $50.00 / 1,000 analyst target records

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Analyst Price Targets β€” Consensus & Ratings API

Analyst Price Targets β€” Consensus & Ratings API

Track analyst price targets and consensus ratings from SEC EDGAR β€” parsed, source-linked JSON for analysts, funds and AI agents.

Pricing

from $50.00 / 1,000 analyst target records

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Developer

NexGenData

NexGenData

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5 days ago

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Sell-side analyst price targets, consensus ratings and recent upgrade/downgrade actions for US-listed stocks, parsed into clean JSON. Built for analysts, funds, fintech builders and AI agents. Factual public market data β€” not financial or investment advice. Not affiliated with any exchange, broker or data vendor.

πŸ“Š What you get

One record per ticker. Key fields (full output has 27 fields):

  • symbol, company_name, sector, industry
  • current_price β€” last close from the source quote
  • consensus_target_price, target_median, target_high, target_low, n_analysts
  • upside_pct β€” consensus target vs current price
  • consensus_rating, recommendation_mean (1.0 = Strong Buy … 5.0 = Sell)
  • rating_strong_buy_count / rating_buy_count / rating_hold_count / rating_sell_count / rating_strong_sell_count / total_rated_analysts
  • recent_actions β€” individual sell-side actions from the last 90 days (firm, rating, target change, date), last_action_date
  • market_cap_usd, stockanalysis_url, data_source, fetched_at_utc

Source: public stock forecast pages on stockanalysis.com, whose underlying providers are S&P Global Market Intelligence (consensus, targets, ratings distribution) and TipRanks (individual analyst actions). Every record carries a direct source link.

Pricing: $0.05 per record returned (Pay-Per-Event), plus the standard $0.01 Actor-start event. About 20 records per $1. Symbols with no published sell-side coverage are skipped and not charged.

πŸ€– Use with AI agents

Structured, source-linked analyst data for LLM and agent pipelines β€” point Claude, the OpenAI Agents SDK, an n8n flow or any MCP-aware client at it.

Sample agent prompt:

Give me the consensus price target and rating spread for a ticker.

Agentic payments (x402): Supports agentic payment via x402 β€” agents can call this actor with USDC, no API key required.

⏰ Run on a schedule

{
"symbols": ["AAPL", "NVDA", "TSLA"],
"include_recent_actions": true
}

βœ… What happens when there is no data

  • Empty symbols β†’ the run succeeds with 0 rows and a message naming the missing field. Nothing is charged for data.
  • A ticker the source does not list, or one with no published analyst coverage β†’ that ticker is skipped and named in the run status message. No empty record is billed.
  • The source blocked or unreachable β†’ the run fails loudly with a message naming the cause, rather than finishing green with nothing in it.

Factual public market data β€” not financial or investment advice.